Clarified Arm C optimization strategy

Summary

In Progress

Understand
Reviewed plan and current agent progress.
Understand
Understand
Analyzed Arm C optimizer and proposer prompts.
Understand
Verify
Explained optimization focus and evaluation distribution.
Verify

Here is the plan /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md

>find .. -maxdepth 3 \( -name AGENTS.md -o -name CONTRIBUTING.md -o -name README.md -o -path '*/.github/PULL_REQUEST_TEMPLATE*' -o -path '*/.github/CONTRIBUTING.md' \) -print

../sift/README.md
../autoresearch/.pytest_cache/README.md
../autoresearch/README.md
../faceplant/README.md
../faceplant/AGENTS.md
../rl4repl/bench/README.md
../rl4repl/README.md
../rl4repl/sft/README.md
../jadoo/README.md
../jadoo/AGENTS.md
../lenso2/README.md
../lenso2/AGENTS.md
../README.md
../megasthenes-web/deploy/README.md
../megasthenes-web/README.md
../fivetwo/README.md
../fivetwo/AGENTS.md
../vocabgym/README.md
../vocabgym/AGENTS.md

>git status --short && printf '\nBRANCH=' && git branch --show-current && printf '\nREMOTES\n' && git remote -v && printf '\nHEAD\n' && git remote show origin | sed -n '/HEAD branch/s/.*: //p'

D ../editing-in-progress/.gitignore
 D ../editing-in-progress/README.md
 D ../editing-in-progress/config.example.toml
 D ../editing-in-progress/deno.json
 D ../editing-in-progress/deno.lock
 D ../editing-in-progress/native/LICENSE.webui
 D ../editing-in-progress/native/README.md
 D ../editing-in-progress/native/aarch64-apple-darwin/libwebui-2.dylib
 D ../editing-in-progress/native/aarch64-unknown-linux-gnu/libwebui-2.so
 D ../editing-in-progress/native/x86_64-apple-darwin/libwebui-2.dylib
 D ../editing-in-progress/native/x86_64-unknown-linux-gnu/libwebui-2.so
 D ../editing-in-progress/scripts/build_app.ts
 D ../editing-in-progress/scripts/build_ui.ts
 D ../editing-in-progress/scripts/check_webui.ts
 D ../editing-in-progress/server/app/api.ts
 D ../editing-in-progress/server/app/api_test.ts
 D ../editing-in-progress/server/app/local_app.ts
 D ../editing-in-progress/server/app/local_app_test.ts
 D ../editing-in-progress/server/app/local_document.ts
 D ../editing-in-progress/server/app/local_document_test.ts
 D ../editing-in-progress/server/app/persistence.ts
 D ../editing-in-progress/server/app/persistence_test.ts
 D ../editing-in-progress/server/cli.ts
 D ../editing-in-progress/server/cli_test.ts
 D ../editing-in-progress/server/config_file.ts
 D ../editing-in-progress/server/config_file_test.ts
 D ../editing-in-progress/server/core/config.ts
 D ../editing-in-progress/server/core/config_test.ts
 D ../editing-in-progress/server/core/protocol.ts
 D ../editing-in-progress/server/core/protocol_test.ts
 D ../editing-in-progress/server/core/scram.ts
 D ../editing-in-progress/server/core/scram_test.ts
 D ../editing-in-progress/server/core/uuid.ts
 D ../editing-in-progress/server/core/uuid_test.ts
 D ../editing-in-progress/server/http/mod.ts
 D ../editing-in-progress/server/http/mod_test.ts
 D ../editing-in-progress/server/log.ts
 D ../editing-in-progress/server/main.ts
 D ../editing-in-progress/server/main_test.ts
 D ../editing-in-progress/server/network/client.ts
 D ../editing-in-progress/server/network/client_test.ts
 D ../editing-in-progress/server/network/coordinator.ts
 D ../editing-in-progress/server/network/network_e2e_test.ts
 D ../editing-in-progress/server/state/room.ts
 D ../editing-in-progress/server/state/room_test.ts
 D ../editing-in-progress/server/state/storage.ts
 D ../editing-in-progress/server/state/storage_test.ts
 D ../editing-in-progress/server/window.ts
 D ../editing-in-progress/server/window_test.ts
 D ../editing-in-progress/ui/index.html
 D ../editing-in-progress/ui/src/automerge_doc.ts
 D ../editing-in-progress/ui/src/automerge_doc_test.ts
 D ../editing-in-progress/ui/src/bridge.ts
 D ../editing-in-progress/ui/src/bridge_test.ts
 D ../editing-in-progress/ui/src/index.tsx
 D ../editing-in-progress/ui/src/state.ts
 D ../editing-in-progress/ui/src/state_test.ts
 D ../editing-in-progress/ui/src/style.css
 D ../editing-in-progress/ui/src/test_support.ts
 D ../editing-in-progress/vendor/deno-webui/LICENSE
 D ../editing-in-progress/vendor/deno-webui/deno.json
 D ../editing-in-progress/vendor/deno-webui/deps.ts
 D ../editing-in-progress/vendor/deno-webui/mod.ts
 D ../editing-in-progress/vendor/deno-webui/src/lib.ts
 D ../editing-in-progress/vendor/deno-webui/src/types.ts
 D ../editing-in-progress/vendor/deno-webui/src/utils.ts
 D ../editing-in-progress/vendor/deno-webui/src/webui.ts
?? ../.DS_Store
?? ../.claude/worktrees/
?? ../.idea/
?? ../.vscode/
?? tools/dashboard/lever-history

BRANCH=feat/autoresearch

REMOTES
origin	https://github.com/nilenso/ai-playground (fetch)
origin	https://github.com/nilenso/ai-playground (push)

HEAD
main

>git fetch origin --prune && gh pr list --state all --json number,title,state,baseRefName,headRefName,url --limit 50

[{"baseRefName":"main","headRefName":"feat/autoresearch","number":120,"state":"MERGED","title":"Add GEPA-driven autoresearch loop for the botmap CLI","url":"https://github.com/nilenso/ai-playground/pull/120"},{"baseRefName":"main","headRefName":"feat/rl4repl-benchmark","number":119,"state":"MERGED","title":"Add rl4repl SFT data and REPL benchmark","url":"https://github.com/nilenso/ai-playground/pull/119"},{"baseRefName":"main","headRefName":"fix/eip-macos-browser-fallback","number":118,"state":"MERGED","title":"Add macOS browser fallback","url":"https://github.com/nilenso/ai-playground/pull/118"},{"baseRefName":"main","headRefName":"fix/eip-connection-diagnostics","number":117,"state":"MERGED","title":"Add collaboration connection diagnostics","url":"https://github.com/nilenso/ai-playground/pull/117"},{"baseRefName":"main","headRefName":"fix/linux-browser-lifetime","number":116,"state":"MERGED","title":"Fix Linux editor browser lifetime","url":"https://github.com/nilenso/ai-playground/pull/116"},{"baseRefName":"main","headRefName":"fix/editing-in-progress-runtime","number":115,"state":"MERGED","title":"Fix editing-in-progress Linux runtime","url":"https://github.com/nilenso/ai-playground/pull/115"},{"baseRefName":"main","headRefName":"feature/editing-in-progress","number":114,"state":"MERGED","title":"Feature/editing in progress","url":"https://github.com/nilenso/ai-playground/pull/114"},{"baseRefName":"main","headRefName":"siri/add-sift","number":113,"state":"MERGED","title":"sift: add cited source-grounded RAG agent","url":"https://github.com/nilenso/ai-playground/pull/113"},{"baseRefName":"main","headRefName":"neena/jadoo-undo-button","number":112,"state":"MERGED","title":"Jadoo: add one-hour undo button after leave sync","url":"https://github.com/nilenso/ai-playground/pull/112"},{"baseRefName":"main","headRefName":"neena/jadoo-fix-migration-hash","number":111,"state":"MERGED","title":"Jadoo: restore original migration 002 hash","url":"https://github.com/nilenso/ai-playground/pull/111"},{"baseRefName":"main","headRefName":"neena/jadoo-leave-button-options","number":110,"state":"MERGED","title":"Jadoo: support time-specific leave and button-only leave resolution","url":"https://github.com/nilenso/ai-playground/pull/110"},{"baseRefName":"main","headRefName":"jadoo-gcal-all-day-leaves","number":109,"state":"MERGED","title":"jadoo: create full-day leave events as all-day gcal entries","url":"https://github.com/nilenso/ai-playground/pull/109"},{"baseRefName":"main","headRefName":"neena/jadoo-ai-model-validation","number":108,"state":"MERGED","title":"Upgrade pi-ai and validate AI models","url":"https://github.com/nilenso/ai-playground/pull/108"},{"baseRefName":"main","headRefName":"neena/jadoo-debug-shell-and-logging","number":107,"state":"MERGED","title":"Add Jadoo debug logging and dev shell","url":"https://github.com/nilenso/ai-playground/pull/107"},{"baseRefName":"main","headRefName":"jadoo-slash-sync","number":106,"state":"MERGED","title":"Add /jadoo-sync slash command","url":"https://github.com/nilenso/ai-playground/pull/106"},{"baseRefName":"main","headRefName":"jadoo-remove-prod-deploy","number":105,"state":"MERGED","title":"Remove jadoo prod deploy workflow job","url":"https://github.com/nilenso/ai-playground/pull/105"},{"baseRefName":"main","headRefName":"jadoo-better-errors","number":104,"state":"MERGED","title":"Improve jadoo error handling","url":"https://github.com/nilenso/ai-playground/pull/104"},{"baseRefName":"main","headRefName":"migrate-to-megasthenes","number":103,"state":"MERGED","title":"Migrate to megasthenes","url":"https://github.com/nilenso/ai-playground/pull/103"},{"baseRefName":"main","headRefName":"siri/migrate-megasthenes-phase-1","number":102,"state":"CLOSED","title":"Migrate ask-forge-web to @nilenso/megasthenes","url":"https://github.com/nilenso/ai-playground/pull/102"},{"baseRefName":"main","headRefName":"neena/faceplant-phase2-self-metrics","number":101,"state":"MERGED","title":"Add internal metrics endpoint for self-observability","url":"https://github.com/nilenso/ai-playground/pull/101"},{"baseRefName":"main","headRefName":"neena/faceplant-self-observability-readme","number":100,"state":"MERGED","title":"Refine jadoo description in root README","url":"https://github.com/nilenso/ai-playground/pull/100"},{"baseRefName":"main","headRefName":"fix-jadoo-deploy","number":99,"state":"MERGED","title":"Fix jadoo deploy: SSH host key handling","url":"https://github.com/nilenso/ai-playground/pull/99"},{"baseRefName":"main","headRefName":"jadoo-toml-plugin-env","number":98,"state":"MERGED","title":"Seed process.env from TOML [env] section for plugin config","url":"https://github.com/nilenso/ai-playground/pull/98"},{"baseRefName":"main","headRefName":"jadoo-ci-deploy","number":97,"state":"MERGED","title":"Add CI/CD pipeline and Docker deployment for jadoo","url":"https://github.com/nilenso/ai-playground/pull/97"},{"baseRefName":"main","headRefName":"jadoo-deploy-pipeline","number":96,"state":"CLOSED","title":"jadoo: add GitHub CI pipeline for deploy via SSH + systemd","url":"https://github.com/nilenso/ai-playground/pull/96"},{"baseRefName":"main","headRefName":"jadoo-user-import","number":95,"state":"MERGED","title":"jadoo: add user import from Slack + Harvest email linking","url":"https://github.com/nilenso/ai-playground/pull/95"},{"baseRefName":"main","headRefName":"leavebot-feature-parity-5504533338468588161","number":94,"state":"MERGED","title":"Implement Leavebot Feature Parity","url":"https://github.com/nilenso/ai-playground/pull/94"},{"baseRefName":"main","headRefName":"simplify-bot-initialization-16223528671704033445","number":93,"state":"MERGED","title":"Refactor: Simplify Bot initialization in jadoo","url":"https://github.com/nilenso/ai-playground/pull/93"},{"baseRefName":"main","headRefName":"jadoo","number":92,"state":"MERGED","title":"Add jadoo - Slack bot for leave management","url":"https://github.com/nilenso/ai-playground/pull/92"},{"baseRefName":"main","headRefName":"fix-admin-email-query","number":91,"state":"MERGED","title":"ask-forge-web: filter getRandomAdminEmail by approved status","url":"https://github.com/nilenso/ai-playground/pull/91"},{"baseRefName":"main","headRefName":"fix/scp-host-cloudflare","number":90,"state":"MERGED","title":"fix(ci): replace scp-action with native scp for deploy","url":"https://github.com/nilenso/ai-playground/pull/90"},{"baseRefName":"main","headRefName":"notify-admin-on-waitlist","number":89,"state":"MERGED","title":"ask-forge-web: email a random admin when someone joins the waitlist","url":"https://github.com/nilenso/ai-playground/pull/89"},{"baseRefName":"main","headRefName":"fix-github-email","number":88,"state":"MERGED","title":"ask-forge-web: fetch private email from GitHub /user/emails","url":"https://github.com/nilenso/ai-playground/pull/88"},{"baseRefName":"main","headRefName":"fix-auth-status-deleted-user","number":87,"state":"MERGED","title":"ask-forge-web: fix ghost auth for deleted users","url":"https://github.com/nilenso/ai-playground/pull/87"},{"baseRefName":"main","headRefName":"disabled-user-messaging","number":86,"state":"MERGED","title":"ask-forge-web: distinct messaging for disabled/disapproved users","url":"https://github.com/nilenso/ai-playground/pull/86"},{"baseRefName":"main","headRefName":"add-mailgun-to-compose","number":85,"state":"MERGED","title":"ask-forge-web: pass Mailgun env vars through docker-compose","url":"https://github.com/nilenso/ai-playground/pull/85"},{"baseRefName":"main","headRefName":"admin-panel-improvements","number":84,"state":"MERGED","title":"ask-forge-web: admin panel — disapprove, disable, grouped user view","url":"https://github.com/nilenso/ai-playground/pull/84"},{"baseRefName":"main","headRefName":"fix/scp-host-cloudflare","number":83,"state":"MERGED","title":"fix(ci): use server.ask.nilenso.ai for SCP deploy step","url":"https://github.com/nilenso/ai-playground/pull/83"},{"baseRefName":"main","headRefName":"waitlist-and-logging","number":82,"state":"MERGED","title":"ask-forge-web: add waitlist system, structured logging, and SSE connect streaming","url":"https://github.com/nilenso/ai-playground/pull/82"},{"baseRefName":"main","headRefName":"fix/deploy-pipeline-and-server-config","number":81,"state":"MERGED","title":"fix(deploy): add Phoenix stack, gVisor DNS fix, and CI deploy sync","url":"https://github.com/nilenso/ai-playground/pull/81"},{"baseRefName":"main","headRefName":"feat/phoenix-setup","number":80,"state":"MERGED","title":"feat: add Arize Phoenix for OpenTelemetry trace observability","url":"https://github.com/nilenso/ai-playground/pull/80"},{"baseRefName":"main","headRefName":"fix/error-message-spacing","number":79,"state":"MERGED","title":"ask-forge-web: fix error message spacing on login page","url":"https://github.com/nilenso/ai-playground/pull/79"},{"baseRefName":"main","headRefName":"fix/cache-busting-on-deploy","number":78,"state":"MERGED","title":"ask-forge-web: cache-bust index.js on deploy via content hash","url":"https://github.com/nilenso/ai-playground/pull/78"},{"baseRefName":"main","headRefName":"fix/signup-denied-error-flash","number":77,"state":"MERGED","title":"fix: signup denied error message flashes and disappears","url":"https://github.com/nilenso/ai-playground/pull/77"},{"baseRefName":"main","headRefName":"ask-forge-web/allowlist-signups","number":76,"state":"MERGED","title":"ask-forge-web: restrict signups to allowlisted GitHub usernames","url":"https://github.com/nilenso/ai-playground/pull/76"},{"baseRefName":"main","headRefName":"ask-forge-web/connect-progress","number":75,"state":"MERGED","title":"ask-forge-web: stream clone progress via SSE","url":"https://github.com/nilenso/ai-playground/pull/75"},{"baseRefName":"main","headRefName":"ask-forge-web/async-clone","number":74,"state":"MERGED","title":"ask-forge-web: bump ask-forge to 0.0.14 (async clone)","url":"https://github.com/nilenso/ai-playground/pull/74"},{"baseRefName":"main","headRefName":"ask-forge-web/structured-logging","number":73,"state":"MERGED","title":"ask-forge-web: structured logging with LogTape","url":"https://github.com/nilenso/ai-playground/pull/73"},{"baseRefName":"main","headRefName":"fix-link-text","number":72,"state":"MERGED","title":"fix(ui): prevent backticks from being rendered in link text","url":"https://github.com/nilenso/ai-playground/pull/72"},{"baseRefName":"main","headRefName":"open-links-in-new-tab","number":71,"state":"MERGED","title":"feat: open all links in a new tab","url":"https://github.com/nilenso/ai-playground/pull/71"}]

I read docs/plan.md.

Workflow checkpoint before implementation:

Current branch: feat/autoresearch
Its PR is already merged: #120
Deployment branch: main
Worktree is dirty with many unrelated deletions under ../editing-in-progress/ and untracked files/directories, including tools/dashboard/lever-history
Because the current branch is merged and the worktree is dirty, I should not start editing yet.

Detected next implementation sequence from the plan:

Phase 0a: add --setting-sources project to the claude -p invocation in runner.py
Phase 1: build autoresearch/agenteval/contract.py
Then proceed with taxonomy/probe/sabotage in later slices

Given the plan size, this should use sliced delivery, starting from a fresh branch off main.

Please confirm how you want me to proceed:

Clean/stash/ignore the unrelated dirty work and create a new branch from main, or
Stay on this branch and make changes without PR workflow, or
Only implement Phase 0a first as a small direct change.

I was running the experiment from claude c1b969b9-2854-4487-b27a-158d586ea4c4. claude subscription ran out, can you get the conetxt from the session and resume. I was Running in a research loop. This particular session was my horse reader. I have another pains which have my arm A, B and C and my orchestrator would give directions to all these arms. You will get all the context if you go through all my session context of clothes. Clarify any questions you have before

>find /Users/priyangapkini -path '*c1b969b9-2854-4487-b27a-158d586ea4c4*' -print 2>/dev/null | head -50

/Users/priyangapkini/.claude/projects/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad-skilltest-6dvG
/Users/priyangapkini/.claude/projects/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad-skilltest-6dvG/a4486fe5-621b-4e56-a48e-822c8222e7f3.jsonl
/Users/priyangapkini/.claude/projects/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad-skilltest-6dvG/memory
/Users/priyangapkini/.claude/projects/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad
/Users/priyangapkini/.claude/projects/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad/015de3bc-ac58-4dc7-bfa1-0c2fe68a4a9b.jsonl
/Users/priyangapkini/.claude/projects/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad/memory
/Users/priyangapkini/.claude/projects/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad/13883612-ee25-4005-84e5-cea72cecb810.jsonl
/Users/priyangapkini/.claude/projects/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad/2a0c0393-ff96-4b7b-ad84-aff68b0655b9.jsonl
/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4.jsonl
/Users/priyangapkini/.claude/session-env/c1b969b9-2854-4487-b27a-158d586ea4c4
/Users/priyangapkini/Library/Caches/claude-cli-nodejs/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad-skilltest-6dvG
/Users/priyangapkini/Library/Caches/claude-cli-nodejs/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad-skilltest-6dvG/mcp-logs-claude-ai-Notion
/Users/priyangapkini/Library/Caches/claude-cli-nodejs/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad-skilltest-6dvG/mcp-logs-claude-ai-Notion/2026-08-20T12-06-55-744Z.jsonl
/Users/priyangapkini/Library/Caches/claude-cli-nodejs/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad-skilltest-6dvG/mcp-logs-claude-ai-Slack
/Users/priyangapkini/Library/Caches/claude-cli-nodejs/-private-tmp-claude-501--Users-priyangapkini-nilenso-ai-playground-autoresearch-c1b969b9-2854-4487-b27a-158d586ea4c4-scratchpad-skilltest-6dvG/mcp-logs-claude-ai-Slack/2026-08-20T12-06-55-744Z.jsonl

>python - <<'PY'
import json, pathlib
p=pathlib.Path('/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4.jsonl')
print(p, p.stat().st_size)
for i,line in enumerate(p.open()):
    if i<5:
        obj=json.loads(line)
        print(i, obj.keys(), obj.get('type'), obj.get('timestamp'))
    else: break
print('lines', sum(1 for _ in p.open()))
PY

/bin/bash: python: command not found


Command exited with code 127

>python3 - <<'PY'
import json, pathlib
p=pathlib.Path('/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4.jsonl')
print(p, p.stat().st_size)
with p.open() as f:
    for i,line in enumerate(f):
        if i<5:
            obj=json.loads(line)
            print(i, obj.keys(), obj.get('type'), obj.get('timestamp'))
        else: break
print('lines', sum(1 for _ in p.open()))
PY

/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4.jsonl 1001028
0 dict_keys(['type', 'mode', 'sessionId']) mode None
1 dict_keys(['type', 'permissionMode', 'sessionId']) permission-mode None
2 dict_keys(['type', 'atis', 'sessionId']) atis-latch None
3 dict_keys(['type', 'messageId', 'snapshot', 'isSnapshotUpdate']) file-history-snapshot None
4 dict_keys(['parentUuid', 'isSidechain', 'promptId', 'type', 'message', 'uuid', 'timestamp', 'permissionMode', 'origin', 'promptSource', 'userType', 'entrypoint', 'cwd', 'sessionId', 'version', 'gitBranch']) user 2026-08-19T11:04:23.758Z
lines 423

>python3 - <<'PY'
import json, pathlib
p=pathlib.Path('/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4.jsonl')
for i,line in enumerate(p.open()):
    obj=json.loads(line)
    typ=obj.get('type')
    if typ not in ('user','assistant'): continue
    msg=obj.get('message',{})
    role=msg.get('role', typ)
    parts=msg.get('content','')
    texts=[]
    if isinstance(parts, str): texts=[parts]
    elif isinstance(parts, list):
        for part in parts:
            if isinstance(part, dict):
                if part.get('type')=='text': texts.append(part.get('text',''))
                elif part.get('type')=='tool_use': texts.append(f"[tool_use {part.get('name')} {str(part.get('input'))[:200]}]")
                elif part.get('type')=='tool_result': texts.append(f"[tool_result {str(part.get('content'))[:300]}]")
            else: texts.append(str(part))
    text='\n'.join(t for t in texts if t)
    if not text: continue
    print(f"\n--- {i} {role} {obj.get('timestamp')} ---")
    print(text[:2000])
PY

**Its reasoning is read back afterwards**, and sorted into two buckets that
need different fixes. Both land in `blocked-files.txt` and `summary.json`.

*An existing file we left out* — just add it next run:

```
GEPA REFERRED TO EXISTING FILES IT COULD NOT ED]

--- 66 assistant 2026-08-20T08:20:15.750Z ---
[tool_use Bash {'command': 'grep -n "add_argument\\|def main\\|argparse" autoresearch/optimize.py | head -60', 'description': 'Extract optimize CLI flags'}]

--- 67 user 2026-08-20T08:20:15.864Z ---
[tool_result 24:import argparse
259:def main() -> None:
260:    p = argparse.ArgumentParser(description=__doc__,
261:                                formatter_class=argparse.RawDescriptionHelpFormatter)
262:    p.add_argument("--lever", choices=sorted(config.LEVERS), default="tool",
264:    p.add_argument("--bud]

--- 70 assistant 2026-08-20T08:20:33.682Z ---
Context gathered. Before I spin up the panes, let me check the mechanism and confirm the three variants.

--- 71 assistant 2026-08-20T08:20:35.494Z ---
[tool_use Bash {'command': 'ls -la ~/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/*.jsonl 2>/dev/null | tail -5; echo "--- blocked ---"; cat experiments/runs/tool-3009509-1787049966/block]

--- 72 assistant 2026-08-20T08:20:35.505Z ---
[tool_use Skill {'skill': 'herdr'}]

--- 73 user 2026-08-20T08:20:35.596Z ---
[tool_result -rw-------@ 1 priyangapkini  staff  529096 20 Aug 11:57 /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/0f579b33-6264-40c1-ba2f-3146add61f02.jsonl
-rw-------@ 1 priyangapkini  staff   63998 17 Aug 20:32 /Users/priyangapkini/.claude/projects/-Users-priyan]

--- 74 user 2026-08-20T08:20:35.600Z ---
[tool_result Launching skill: herdr]

--- 75 user 2026-08-20T08:20:35.599Z ---
Base directory for this skill: /Users/priyangapkini/.claude/skills/herdr

# Herdr

Herdr organizes terminals into workspaces, tabs, and panes, recognizes coding agents running inside panes, and exposes the current session through the `herdr` CLI.

Before issuing any control command, verify that this agent is running inside a Herdr-managed pane:

```bash
test "${HERDR_ENV:-}" = 1
```

If the check fails, say that you are not running inside Herdr and stop. Do not inspect or control the focused Herdr session from outside Herdr.

When the check passes, the `herdr` binary in `PATH` talks to the current session. Use it to inspect neighboring work, create terminal layout, start agents and commands, read output, and wait for state changes.

## Learn the current CLI

The installed binary is the authority for command syntax. Start with:

```bash
herdr --help
```

Then print the relevant command group by running the group without a subcommand:

```bash
herdr agent
herdr pane
herdr workspace
herdr tab
herdr worktree
herdr terminal
herdr notification
herdr integration
herdr session
```

Do not run bare `herdr` for discovery; it launches or attaches the TUI. Do not probe a mutating nested command by omitting arguments. Commands such as `herdr workspace create` are valid with defaults and will execute.

Most control commands return JSON. Read identifiers and state from those responses instead of predicting them.

## Understand layout, panes, and agents

Choose the primitive that matches the job:

- Workspace, tab, and pane topology organize terminal locations.
- Pane commands control raw terminals, shells, tests, servers, input, and output.
- Agent commands control the recognized coding agent currently occupying a pane.

A pane exists whether or not it contains an agent. `agent start` requires an existing available shell pane and never creates, splits, or moves layout. Use pane commands for ordinary processes. Use agent commands when Herdr must validate agent identity or interpret

--- 84 assistant 2026-08-20T08:20:49.883Z ---
Context is in place. Here's what the last run tells us:

**Run `tool-3009509` (lever=tool, budget 60, 254 min):** 61 evaluations, only **3 candidates tried**, and only `geocoding.py` actually changed. The loud signal is in `blocked-files.txt` — GEPA reached for `botmap/core.py` **35 times** and couldn't edit it, plus wanted four files that don't exist (`AGENTS.md`, `SKILL.md`, `catalog.py`, `data.py`).

So the interesting next experiments are basically written for us. Two things I need from you before spinning panes:

--- 85 assistant 2026-08-20T08:20:58.838Z ---
[tool_use AskUserQuestion {'questions': [{'question': 'Which three variants should the parallel runs test?', 'header': 'Variants', 'multiSelect': True, 'options': [{'label': 'Widen: +core.py +cache.py', 'description': '--lever]

--- 86 user 2026-08-20T08:26:48.911Z ---
[tool_result Your questions have been answered: "Budget per run? Each evaluation is roughly $0.50 and ~3 min, and three run concurrently."="60 each (~$90, ~4h)". You can now continue with these answers in mind.]

--- 89 assistant 2026-08-20T08:27:00.491Z ---
Budget noted: **60 each**. You didn't pick variants, so I'll go with the three that span the design space best — widen scope, change lever, go deeper — and you can redirect any pane after it starts:

1. `tool` + `core.py`/`cache.py` (chases the 35× signal)
2. `prompt` lever (the A/B the README asks for)
3. `geocoding.py` narrow & deep (full budget on the one file that moved)

Let me verify the fork mechanism and that three concurrent runs won't collide:

--- 90 assistant 2026-08-20T08:27:01.199Z ---
[tool_use Bash {'command': 'claude --help 2>&1 | grep -iE "resume|fork-session|session-id" ', 'description': 'Check claude resume/fork flags'}]

--- 91 user 2026-08-20T08:27:01.431Z ---
[tool_result   --fork-session                        When resuming, create a new session ID
                                        with --resume or --continue)
  --from-pr [value]                     Resume a session linked to a PR by PR
                                        (shown in the prompt box, /resume
]

--- 92 assistant 2026-08-20T08:27:01.985Z ---
[tool_use Bash {'command': 'sed -n \'1,60p\' autoresearch/worktree.py; echo "=== CREDITS ==="; sed -n \'1,50p\' autoresearch/credits.py', 'description': 'Check worktree isolation and credits check'}]

--- 93 user 2026-08-20T08:27:02.071Z ---
[tool_result """Private copies of the tool, so experiments can't tread on each other.

A git worktree is a second checkout of the same repository in another folder.
We give each worker its own, write the candidate version of the file into it,
and run the questions there. Nothing we do touches your real checkout.]

--- 96 assistant 2026-08-20T08:27:07.321Z ---
[tool_use Bash {'command': 'sed -n \'58,120p\' autoresearch/worktree.py; echo "=== who calls Pool ==="; grep -rn "Pool(\\|acquire(\\|base=" autoresearch/*.py | grep -v "^autoresearch/worktree.py"', 'description': 'C]

--- 97 user 2026-08-20T08:27:07.422Z ---
[tool_result     def acquire(self) -> Path:
        """The calling thread's private copy, made on first use."""
        key = threading.get_ident()
        with self._lock:
            if key not in self._trees:
                self._trees[key] = self._create(f"{self.sha}-{len(self._trees)}")
            return ]

--- 105 assistant 2026-08-20T08:27:25.627Z ---
Found a real blocker before launching — worth stating plainly.

--- 106 user 2026-08-20T08:27:26.755Z ---
[Request interrupted by user]

--- 108 user 2026-08-20T08:32:04.265Z ---

None of your earlier suggested options is what I want to try. I want to try three new options that I have, three new ideas. First one is write a skill.md where the skill will have all the instruction to run an O2 research loop. So you're not essentially writing any JPEG code or anything. The skill will spin up an agent, it will run a loop on its own. It will try to achieve the goal without me writing the code first. It's just a skill that will spin up the auto research. Second one is just give the skill.md from the board map and try to optimize the skill.md file, just a skill.md file and see how the tool improves in the third pane. I want you to take the proposal as an input and try to wait I don't want that the third one could be to give more context on the repo to JPA. So instead of optimizing one file per run it'll be good to go in another direction you know like try to improve the age and experience to maybe give the full repo context first the optimization could be optimizing the agent interface optimizing or reducing the agent struggle which means reducing the agent failures so different agent failures could be like right you know the recovery error recovery could be improved agents should have like more context on the reducing the number of turns agent takes to complete the task so we can reduce the wasteful commands it does so like reducing the optimizing the path to the current comment that could be the goal giving transparent feedback loop to prevent silent failures better guidance on how to use a CLI through skill or CLI help commands so these are the different things that I want to try out you know let's first create a plan on how we can proceed with this let's see like what are the missing things or like if you need more clarifications we can go over it and then we can execute these three options in parallel

--- 111 assistant 2026-08-20T08:32:21.423Z ---
Good — those are much more interesting than what I offered. Let me read the pieces I'd need to plan against, then lay out the plan and my open questions.

--- 112 assistant 2026-08-20T08:32:23.544Z ---
[tool_use Bash {'command': 'echo "=== config.py ===" && cat autoresearch/config.py', 'description': 'Read config.py for levers and paths'}]

--- 113 user 2026-08-20T08:32:23.652Z ---
[tool_result === config.py ===
"""Everything that must stay the same across the whole run.

If any of these changed mid-run, two measurements couldn't be compared, and the
whole search would be chasing its own tail. So they live in one place and
nothing else is allowed to override them.

The only thing imported ]

--- 114 assistant 2026-08-20T08:32:24.057Z ---
[tool_use Bash {'command': 'echo "=== score.py ===" && cat autoresearch/score.py && echo "=== taxonomy.py ===" && cat autoresearch/taxonomy.py', 'description': 'Read score.py and taxonomy.py'}]

--- 115 user 2026-08-20T08:32:24.131Z ---
[tool_result === score.py ===
"""Turns one attempt at a question into a number, plus a written explanation.

The explanation matters as much as the number here. GEPA improves things by
reading *why* something failed, so every score comes with the commands that
were run and what went wrong with them.
"""

from __]

--- 123 assistant 2026-08-20T08:32:29.431Z ---
[tool_use Bash {'command': 'echo "=== trace.py ===" && cat autoresearch/trace.py', 'description': 'Read trace.py'}]

--- 124 user 2026-08-20T08:32:29.544Z ---
[tool_result === trace.py ===
"""Reads the two things a single question leaves behind.

1. The command log: every `botmap ...` the AI ran, with what came back.
2. The transcript: what the AI finally said, and what it cost.

Together these are the raw evidence. The score is derived from them, and the
same evidenc]

--- 125 assistant 2026-08-20T08:32:30.895Z ---
[tool_use Bash {'command': 'echo "=== skill.md ==="; wc -l ~/workspace/botmap/botmap/data/skill.md; head -40 ~/workspace/botmap/botmap/data/skill.md; echo; echo "=== runner.py head ==="; sed -n \'1,70p\' autoresearc]

--- 126 user 2026-08-20T08:32:33.086Z ---
[tool_result === skill.md ===
     267 /Users/priyangapkini/workspace/botmap/botmap/data/skill.md
---
name: botmap
description: Use when a user's question or task involves places, buildings, roads, addresses, neighborhoods, or other geographic features — even if they don't use geo terms. Examples: "how many coff]

--- 129 assistant 2026-08-20T08:33:13.708Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; echo "=== num_turns usage ==="; grep -rn "num_turns\\|len(calls)\\|len(a.calls)" autoresearch/ --include=*.py; echo "=== object]

--- 130 user 2026-08-20T08:33:13.804Z ---
[tool_result === num_turns usage ===
(eval):1: no matches found: --include=*.py]

--- 131 assistant 2026-08-20T08:33:14.808Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; echo "=== proposer.py ==="; sed -n \'1,45p\' autoresearch/proposer.py; echo "=== optimize.py 100-175 ==="; sed -n \'100,175p\' ]

--- 132 user 2026-08-20T08:33:14.890Z ---
[tool_result === proposer.py ===
"""Lets the Claude Code subscription do the proposing, instead of an API key.

GEPA normally reaches its model through litellm, which bills an API key. But
it will accept any callable of the shape `(prompt) -> text`, so we can hand it
the `claude` command line instead -- the same]

--- 140 assistant 2026-08-20T08:33:20.658Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; echo "=== num_turns / call-count in scoring ==="; grep -rn "num_turns" autoresearch/ ; echo "--- objective/efficiency callers -]

--- 141 user 2026-08-20T08:33:22.582Z ---
[tool_result === num_turns / call-count in scoring ===
autoresearch/trace.py:54:    num_turns: int = 0
autoresearch/trace.py:135:            num_turns=int(result.get("num_turns") or 0),
--- objective/efficiency callers ---
autoresearch/config.py:93:WEIGHTS = {"correctness": 0.60, "token_efficiency": 0.20, "wallc]

--- 144 assistant 2026-08-20T08:33:49.978Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; grep -n "def load\\|def measure\\|CACHE\\|baselines" autoresearch/baseline.py | head -20; echo "--- cached baselines ---"; find]

--- 145 user 2026-08-20T08:33:50.105Z ---
[tool_result 45:    return config.ROOT / "experiments" / "baselines" / f"{sha}.json"
48:def load(sha: str) -> dict[str, Reading] | None:
56:def measure(questions: list[Question], tree: Path, sha: str,
--- cached baselines ---
experiments/baselines
experiments/baselines/3009509.json
artifacts
baselines
logs
propo]

--- 148 assistant 2026-08-20T08:34:09.111Z ---
Context is complete. Here's the plan, and the three things I need you to decide.

## What I found that changes the shape of this

**1. Your arm 2 already exists.** `config.py:84` defines `LEVERS["prompt"] = ("botmap/data/skill.md",)`, and `runner.py::_install_instructions` copies that file into `.claude/skills/botmap/SKILL.md` for the agent to read. So "optimize just the skill.md" is literally `--lever prompt`. No code to write — and because it's one file instead of four, all 60 evaluations land on it (~60 attempts vs ~15/file last run).

**2. Your arm 3 is half-built already.** `trace.py:54` captures `num_turns` per attempt — and nothing scores it. Same for command count. The scorer only looks at *did it finish*, *did it fall back to `download`*, *did it error*. So "reduce agent struggle" is mostly a **scoring change**, not new plumbing. Signals available today with zero new instrumentation:

| Signal | Where it already lives | Used in score? |
|---|---|---|
| turns taken | `trace.py:54` `num_turns` | ❌ |
| commands run | `len(attempt.calls)` | ❌ |
| wasted commands before first success | `score.py:59` `first_bad` | partially |
| **silent failure** (exit 0 but wrong) | `taxonomy.py:33` `bad_category_value` | ❌ (only as generic error) |
| error recovery | `score.py:69` `a.recovered` | ✅ (softens penalty only) |

That last one is worth noting — `BACKGROUND` already calls silent zero-results *"the worst failure mode in the system"*, but the score barely distinguishes it from a typo.

**3. Baseline is cached.** `experiments/baselines/3009509.json` exists, so any run at that commit skips the ~1hr/$15 yardstick measurement. All three arms share it if they all sit at `3009509`.

## Blocker: three GEPA runs in parallel will corrupt each other

`worktree.py:47` builds its private copy at `{BOTMAP_REPO}/../botmap-oa-{sha}-{index}`. With `--workers 1` the index is always `0` and the sha is the same, so all three runs resolve to **the same path** — and `_create` does `if path.

--- 149 assistant 2026-08-20T08:34:23.334Z ---
[tool_use AskUserQuestion {'questions': [{'question': 'Arm A — how much should the skill-driven loop reuse the existing harness?', 'header': 'Arm A scope', 'multiSelect': False, 'options': [{'label': 'Reuse measurement, agent ]

--- 150 user 2026-08-20T08:42:21.708Z ---
[tool_result The user answered: "Arm A — how much should the skill-driven loop reuse the existing harness?"="use the exisiting evals from botmap repo. use the questions.yaml", "Arm C braids two changes. Which do we actually run?"="Both, as you described", "Which agent-struggle signals should the new scorer rewar]

--- 158 assistant 2026-08-20T08:42:26.666Z ---
All four metrics, both C changes, and Arm A grounded in botmap's own evals. Let me look at that evals directory — I haven't seen it yet.

--- 159 assistant 2026-08-20T08:42:27.339Z ---
[tool_use Bash {'command': 'cd ~/workspace/botmap; ls -la evals/; echo "=== justfile eval targets ==="; grep -n -A3 -i "eval" justfile | head -40', 'description': 'Inspect botmap evals directory'}]

--- 160 user 2026-08-20T08:42:29.487Z ---
[tool_result total 96
-rw-r--r--@  1 priyangapkini  staff   127 27 Jul 15:55 __init__.py
drwxr-xr-x@ 11 priyangapkini  staff   352 15 Aug 01:21 __pycache__
drwxr-xr-x@ 13 priyangapkini  staff   416 17 Aug 13:48 .
drwxr-xr-x@ 27 priyangapkini  staff   864 19 Aug 18:33 ..
-rw-r--r--@  1 priyangapkini  staff  3742 ]

--- 163 assistant 2026-08-20T08:42:37.976Z ---
[tool_use Bash {'command': 'cd ~/workspace/botmap; cat evals/README.md; echo "=== q counts ==="; grep -c "^- id:\\|^  - id:\\|id:" evals/questions.yaml; grep -c "id:" /Users/priyangapkini/nilenso/ai-playground/autor]

--- 164 user 2026-08-20T08:42:39.835Z ---
[tool_result # Agent-Usability Eval

Measures whether an agent can answer geospatial questions with the Overture
CLI without falling back to `download` and without CLI errors. See the design
spec: `docs/superpowers/specs/2026-05-28-agent-usability-eval-design.md`.

## Run it

```bash
just eval                 # ]

--- 167 assistant 2026-08-20T08:43:01.435Z ---
Everything checks out. Final plan below — then I'll set up and launch.

--- 168 assistant 2026-08-20T08:43:03.539Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; python3 -c "\nfrom autoresearch import config\nconfig.load_env()\nimport os\nfrom autoresearch import credits\nk=os.environ.get]

--- 169 assistant 2026-08-20T08:43:04.591Z ---
[tool_use Bash {'command': 'cd ~/workspace/botmap; du -sh .git; git log --oneline -1; git rev-parse --short HEAD; echo "--- status clean? ---"; git status --porcelain | head; echo "--- 3009509 exists? ---"; git cat-]

--- 170 user 2026-08-20T08:43:06.457Z ---
[tool_result key set: True
granted $1430.00 used $1347.04 REMAINING $82.96]

--- 176 user 2026-08-20T08:43:08.474Z ---
[tool_result 2.0M	.git
3009509 docs: lead README with agent-first Quick Start
3009509
--- status clean? ---
 M .gitignore
?? .claude/
?? node_modules/
?? package-lock.json
?? package.json
--- 3009509 exists? ---
commit
Shell cwd was reset to /Users/priyangapkini/nilenso/ai-playground/autoresearch]

--- 181 assistant 2026-08-20T08:43:32.834Z ---
Balance: **$82.96**. Baseline is cached, so no $15 yardstick charge. Now the isolation setup — there's a second collision beyond the worktree one:

--- 182 assistant 2026-08-20T08:43:34.148Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; echo "=== .gitignore ==="; cat .gitignore; echo "=== is baselines tracked? ==="; git check-ignore -v experiments/baselines/3009]

--- 183 user 2026-08-20T08:43:36.389Z ---
[tool_result === .gitignore ===
.venv/
.env
.env.*
__pycache__/
.pytest_cache/

# Generated by runs
experiments/runs/
experiments/baselines/
experiments/logs/

# Agent scratch space
.pi-subagents/

# Supporting research and the previous TypeScript implementation — kept on
# disk for reference, but not part of wh]

--- 187 assistant 2026-08-20T08:44:13.094Z ---
Two things landed at once — let me fold the feedback in, because it materially changes Arm A.

**How the feedback changes the plan:**

- **Arm A gets a real spec now.** Govind's "structure it as *skills*" is more specific than what I had: **two** skills — one that reads a file set and *proposes*, another that *implements and tests* to verify the gain. Atharva adds the search strategy to bake in: mini-batch the eval cases (running all 30×2 is wasteful), propose 2–3 candidates, score them on an *overlapping subset* to build a Pareto, pick the dominant winner. His point that "GEPA uses significant code scaffolding, but you can get similar results by instructing an agent to apply those strategies" is exactly Arm A's thesis — so Arm A is now a direct test of it.
- **Reward-hacking validation is an assigned next step**, not a nice-to-have ("Priyanga to test sub-agent validation..."). It slots into Arm A cleanly — a sub-agent inspects each candidate and rules on whether it's overfitting to a specific eval. Adding it to the GEPA arms would need scaffolding; in Arm A it's a paragraph of instructions.
- **Arm B vs Arm C is exactly the agreed next step** ("broader repository access versus isolated skill.md improvements"). No change needed — the split already matches.
- **Srihari's "context lens"** is a genuinely fourth idea, and it targets Arm B's file. I'd seed it as a directive in Arm B rather than spawn a fourth run.

**Also found:** `experiments/baselines/` is gitignored (`.gitignore:9`). So a fresh checkout for Arm C would *not* inherit the cached `3009509.json` and would re-measure the baseline — ~1hr and ~$15 wasted. I'll copy it across.

Starting setup now — the clones are slow, so they go first:

--- 188 assistant 2026-08-20T08:44:15.485Z ---
[tool_use Bash {'command': 'set -e\nfor arm in a b c; do\n  d=~/workspace/ar-$arm\n  mkdir -p "$d"\n  if [ ! -d "$d/botmap/.git" ]; then\n    git clone --quiet ~/workspace/botmap "$d/botmap"\n    git -C "$d/botmap" ]

--- 189 user 2026-08-20T08:44:17.851Z ---
[tool_result cloned ar-a at 3009509
cloned ar-b at 3009509
cloned ar-c at 3009509]

--- 199 assistant 2026-08-20T08:44:24.063Z ---
[tool_use Bash {'command': 'cd ~/workspace/ar-a/botmap && uv sync 2>&1 | tail -3', 'description': 'Install deps in Arm A botmap clone', 'run_in_background': True}]

--- 200 user 2026-08-20T08:44:26.257Z ---
[tool_result Command running in background with ID: bg7wapraz. Output is being written to: /private/tmp/claude-501/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4/tasks/bg7wapraz.output. You will be notified when it completes. To check interim output, use Read on that]

--- 201 assistant 2026-08-20T08:44:28.206Z ---
[tool_use Bash {'command': 'set -e\ncd /Users/priyangapkini/nilenso/ai-playground\nWT=/Users/priyangapkini/nilenso/ar-c-autoresearch\nif [ ! -d "$WT" ]; then\n  git worktree add --quiet -b feat/agent-struggle-scorer]

--- 202 user 2026-08-20T08:44:30.364Z ---
[tool_result 3009509.json
env: copied
worktree: /Users/priyangapkini/nilenso/ar-c-autoresearch branch feat/agent-struggle-scorer
Shell cwd was reset to /Users/priyangapkini/nilenso/ai-playground/autoresearch]

--- 206 assistant 2026-08-20T08:44:43.193Z ---
Arm A's skills need runnable commands, so let me check what `evals/runner.py` actually accepts:

--- 207 assistant 2026-08-20T08:44:44.710Z ---
[tool_use Bash {'command': 'cd ~/workspace/ar-a/botmap; grep -n "add_argument\\|def main" evals/runner.py; echo "=== score.py args ==="; grep -n "add_argument\\|def main" evals/score.py; echo "=== synthesize args ==]

--- 208 user 2026-08-20T08:44:46.625Z ---
[tool_result 138:def main() -> None:
140:    p.add_argument("--questions", type=Path, default=DEFAULT_QUESTIONS)
141:    p.add_argument("--repeats", type=int, default=2)
142:    p.add_argument("--model", default="sonnet", help="Model alias passed to `claude -p` (e.g. sonnet, opus).")
143:    p.add_argument("--ru]

--- 211 assistant 2026-08-20T08:44:52.559Z ---
Good — `--questions` and `--runs-dir` make mini-batching and per-candidate isolation possible. Writing Arm A's three skills:

--- 212 assistant 2026-08-20T08:45:18.861Z ---
[tool_use Bash {'command': 'mkdir -p ~/workspace/ar-a/botmap/.claude/skills/autoresearch-loop\ncat > ~/workspace/ar-a/botmap/.claude/skills/autoresearch-loop/SKILL.md <<\'SKILL\'\n---\nname: autoresearch-loop\ndescr]

--- 218 user 2026-08-20T08:45:20.959Z ---
[tool_result written:      134 lines]

--- 221 assistant 2026-08-20T08:45:43.216Z ---
[tool_use Bash {'command': 'mkdir -p ~/workspace/ar-a/botmap/.claude/skills/autoresearch-propose\ncat > ~/workspace/ar-a/botmap/.claude/skills/autoresearch-propose/SKILL.md <<\'SKILL\'\n---\nname: autoresearch-propo]

--- 222 user 2026-08-20T08:45:45.087Z ---
[tool_result propose:       88 lines]

--- 224 assistant 2026-08-20T08:46:08.995Z ---
[tool_use Bash {'command': 'mkdir -p ~/workspace/ar-a/botmap/.claude/skills/autoresearch-verify\ncat > ~/workspace/ar-a/botmap/.claude/skills/autoresearch-verify/SKILL.md <<\'SKILL\'\n---\nname: autoresearch-verify\]

--- 225 user 2026-08-20T08:46:10.902Z ---
[tool_result verify:      114 lines
autoresearch-loop
autoresearch-propose
autoresearch-verify]

--- 228 assistant 2026-08-20T08:46:32.350Z ---
Skills are in place. Now the panes — let me check the layout and Herdr's agent options:

--- 229 assistant 2026-08-20T08:46:32.904Z ---
[tool_use Bash {'command': 'herdr pane layout --pane "$HERDR_PANE_ID" 2>&1 | head -30', 'description': 'Check current pane layout'}]

--- 230 assistant 2026-08-20T08:46:33.471Z ---
[tool_use Bash {'command': 'herdr agent 2>&1 | head -50', 'description': 'Check herdr agent command options'}]

--- 231 user 2026-08-20T08:46:35.514Z ---
[tool_result {"id":"cli:pane:layout","result":{"layout":{"area":{"height":47,"width":163,"x":25,"y":1},"focused_pane_id":"w2:pA","panes":[{"focused":true,"pane_id":"w2:pA","rect":{"height":47,"width":163,"x":25,"y":1}}],"splits":[],"tab_id":"w2:t4","workspace_id":"w2","zoomed":false},"type":"pane_layout"}}]

--- 232 user 2026-08-20T08:46:37.996Z ---
[tool_result herdr agent commands:
  herdr agent list
  herdr agent get <target>
  herdr agent read <target> [--source visible|recent|recent-unwrapped|detection] [--lines N] [--format text|ansi] [--ansi]
  herdr agent send-keys <target> <key> [key ...]
  herdr agent prompt <target> <text> [--wait] [--until STATU]

--- 240 assistant 2026-08-20T08:46:55.240Z ---
Layout is a single 163×47 pane. I'll make a 2×2 grid — my pane top-left, one arm in each of the others:

--- 241 assistant 2026-08-20T08:46:58.724Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch\nAR=/Users/priyangapkini/nilenso/ai-playground/autoresearch\nB=$(herdr pane split --current --direction right --cwd "$AR" --no-f]

--- 242 user 2026-08-20T08:47:00.926Z ---
[tool_result B=w2:p19
C=w2:p1A
D=w2:p1B]

--- 245 assistant 2026-08-20T08:47:07.541Z ---
Now launching three forked Claude sessions — each inherits this full conversation:

--- 246 assistant 2026-08-20T08:47:08.902Z ---
[tool_use Bash {'command': 'herdr agent start arm-a --kind claude --pane w2:p19 --timeout 180000 -- --resume c1b969b9-2854-4487-b27a-158d586ea4c4 --fork-session --add-dir /Users/priyangapkini/workspace/ar-a/botmap 2]

--- 247 assistant 2026-08-20T08:47:10.322Z ---
[tool_use Bash {'command': 'herdr agent start arm-b --kind claude --pane w2:p1A --timeout 180000 -- --resume c1b969b9-2854-4487-b27a-158d586ea4c4 --fork-session --add-dir /Users/priyangapkini/workspace/ar-b/botmap 2]

--- 248 assistant 2026-08-20T08:47:11.315Z ---
[tool_use Bash {'command': 'herdr agent start arm-c --kind claude --pane w2:p1B --timeout 180000 -- --resume c1b969b9-2854-4487-b27a-158d586ea4c4 --fork-session --add-dir /Users/priyangapkini/nilenso/ar-c-autoresear]

--- 249 user 2026-08-20T08:47:14.556Z ---
[tool_result {"id":"cli:agent:start","result":{"agent":{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"212fdc91-5d19-4900-a05c-b1110406e7c5"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/U]

--- 250 user 2026-08-20T08:47:19.439Z ---
[tool_result {"id":"cli:agent:start","result":{"agent":{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"6327f806-6352-4771-ba3b-7da978fd3513"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/U]

--- 251 user 2026-08-20T08:47:25.186Z ---
[tool_result {"id":"cli:agent:start","result":{"agent":{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"a66b8580-be99-4a96-9d15-f1c03c2b78ba"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/U]

--- 254 assistant 2026-08-20T08:47:44.311Z ---
All three forked cleanly (note the inherited title — they have the full history). Now briefing each:

--- 255 assistant 2026-08-20T08:47:55.757Z ---
[tool_use Bash {'command': 'SP=/private/tmp/claude-501/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4/scratchpad\ncat > $SP/prompt-a.txt <<\'EOF\'\nYou are ARM A of the ]

--- 256 user 2026-08-20T08:47:57.857Z ---
[tool_result agent_prompted idle]

--- 264 assistant 2026-08-20T08:48:15.852Z ---
[tool_use Bash {'command': 'SP=/private/tmp/claude-501/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4/scratchpad\ncat > $SP/prompt-b.txt <<\'EOF\'\nYou are ARM B of the ]

--- 265 user 2026-08-20T08:48:17.754Z ---
[tool_result agent_prompted]

--- 267 assistant 2026-08-20T08:48:41.256Z ---
[tool_use Bash {'command': 'SP=/private/tmp/claude-501/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4/scratchpad\ncat > $SP/prompt-c.txt <<\'EOF\'\nYou are ARM C of the ]

--- 268 user 2026-08-20T08:48:44.247Z ---
[tool_result agent_prompted]

--- 270 assistant 2026-08-20T08:48:47.307Z ---
[tool_use Bash {'command': 'herdr agent list 2>&1 | python3 -c \'\nimport sys,json\nd=json.load(sys.stdin)\nfor a in d["result"]["agents"]:\n    print(f\'"\'"\'{a["name"]:8} {a["pane_id"]:8} {a["agent_status"]}\'"\']

--- 271 user 2026-08-20T08:48:49.347Z ---
[tool_result {"id":"cli:agent:list","result":{"agents":[{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"c1b969b9-2854-4487-b27a-158d586ea4c4"},"agent_status":"working","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":true,"foreground_cwd":]

--- 274 assistant 2026-08-20T08:48:57.084Z ---
All three panes are live and working. Let me record the two things that would be expensive to rediscover:

--- 275 assistant 2026-08-20T08:48:58.256Z ---
[tool_use Bash {'command': 'M=/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory\nls $M 2>/dev/null; echo "--- MEMORY.md ---"; cat $M/MEMORY.md 2>/dev/null || echo "]

--- 276 user 2026-08-20T08:48:58.347Z ---
[tool_result --- MEMORY.md ---
(none yet)]

--- 278 assistant 2026-08-20T08:49:21.430Z ---
[tool_use Bash {'command': 'M=/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory\ncat > $M/parallel-runs-need-separate-botmap-repo.md <<\'EOF\'\n---\nname: parallel-]

--- 279 user 2026-08-20T08:49:23.290Z ---
[tool_result Exit code 1
(eval):2: no such file or directory: /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/parallel-runs-need-separate-botmap-repo.md
(eval):33: no such file or directory: /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai]

--- 287 assistant 2026-08-20T08:49:42.018Z ---
[tool_use Bash {'command': 'M=/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory\nmkdir -p $M\ncat > $M/parallel-runs-need-separate-botmap-repo.md <<\'EOF\'\n---\nna]

--- 288 user 2026-08-20T08:49:44.443Z ---
[tool_result autoresearch-three-arm-experiment.md
MEMORY.md
parallel-runs-need-separate-botmap-repo.md]

--- 290 assistant 2026-08-20T08:50:02.376Z ---
All three arms are running. Here's where things stand.

## What's live

| Pane | Arm | What it's doing | Isolation |
|---|---|---|---|
| `w2:p19` | **A** | Runs the loop *as a skill* — no GEPA. Three skills written for it: orchestrator, propose, verify. | `~/workspace/ar-a/botmap` |
| `w2:p1A` | **B** | `--lever prompt --budget 60` — clean A/B vs `tool-3009509` | `BOTMAP_REPO=~/workspace/ar-b/botmap` |
| `w2:p1B` | **C** | Full-repo context into `background=` + new agent-struggle scorer, then `--lever tool --budget 60` | worktree `~/nilenso/ar-c-autoresearch` on `feat/agent-struggle-scorer`, `BOTMAP_REPO=~/workspace/ar-c/botmap` |

Each pane is a Claude session forked from this one, so they inherit the whole planning discussion including your colleagues' feedback.

## Two collisions I had to design around

**Worktree paths.** `worktree.py:47` builds its private copy at `{BOTMAP_REPO}/../botmap-oa-{sha}-0` — same path for every run at the same commit — and `_create` *destroys* an existing one. Three concurrent runs would have deleted each other's worktrees mid-flight. Fixed with three separate botmap clones, all pinned at `3009509` so the cached baseline still applies and the arms stay comparable. No code change needed.

**Shared harness code.** Arm C edits `score.py` and `config.py`, which Arm B is running from. Arm C got a git worktree so it can't touch Arm B's copy. `experiments/baselines/` is gitignored, so I copied the cached `3009509.json` and `.env` across — otherwise Arm C would have re-measured the baseline for ~1hr and ~$15.

## How the feedback shaped it

Govind's "structure it as skills" became three files rather than one — `autoresearch-propose` reads evidence and returns 2–3 competing candidates, `autoresearch-verify` implements and tests them. Atharva's strategy is baked into verify: mini-batch screening (`evals/runner.py` takes `--questions`, so subsets work), the same mini-batch for every candidate in a round, full-suite confirmation only for a final

--- 294 user 2026-08-21T11:18:52.866Z ---
/compact

--- 301 user 2026-08-21T11:20:46.669Z ---
This session is being continued from a previous conversation that ran out of context. The summary below covers the earlier portion of the conversation.

Summary:
1. **Primary Request and Intent:**

   The user is working on the `autoresearch` project (at `/Users/priyangapkini/nilenso/ai-playground/autoresearch`), a GEPA-based optimization harness that rewrites the `botmap` CLI to make it easier for AI agents to drive. Their requests evolved across the conversation:

   - **Initial:** Gather context from the previous run at `experiments/runs/tool-3009509-1787049966` and from prior sessions in the `~/workspace/botmap` project, then continue the experiment.
   - **Second:** "I want to run 3 different versions of autoresearch loop parallelly. can you spin off of 3 panes with claude forked from this conversation so it has all past history."
   - **Third (the defining pivot):** The user rejected my suggested variants and specified **three new ideas of their own**:
     1. **Arm A** — Write a `skill.md` containing all instructions to run an autoresearch loop. The skill spins up an agent that runs the loop on its own and tries to achieve the goal "without me writing the code first" — i.e., no GEPA code.
     2. **Arm B** — Take botmap's `skill.md` and optimize just that one file, and see how the tool improves. (The user began to suggest feeding `proposals.json` as input, then explicitly retracted it.)
     3. **Arm C** — Give GEPA **more context on the repo** (full repo context) instead of optimizing one file per run. Reframe the optimization goal as **optimizing the agent interface / reducing agent struggle**, meaning reducing agent failures: better error recovery, more context for the agent, reducing the number of turns, reducing wasteful commands, optimizing the path to the correct command, transparent feedback loops to prevent silent failures, and better guidance on using the CLI through skill or CLI help.
   - The user asked to **first create a plan**, identify missing

--- 302 user 2026-08-21T11:18:52.875Z ---
<local-command-caveat>Caveat: The messages below were generated by the user while running local commands. DO NOT respond to these messages or otherwise consider them in your response unless the user explicitly asks you to.</local-command-caveat>

--- 303 user 2026-08-21T11:18:52.875Z ---
<command-name>/compact</command-name>
            <command-message>compact</command-message>
            <command-args></command-args>

--- 304 user 2026-08-21T11:20:47.638Z ---
<local-command-stdout>[2mCompacted (ctrl+o to see full summary)[22m</local-command-stdout>

--- 317 user 2026-08-21T11:47:33.138Z ---
Lets continue on the plan?

--- 320 assistant 2026-08-21T11:47:38.129Z ---
[tool_use Bash {'command': 'herdr agent list 2>&1 | head -60', 'description': 'List running herdr agents'}]

--- 321 assistant 2026-08-21T11:47:39.634Z ---
[tool_use Bash {'command': 'ls -la /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/runs/ 2>&1; echo "---AR-C---"; ls -la /Users/priyangapkini/nilenso/ar-c-autoresearch/experiments/runs/ 2>&1 | ta]

--- 322 user 2026-08-21T11:47:42.228Z ---
[tool_result {"id":"cli:agent:list","result":{"agents":[{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"c1b969b9-2854-4487-b27a-158d586ea4c4"},"agent_status":"working","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":true,"foreground_cwd":]

--- 323 user 2026-08-21T11:47:44.063Z ---
[tool_result total 0
drwxr-xr-x@  9 priyangapkini  staff  288 21 Aug 02:52 .
drwxr-xr-x@ 12 priyangapkini  staff  384 21 Aug 16:40 ..
drwxr-xr-x@  3 priyangapkini  staff   96 20 Aug 23:59 baseline-noise-run1-3009509
drwxr-xr-x@  4 priyangapkini  staff  128 21 Aug 03:03 calibration-3009509
drwxr-xr-x@  4 priyanga]

--- 326 assistant 2026-08-21T11:47:49.977Z ---
[tool_use Bash {'command': 'herdr agent read arm-a --source recent-unwrapped --lines 150 2>&1 | tail -120', 'description': 'Read arm-a recent output'}]

--- 327 assistant 2026-08-21T11:47:50.682Z ---
[tool_use Bash {'command': 'herdr agent read arm-b --source recent-unwrapped --lines 150 2>&1 | tail -120', 'description': 'Read arm-b recent output'}]

--- 328 assistant 2026-08-21T11:47:51.190Z ---
[tool_use Bash {'command': 'herdr agent read arm-c --source recent-unwrapped --lines 150 2>&1 | tail -120', 'description': 'Read arm-c recent output'}]

--- 329 user 2026-08-21T11:47:56.864Z ---
[tool_result   WHAT I NEED FROM YOU, and this is the only task:


  Write a short handover. Not a report — a handover. Priyanga is going to decide what happens next and needs to see the real state, not a summary of intentions. Cover exactly these four things:

  1. DONE AND VERIFIED. What have you actually chang]

--- 335 user 2026-08-21T11:48:04.107Z ---
[tool_result ⏺ Calibration had already completed before the kill — 5/5, $0.1942 per question. Zero processes spending now.

  Checking working-tree state:


  Ran 1 shell command

⏺ Nothing of mine was committed — all my work is uncommitted. Note autoresearch/experiments/failure_dataset.yaml and autoresearch/doc]

--- 341 user 2026-08-21T11:48:11.093Z ---
[tool_result   3. OPEN QUESTIONS YOU CANNOT ANSWER ALONE. What decisions is your work blocked on that need a human? Phrase each as a question with the options you can see, not as a recommendation. Priyanga wants to decide,
  not to ratify.
  4. WHAT WOULD BREAK if someone resumed you cold in a week. Stale assump]

--- 348 assistant 2026-08-21T11:48:19.161Z ---
All three arms have run, paused, and written handovers. Let me read the durable state.

--- 349 assistant 2026-08-21T11:48:20.591Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments && for f in arm-a arm-b arm-c; do echo "=============== $f ==============="; wc -l $f/HANDOVER.md; done 2>&1', 'desc]

--- 350 assistant 2026-08-21T11:48:21.635Z ---
[tool_use Bash {'command': 'git log --oneline -8 2>&1; echo "--- STATUS ---"; git status --short 2>&1 | head -30', 'description': 'Check git state of main checkout'}]

--- 351 user 2026-08-21T11:48:22.356Z ---
[tool_result =============== arm-a ===============
     150 arm-a/HANDOVER.md
=============== arm-b ===============
     105 arm-b/HANDOVER.md
=============== arm-c ===============
     111 arm-c/HANDOVER.md]

--- 352 user 2026-08-21T11:48:22.468Z ---
[tool_result e005816 Add. the case study source, which lived only in a temp scratchpad
52a33f3 Add. three arm handovers, written before compaction
57cd1c8 Add. the live experiment dashboard
c7b6449 Add. arm A's findings, which were excluded from the tool's repo
5bd6ae0 Update. record why the run payloads stay on]

--- 354 assistant 2026-08-21T11:48:29.492Z ---
[tool_use Bash {'command': 'ls -la ~/.claude/skills/ 2>&1 | head; echo "--- DISABLED? ---"; ls -la ~/.claude/botmap-skill-DISABLED-BY-ARM-A 2>&1 | head -5', 'description': 'Check whether global botmap skill is still]

--- 355 assistant 2026-08-21T11:48:30.929Z ---
[tool_use Bash {'command': "cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && sed -n '1,60p' experiments/arm-c/HANDOVER.md 2>&1", 'description': 'Read arm-c handover head'}]

--- 356 user 2026-08-21T11:48:31.038Z ---
[tool_result # Arm C — handover

Branch `feat/agent-struggle-scorer`, worktree `/Users/priyangapkini/nilenso/ar-c-autoresearch`.
15 commits, **none merged into `feat/autoresearch`**. 145 tests pass. Tree clean —
nothing stashed, no WIP commit. No quota spent at any point.

Arm C owns: `taxonomy.py`, `score.py`, ]

--- 357 user 2026-08-21T11:48:31.677Z ---
[tool_result total 0
drwxr-xr-x@ 51 priyangapkini  staff  1632 21 Aug 01:03 .
drwxr-xr-x@ 35 priyangapkini  staff  1120 21 Aug 17:17 ..
lrwxr-xr-x@  1 priyangapkini  staff    29 12 Jul 21:17 ask-matt -> ../../.agents/skills/ask-matt
lrwxr-xr-x@  1 priyangapkini  staff    31 22 Jul 11:50 ask-skills -> ../../.agen]

--- 359 assistant 2026-08-21T11:48:59.754Z ---
[tool_use Bash {'command': "cd /Users/priyangapkini/nilenso/ar-c-autoresearch && sed -n '1,45p' experiments/NOISE-FLOOR-FINDING.md 2>&1", 'description': 'Read the noise floor finding'}]

--- 360 assistant 2026-08-21T11:49:00.868Z ---
[tool_use Bash {'command': 'source .env 2>/dev/null; curl -s -m 20 https://openrouter.ai/api/v1/credits -H "Authorization: Bearer $OPENROUTER_API_KEY" 2>&1 | head -5', 'description': 'Check OpenRouter credit balance]

--- 361 user 2026-08-21T11:49:02.321Z ---
[tool_result Exit code 1
sed: experiments/NOISE-FLOOR-FINDING.md: No such file or directory]

--- 367 user 2026-08-21T11:49:04.703Z ---
[tool_result {"data":{"total_credits":1430,"total_usage":1347.871945012}}]

--- 369 assistant 2026-08-21T11:49:09.131Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ar-c-autoresearch && find . -iname "*NOISE*" -not -path "./.git/*" 2>&1; echo "--- branch ---"; git branch --show-current; git log --oneline -3', 'descript]

--- 370 user 2026-08-21T11:49:11.441Z ---
[tool_result ./autoresearch/autoresearch/noise_floor.py
./autoresearch/experiments/NOISE-FLOOR-FINDING.md
./autoresearch/tests/test_noise_floor.py
./autoresearch/autoresearch/__pycache__/noise_floor.cpython-311.pyc
./autoresearch/tests/__pycache__/test_noise_floor.cpython-311.pyc
./autoresearch/tests/__pycache__]

--- 371 assistant 2026-08-21T11:49:15.662Z ---
[tool_use Bash {'command': "sed -n '1,50p' /Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/experiments/NOISE-FLOOR-FINDING.md 2>&1", 'description': 'Read noise floor finding'}]

--- 372 user 2026-08-21T11:49:18.210Z ---
[tool_result # The exam cannot detect the thing it was built to detect

Measured 2026-08-21 from the shared baseline `3009509.json` (release
2026-08-19.0) and the 60 retained attempts of `baseline-noise-run1-3009509`.
Pure analysis of an existing measurement: no quota spent, nothing re-run.

## The finding, in o]

--- 374 assistant 2026-08-21T11:49:43.855Z ---
[tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch && git show 7fc43f4 --stat 2>&1 | head -20; echo "=== DIFF ==="; git show 7fc43f4 2>&1 | grep -A6 -B6 "^[+-]" | head -60', ']

--- 375 user 2026-08-21T11:49:46.731Z ---
[tool_result commit 7fc43f48bb776b66ac9fa56a5f414d7c2673d886
Author: PriyangaPKini <[REDACTED]>
Date:   Fri Aug 21 00:50:21 2026 +0530

    Fix. the score pointed at deleting the tool's own diagnostics
    
    Found by arm A. Its candidate C1 adds a near-match hint where the tool used to
    retu]

--- 377 assistant 2026-08-21T11:50:24.388Z ---
All three arms finished, paused, and wrote handovers (committed at `52a33f3`). Here's the real state — it's not what the plan expected.

## None of the three GEPA runs happened

OpenRouter is at **$82.13**, down $0.83 from $82.96. That's the tell: no optimization run was ever funded. All three arms spent their entire budget on the *measuring instrument* and found it broken. About $145 of subscription tokens went into that.

That sounds like failure. I don't think it is — they found two things that would have silently wasted every dollar of the runs.

## Finding 1: the scorer was rewarding the tool for hiding its own errors

Arm A built a candidate (C1) that adds a "did you mean `bus_station`?" hint where botmap used to return an unexplained zero. Arm C measured what the scorer did with it — three versions of the same wrong-value command:

| tool behaviour | score |
|---|---|
| silent, no stderr at all | **0.9000** |
| names the bad field, no hint | 0.6538 |
| names it *and* suggests the fix (C1) | 0.6538 |

The silent failure — the exact thing the struggle term exists to punish — scored **highest**. `taxonomy.py` filed "exit 0 + `did you mean:`" as `bad_category_value`, so making the tool more helpful turned a clean call into a scored error.

Point GEPA at that and it learns to delete diagnostics. That's an inverted gradient, and it's fixed only on Arm C's branch (`7fc43f4`) — the shared checkout still has it.

## Finding 2: the exam can't detect improvement even when it works

Arm C ran the numbers on the retained baseline attempts:

```
within-run noise floor (lower bound)   0.117
total achievable headroom              0.039   → noise is 3× the prize
correctness ceiling                    0.0195
silent sub-term                        fired 0/58, headroom 0.0000
```

21 of 30 questions already score perfectly. A candidate that scored *flawlessly* would gain 0.039 on an objective that wobbles 0.117 between identical repeats. Arm B reached the same conclusion indepen

--- 378 assistant 2026-08-21T11:50:36.595Z ---
[tool_use AskUserQuestion {'questions': [{'question': 'Given noise is 3× the available prize, where should the next effort go?', 'header': 'Next step', 'multiSelect': False, 'options': [{'label': 'Fix the exam first (Recommend]

--- 384 user 2026-08-21T11:50:56.873Z ---
[tool_result The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed.]

--- 385 user 2026-08-21T11:50:56.874Z ---
[Request interrupted by user for tool use]

--- 388 user 2026-08-21T11:51:13.930Z ---
Here is the plan context-lens claude --resume c1b969b9-2854-4487-b27a-158d586ea4c4

--- 390 user 2026-08-21T11:51:35.963Z ---
Here is the plan /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md

--- 392 assistant 2026-08-21T11:51:39.150Z ---
[tool_use Bash {'command': 'wc -l /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md; echo "==="; cat /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md', 'description': 'Read the]

--- 393 user 2026-08-21T11:51:39.293Z ---
[tool_result      690 /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md
===
# Plan — agent failure taxonomy and the new evaluator

Status: **agreed, not yet built.** All three arms paused. This supersedes the
fix plan I issued on 2026-08-21 morning.

---

## 0. The question

> **What makes a C]

--- 405 user 2026-08-21T11:54:56.753Z ---
This session is being continued from a previous conversation that ran out of context. The summary below covers the earlier portion of the conversation.

Summary:
1. **Primary Request and Intent:**

   The user is running a three-arm parallel experiment on the `autoresearch` project (`/Users/priyangapkini/nilenso/ai-playground/autoresearch`, branch `feat/autoresearch`) — a GEPA-based optimization harness that rewrites the `botmap` CLI to make it easier for AI agents to drive.

   **Carried forward from the pre-compaction portion** — the user specified three arms of their own design (explicitly rejecting my earlier suggestions with "None of your earlier suggested options is what I want to try"):
   - **Arm A** — a `skill.md` containing all instructions to run an autoresearch loop; the skill spins up an agent that runs the loop itself, achieving the goal "without me writing the code first" (no GEPA code). Uses the existing botmap evals and `questions.yaml`.
   - **Arm B** — take botmap's `skill.md` and optimize just that one file, and see how the tool improves.
   - **Arm C** — give GEPA more context on the repo (full repo context) instead of one file per run, and reframe the objective as *optimizing the agent interface / reducing agent struggle*: better error recovery, more context for the agent, fewer turns, fewer wasteful commands, optimized path to the correct command, transparent feedback loops preventing silent failures, better CLI/skill guidance. The user chose "Both, as you described" (context change AND objective change) and asked for all four struggle metrics to be scored: silent failures (heaviest), turns + command count, wasted commands before first success, error-recovery rate. Budget: 60 evaluations each.

   **In this session:** after `/compact`, the user asked **"Lets continue on the plan?"**. I investigated arm state and produced a status report, then attempted an `AskUserQuestion` with three decision forks. **The user rejected that tool call, interrup

--- 417 assistant 2026-08-21T11:57:52.826Z ---
API Error: Connection refused — a firewall or proxy may be blocking it (ConnectionRefused)

--- 420 user 2026-08-21T12:17:47.401Z ---
Here is the plan /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md

--- 421 assistant 2026-08-21T12:20:45.420Z ---
API Error: Connection refused — a firewall or proxy may be blocking it (ConnectionRefused)

[Showing lines 152-982 of 982 (50.0KB limit). Full output: /var/folders/2g/85d5_sh17wdf0fm5yw5k3gs80000gn/T/pi-bash-a79a3b69db89fe0c.log]

>test "${HERDR_ENV:-}" = 1 && echo HERDR=1 || echo HERDR=0; env | grep '^HERDR' || true

HERDR=1
HERDR_ENV=1
HERDR_TAB_ID=w2:t19
HERDR_SOCKET_PATH=/Users/priyangapkini/.config/herdr/herdr.sock
HERDR_WORKSPACE_ID=w2
HERDR_PANE_ID=w2:p1J

>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && find experiments -maxdepth 3 -name HANDOVER.md -print -exec wc -l {} \; 2>/dev/null

experiments/arm-a/HANDOVER.md
     150 experiments/arm-a/HANDOVER.md
experiments/arm-c/HANDOVER.md
     111 experiments/arm-c/HANDOVER.md
experiments/arm-b/HANDOVER.md
     105 experiments/arm-b/HANDOVER.md

>cd /Users/priyangapkini/nilenso/ai-playground && git status --short && git branch --show-current

D editing-in-progress/.gitignore
 D editing-in-progress/README.md
 D editing-in-progress/config.example.toml
 D editing-in-progress/deno.json
 D editing-in-progress/deno.lock
 D editing-in-progress/native/LICENSE.webui
 D editing-in-progress/native/README.md
 D editing-in-progress/native/aarch64-apple-darwin/libwebui-2.dylib
 D editing-in-progress/native/aarch64-unknown-linux-gnu/libwebui-2.so
 D editing-in-progress/native/x86_64-apple-darwin/libwebui-2.dylib
 D editing-in-progress/native/x86_64-unknown-linux-gnu/libwebui-2.so
 D editing-in-progress/scripts/build_app.ts
 D editing-in-progress/scripts/build_ui.ts
 D editing-in-progress/scripts/check_webui.ts
 D editing-in-progress/server/app/api.ts
 D editing-in-progress/server/app/api_test.ts
 D editing-in-progress/server/app/local_app.ts
 D editing-in-progress/server/app/local_app_test.ts
 D editing-in-progress/server/app/local_document.ts
 D editing-in-progress/server/app/local_document_test.ts
 D editing-in-progress/server/app/persistence.ts
 D editing-in-progress/server/app/persistence_test.ts
 D editing-in-progress/server/cli.ts
 D editing-in-progress/server/cli_test.ts
 D editing-in-progress/server/config_file.ts
 D editing-in-progress/server/config_file_test.ts
 D editing-in-progress/server/core/config.ts
 D editing-in-progress/server/core/config_test.ts
 D editing-in-progress/server/core/protocol.ts
 D editing-in-progress/server/core/protocol_test.ts
 D editing-in-progress/server/core/scram.ts
 D editing-in-progress/server/core/scram_test.ts
 D editing-in-progress/server/core/uuid.ts
 D editing-in-progress/server/core/uuid_test.ts
 D editing-in-progress/server/http/mod.ts
 D editing-in-progress/server/http/mod_test.ts
 D editing-in-progress/server/log.ts
 D editing-in-progress/server/main.ts
 D editing-in-progress/server/main_test.ts
 D editing-in-progress/server/network/client.ts
 D editing-in-progress/server/network/client_test.ts
 D editing-in-progress/server/network/coordinator.ts
 D editing-in-progress/server/network/network_e2e_test.ts
 D editing-in-progress/server/state/room.ts
 D editing-in-progress/server/state/room_test.ts
 D editing-in-progress/server/state/storage.ts
 D editing-in-progress/server/state/storage_test.ts
 D editing-in-progress/server/window.ts
 D editing-in-progress/server/window_test.ts
 D editing-in-progress/ui/index.html
 D editing-in-progress/ui/src/automerge_doc.ts
 D editing-in-progress/ui/src/automerge_doc_test.ts
 D editing-in-progress/ui/src/bridge.ts
 D editing-in-progress/ui/src/bridge_test.ts
 D editing-in-progress/ui/src/index.tsx
 D editing-in-progress/ui/src/state.ts
 D editing-in-progress/ui/src/state_test.ts
 D editing-in-progress/ui/src/style.css
 D editing-in-progress/ui/src/test_support.ts
 D editing-in-progress/vendor/deno-webui/LICENSE
 D editing-in-progress/vendor/deno-webui/deno.json
 D editing-in-progress/vendor/deno-webui/deps.ts
 D editing-in-progress/vendor/deno-webui/mod.ts
 D editing-in-progress/vendor/deno-webui/src/lib.ts
 D editing-in-progress/vendor/deno-webui/src/types.ts
 D editing-in-progress/vendor/deno-webui/src/utils.ts
 D editing-in-progress/vendor/deno-webui/src/webui.ts
?? .DS_Store
?? .claude/worktrees/
?? .idea/
?? .vscode/
?? autoresearch/tools/dashboard/lever-history
feat/autoresearch

>herdr agent list 2>&1 | python3 - <<'PY'
import sys,json
try:
    d=json.load(sys.stdin)
except Exception as e:
    print(sys.stdin.read()[:1000]); raise
for a in d.get('result',{}).get('agents',[]):
    print(f"{a.get('name','?'):10} pane={a.get('pane_id')} status={a.get('agent_status')} session={a.get('agent_session',{}).get('value')} cwd={a.get('cwd')} focused={a.get('focused')}")
PY

Traceback (most recent call last):
  File "<stdin>", line 3, in <module>
  File "/opt/homebrew/Cellar/python@3.14/3.14.7/Frameworks/Python.framework/Versions/3.14/lib/python3.14/json/__init__.py", line 298, in load
    return loads(fp.read(),
        cls=cls, object_hook=object_hook,
        parse_float=parse_float, parse_int=parse_int,
        parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
  File "/opt/homebrew/Cellar/python@3.14/3.14.7/Frameworks/Python.framework/Versions/3.14/lib/python3.14/json/__init__.py", line 352, in loads
    return _default_decoder.decode(s)
           ~~~~~~~~~~~~~~~~~~~~~~~^^^
  File "/opt/homebrew/Cellar/python@3.14/3.14.7/Frameworks/Python.framework/Versions/3.14/lib/python3.14/json/decoder.py", line 345, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/homebrew/Cellar/python@3.14/3.14.7/Frameworks/Python.framework/Versions/3.14/lib/python3.14/json/decoder.py", line 363, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)


Command exited with code 1

>herdr agent list 2>&1 | head -200

{"id":"cli:agent:list","result":{"agents":[{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"c1b969b9-2854-4487-b27a-158d586ea4c4"},"agent_status":"done","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","pane_id":"w2:pA","revision":7438,"state_change_seq":400,"tab_id":"w2:t4","terminal_id":"term_65975f3ef59121","terminal_title":"✳ Autoresearch experiment continuation","terminal_title_stripped":"Autoresearch experiment continuation","workspace_id":"w2"},{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"212fdc91-5d19-4900-a05c-b1110406e7c5"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","interactive_ready":true,"name":"arm-a","pane_id":"w2:p19","revision":5086,"state_change_seq":370,"tab_id":"w2:t14","terminal_id":"term_659769037cc0c3","terminal_title":"✳ arm-a","terminal_title_stripped":"arm-a","workspace_id":"w2"},{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"6327f806-6352-4771-ba3b-7da978fd3513"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","interactive_ready":true,"name":"arm-b","pane_id":"w2:p1A","revision":4860,"state_change_seq":366,"tab_id":"w2:t15","terminal_id":"term_659769038351a4","terminal_title":"✳ arm-b","terminal_title_stripped":"arm-b","workspace_id":"w2"},{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"a66b8580-be99-4a96-9d15-f1c03c2b78ba"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","interactive_ready":true,"name":"arm-c","pane_id":"w2:p1B","revision":4353,"state_change_seq":367,"tab_id":"w2:t16","terminal_id":"term_6597690389ad65","terminal_title":"✳ arm-c","terminal_title_stripped":"arm-c","workspace_id":"w2"},{"agent":"pi","agent_session":{"agent":"pi","kind":"path","source":"herdr:pi","value":"/Users/priyangapkini/.pi/agent/sessions/--Users-priyangapkini-nilenso-ai-playground-autoresearch--/2026-08-21T12-18-57-229Z_01a02442-904d-7cb4-b665-11e8dc367b14.jsonl"},"agent_status":"working","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":true,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","pane_id":"w2:p1J","revision":11,"screen_detection_skipped":true,"state_change_seq":399,"tab_id":"w2:t19","terminal_id":"term_6598c61ca06e3c","terminal_title":"π - autoresearch","terminal_title_stripped":"π - autoresearch","workspace_id":"w2"}],"type":"agent_list"}}

I found the context.

Main Claude session: c1b969b9-2854-4487-b27a-158d586ea4c4
Existing panes:
- arm-a session 212fdc91... — idle
- arm-b session 6327f806... — idle
- arm-c session a66b8580... — idle
- old orchestrator session is done
Durable handovers read:
- experiments/arm-a/HANDOVER.md
- experiments/arm-b/HANDOVER.md
- experiments/arm-c/HANDOVER.md
Current superseding plan read:
- docs/plan.md
Important memory found:
- decisions are yours; I should bring choices back, not decide
- parallel runs need separate BOTMAP_REPO
- global ~/.claude/skills/botmap is still disabled by Arm A

Before I resume, I need these clarifications:

Role: Should I resume as the orchestrator/reader only, coordinating arms and asking decisions, or should I also implement the first blocking changes myself?
Arms: Since Claude subscription ran out, should I:
- keep the old Claude panes as read-only historical context, and proceed in this Pi session, or
- try to re-prompt the existing arm-a/b/c panes anyway, or
- replace them with Pi subagents/new workers?
First work item: Do you want to follow docs/plan.md exactly, starting with:
- Phase 0a: add --setting-sources project in runner.py, then
- Phase 1: agenteval/contract.py, or should I only reconstruct/report state first?
Git/worktree: Current repo has unrelated dirty deletions under editing-in-progress/. Can I ignore those and work only under autoresearch/, or should I stop until the worktree is cleaned?
Global botmap skill: Should it stay disabled for experiment isolation, or should I restore it now for your normal Claude use?

your role as an orchestrator so the common first blocking changes you can do in your Pi sessions since a subscription ran out I want to use you to use proceed in proceed with pi agents you know spin up three pie agents for on A and B and Rave all the context that was there necessary for it to kickstart so the autoresearch loop loop require you to run cloud in interactive mode which you can use open router subscription so I have the API key in.env so you should be able to access the open router the same cloud patents are specified so use the thing for it and so the experiment itself is based on cloud interactive mode that will remain the same yeah I want you to follow the plan exactly let me know what is the editing in progress dirty changes like we'll review that first and we'll decide what to do with it so for the board map for the arm A should be using a skill it should have access to board map skill which is part of the tool in some way there was a reason why it was disabled try to find out that reason and try to get all the context related to it

Executable agents:
- context-builder (builtin): Analyzes requirements and codebase, generates context and meta-prompt
- delegate (builtin): Lightweight subagent that inherits the parent model with no default reads
- oracle (builtin, context: fork): High-context decision-consistency oracle that protects inherited state and prevents drift
- planner (builtin, context: fork): Creates implementation plans from context and requirements
- researcher (builtin): Autonomous web researcher — searches, evaluates, and synthesizes a focused research brief
- reviewer (builtin): Versatile review specialist for code diffs, plans, proposed solutions, codebase health, and PR/issue validation
- scout (builtin): Fast codebase recon that returns compressed context for handoff
- worker (builtin, context: fork): Implementation agent for normal tasks and approved oracle handoffs

Chains:
- (none)

>cd /Users/priyangapkini/nilenso/ai-playground && git status --short --untracked-files=all | sed -n '1,140p' && echo '--- deleted editing-in-progress count ---' && git status --short --untracked-files=all | grep '^ D editing-in-progress/' | wc -l && echo '--- tracked editing-in-progress tree exists? ---' && ls -ld editing-in-progress 2>&1 || true && find editing-in-progress -maxdepth 2 -type f 2>/dev/null | head -30

D editing-in-progress/.gitignore
 D editing-in-progress/README.md
 D editing-in-progress/config.example.toml
 D editing-in-progress/deno.json
 D editing-in-progress/deno.lock
 D editing-in-progress/native/LICENSE.webui
 D editing-in-progress/native/README.md
 D editing-in-progress/native/aarch64-apple-darwin/libwebui-2.dylib
 D editing-in-progress/native/aarch64-unknown-linux-gnu/libwebui-2.so
 D editing-in-progress/native/x86_64-apple-darwin/libwebui-2.dylib
 D editing-in-progress/native/x86_64-unknown-linux-gnu/libwebui-2.so
 D editing-in-progress/scripts/build_app.ts
 D editing-in-progress/scripts/build_ui.ts
 D editing-in-progress/scripts/check_webui.ts
 D editing-in-progress/server/app/api.ts
 D editing-in-progress/server/app/api_test.ts
 D editing-in-progress/server/app/local_app.ts
 D editing-in-progress/server/app/local_app_test.ts
 D editing-in-progress/server/app/local_document.ts
 D editing-in-progress/server/app/local_document_test.ts
 D editing-in-progress/server/app/persistence.ts
 D editing-in-progress/server/app/persistence_test.ts
 D editing-in-progress/server/cli.ts
 D editing-in-progress/server/cli_test.ts
 D editing-in-progress/server/config_file.ts
 D editing-in-progress/server/config_file_test.ts
 D editing-in-progress/server/core/config.ts
 D editing-in-progress/server/core/config_test.ts
 D editing-in-progress/server/core/protocol.ts
 D editing-in-progress/server/core/protocol_test.ts
 D editing-in-progress/server/core/scram.ts
 D editing-in-progress/server/core/scram_test.ts
 D editing-in-progress/server/core/uuid.ts
 D editing-in-progress/server/core/uuid_test.ts
 D editing-in-progress/server/http/mod.ts
 D editing-in-progress/server/http/mod_test.ts
 D editing-in-progress/server/log.ts
 D editing-in-progress/server/main.ts
 D editing-in-progress/server/main_test.ts
 D editing-in-progress/server/network/client.ts
 D editing-in-progress/server/network/client_test.ts
 D editing-in-progress/server/network/coordinator.ts
 D editing-in-progress/server/network/network_e2e_test.ts
 D editing-in-progress/server/state/room.ts
 D editing-in-progress/server/state/room_test.ts
 D editing-in-progress/server/state/storage.ts
 D editing-in-progress/server/state/storage_test.ts
 D editing-in-progress/server/window.ts
 D editing-in-progress/server/window_test.ts
 D editing-in-progress/ui/index.html
 D editing-in-progress/ui/src/automerge_doc.ts
 D editing-in-progress/ui/src/automerge_doc_test.ts
 D editing-in-progress/ui/src/bridge.ts
 D editing-in-progress/ui/src/bridge_test.ts
 D editing-in-progress/ui/src/index.tsx
 D editing-in-progress/ui/src/state.ts
 D editing-in-progress/ui/src/state_test.ts
 D editing-in-progress/ui/src/style.css
 D editing-in-progress/ui/src/test_support.ts
 D editing-in-progress/vendor/deno-webui/LICENSE
 D editing-in-progress/vendor/deno-webui/deno.json
 D editing-in-progress/vendor/deno-webui/deps.ts
 D editing-in-progress/vendor/deno-webui/mod.ts
 D editing-in-progress/vendor/deno-webui/src/lib.ts
 D editing-in-progress/vendor/deno-webui/src/types.ts
 D editing-in-progress/vendor/deno-webui/src/utils.ts
 D editing-in-progress/vendor/deno-webui/src/webui.ts
?? .DS_Store
?? .claude/worktrees/autoresearch-prompt/
?? .idea/.gitignore
?? .idea/.name
?? .idea/ai-playground.iml
?? .idea/autoresearch.iml
?? .idea/dictionaries/project.xml
?? .idea/inspectionProfiles/profiles_settings.xml
?? .idea/modules.xml
?? .idea/sift.iml
?? .idea/vcs.xml
?? .vscode/settings.json
?? autoresearch/tools/dashboard/lever-history
--- deleted editing-in-progress count ---
      67
--- tracked editing-in-progress tree exists? ---
ls: editing-in-progress: No such file or directory

>set -e
printf '%s\n' '--- disabled botmap skill ---'
ls -la ~/.claude/botmap-skill-DISABLED-BY-ARM-A 2>&1 || true
printf '%s\n' '--- breadcrumb ---'
find ~/.claude/botmap-skill-DISABLED-BY-ARM-A -maxdepth 2 -type f -print 2>/dev/null | sed -n '1,20p'
printf '%s\n' '--- WHY ---'
cat ~/.claude/botmap-skill-DISABLED-BY-ARM-A/WHY-MOVED.txt 2>/dev/null || true
printf '%s\n' '--- active botmap skill? ---'
ls -la ~/.claude/skills/botmap 2>&1 || true
printf '%s\n' '--- ar-a project skills ---'
find ~/workspace/ar-a/botmap/.claude/skills -maxdepth 2 -type f -name SKILL.md -print 2>/dev/null

--- disabled botmap skill ---
total 32
drwxr-xr-x@  4 priyangapkini  staff    128 20 Aug 17:52 .
drwxr-xr-x@ 33 priyangapkini  staff   1056 21 Aug 17:48 ..
-rw-r--r--@  1 priyangapkini  staff  12196  6 Aug 10:49 SKILL.md
-rw-r--r--@  1 priyangapkini  staff    466 20 Aug 17:52 WHY-MOVED.txt
--- breadcrumb ---
/Users/priyangapkini/.claude/botmap-skill-DISABLED-BY-ARM-A/SKILL.md
/Users/priyangapkini/.claude/botmap-skill-DISABLED-BY-ARM-A/WHY-MOVED.txt
--- WHY ---
Moved by the Arm A autoresearch experiment on 2026-08-20.

All 20 baseline eval runs loaded THIS global skill instead of the
project-scoped copy that evals/runner.py installs into its temp workdir.
That made the "prompt lever" untestable: edits to botmap/data/skill.md were
written to a file the agent never read.

Moved aside so the project-scoped copy is the only one available.

RESTORE WITH:
  mv ~/.claude/botmap-skill-DISABLED-BY-ARM-A ~/.claude/skills/botmap
--- active botmap skill? ---
ls: /Users/priyangapkini/.claude/skills/botmap: No such file or directory
--- ar-a project skills ---
/Users/priyangapkini/workspace/ar-a/botmap/.claude/skills/autoresearch-verify/SKILL.md
/Users/priyangapkini/workspace/ar-a/botmap/.claude/skills/autoresearch-loop/SKILL.md
/Users/priyangapkini/workspace/ar-a/botmap/.claude/skills/autoresearch-propose/SKILL.md

Async parallel: [context-builder+context-builder+context-builder] [7d6c94c0-9447-4004-9205-185ca2939449]

The async run is detached and running in the background.
You are in an interactive session. By default, return control to the user now; Pi will wake you on completion when the run finishes or needs attention. Do NOT call subagent_wait() merely to wait, and do not run sleep/polling loops to wait for it.
Override that default and call subagent_wait() before ending the turn only when the current request is run-to-completion — for example, the user asked you to report results back here before continuing, or a skill must finish in one turn. In that case, call subagent_wait() to block until the run completes so its results are delivered in this turn instead of deferred.
Otherwise, continue any independent work or return control to the user. Use subagent({ action: "status", id: "..." }) for a one-shot status/result or to inspect a blocked/stale run, never as a wait loop.

>cd /Users/priyangapkini/nilenso/ai-playground && echo '--- branch/HEAD ---' && git branch --show-current && git log --oneline -5 && echo '--- editing-in-progress in HEAD ---' && git ls-tree --name-only HEAD editing-in-progress | head && echo '--- last commits touching editing-in-progress ---' && git log --oneline --max-count=8 -- editing-in-progress && echo '--- diff summary ---' && git diff --stat -- editing-in-progress

--- branch/HEAD ---
feat/autoresearch
e005816 Add. the case study source, which lived only in a temp scratchpad
52a33f3 Add. three arm handovers, written before compaction
57cd1c8 Add. the live experiment dashboard
c7b6449 Add. arm A's findings, which were excluded from the tool's repo
5bd6ae0 Update. record why the run payloads stay on one machine
--- editing-in-progress in HEAD ---
editing-in-progress
--- last commits touching editing-in-progress ---
3276e99 Add macOS browser fallback
2bb444f Prevent duplicate editor processes
ada971d Improve coordinator transport diagnostics
592ae8e Add manual coordinator reconnect
8c52131 fix: add collaboration connection diagnostics
ce80ae4 fix: keep Linux browser editor alive
23dafcb fix: capture editor keyboard shortcuts
464aa5d fix: use browser window on Linux
--- diff summary ---
 editing-in-progress/.gitignore                     |    5 -
 editing-in-progress/README.md                      |  164 --
 editing-in-progress/config.example.toml            |   25 -
 editing-in-progress/deno.json                      |   25 -
 editing-in-progress/deno.lock                      | 2215 --------------------
 editing-in-progress/native/LICENSE.webui           |   21 -
 editing-in-progress/native/README.md               |   25 -
 .../native/aarch64-apple-darwin/libwebui-2.dylib   |  Bin 299904 -> 0 bytes
 .../native/aarch64-unknown-linux-gnu/libwebui-2.so |  Bin 321848 -> 0 bytes
 .../native/x86_64-apple-darwin/libwebui-2.dylib    |  Bin 271744 -> 0 bytes
 .../native/x86_64-unknown-linux-gnu/libwebui-2.so  |  Bin 328520 -> 0 bytes
 editing-in-progress/scripts/build_app.ts           |  101 -
 editing-in-progress/scripts/build_ui.ts            |   40 -
 editing-in-progress/scripts/check_webui.ts         |    8 -
 editing-in-progress/server/app/api.ts              |  157 --
 editing-in-progress/server/app/api_test.ts         |   91 -
 editing-in-progress/server/app/local_app.ts        |  306 ---
 editing-in-progress/server/app/local_app_test.ts   |   49 -
 editing-in-progress/server/app/local_document.ts   |   73 -
 .../server/app/local_document_test.ts              |   39 -
 editing-in-progress/server/app/persistence.ts      |  104 -
 editing-in-progress/server/app/persistence_test.ts |   24 -
 editing-in-progress/server/cli.ts                  |   11 -
 editing-in-progress/server/cli_test.ts             |   32 -
 editing-in-progress/server/config_file.ts          |   66 -
 editing-in-progress/server/config_file_test.ts     |   38 -
 editing-in-progress/server/core/config.ts          |  164 --
 editing-in-progress/server/core/config_test.ts     |   94 -
 editing-in-progress/server/core/protocol.ts        |  228 --
 editing-in-progress/server/core/protocol_test.ts   |  109 -
 editing-in-progress/server/core/scram.ts           |  343 ---
 editing-in-progress/server/core/scram_test.ts      |  161 --
 editing-in-progress/server/core/uuid.ts            |   36 -
 editing-in-progress/server/core/uuid_test.ts       |   62 -
 editing-in-progress/server/http/mod.ts             |  301 ---
 editing-in-progress/server/http/mod_test.ts        |  249 ---
 editing-in-progress/server/log.ts                  |   39 -
 editing-in-progress/server/main.ts                 |  211 --
 editing-in-progress/server/main_test.ts            |   45 -
 editing-in-progress/server/network/client.ts       |  599 ------
 editing-in-progress/server/network/client_test.ts  |   15 -
 editing-in-progress/server/network/coordinator.ts  |  433 ----
 .../server/network/network_e2e_test.ts             |  131 --
 editing-in-progress/server/state/room.ts           |  181 --
 editing-in-progress/server/state/room_test.ts      |  102 -
 editing-in-progress/server/state/storage.ts        |  444 ----
 editing-in-progress/server/state/storage_test.ts   |  221 --
 editing-in-progress/server/window.ts               |   89 -
 editing-in-progress/server/window_test.ts          |   24 -
 editing-in-progress/ui/index.html                  |   13 -
 editing-in-progress/ui/src/automerge_doc.ts        |   81 -
 editing-in-progress/ui/src/automerge_doc_test.ts   |   66 -
 editing-in-progress/ui/src/bridge.ts               |  201 --
 editing-in-progress/ui/src/bridge_test.ts          |   47 -
 editing-in-progress/ui/src/index.tsx               |  481 -----
 editing-in-progress/ui/src/state.ts                |   28 -
 editing-in-progress/ui/src/state_test.ts           |   21 -
 editing-in-progress/ui/src/style.css               |  372 ----
 editing-in-progress/ui/src/test_support.ts         |    3 -
 editing-in-progress/vendor/deno-webui/LICENSE      |   21 -
 editing-in-progress/vendor/deno-webui/deno.json    |    5 -
 editing-in-progress/vendor/deno-webui/deps.ts      |   42 -
 editing-in-progress/vendor/deno-webui/mod.ts       |   30 -
 editing-in-progress/vendor/deno-webui/src/lib.ts   |  488 -----
 editing-in-progress/vendor/deno-webui/src/types.ts |   64 -
 editing-in-progress/vendor/deno-webui/src/utils.ts |   14 -
 editing-in-progress/vendor/deno-webui/src/webui.ts | 1394 ------------
 67 files changed, 11271 deletions(-)

>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && echo '--- env key present names only ---' && grep -nE 'OPENROUTER|ANTHROPIC|CLAUDE|BOTMAP_REPO' .env 2>/dev/null | sed -E 's/(=).*/=***REDACTED***/' || true && echo '--- runner claude invocation ---' && grep -n "claude -p\|claude" autoresearch/runner.py | sed -n '1,120p'

--- env key present names only ---
1:OPENROUTER_API_KEY=[REDACTED]
--- runner claude invocation ---
43:    dest = workdir / ".claude" / "skills" / "botmap" / "SKILL.md"
53:    stderr_path = workdir / "claude-stderr.log"
78:            "claude", "-p", question.question,
91:                raise SystemExit("`claude` isn't on PATH — install Claude Code first")
104:                               ("claude-stderr.log", stderr_path)):

The Pi-agent launch failed because the subagent runtime is broken, not because of the task:

So I cannot safely spin up Arm A/B/C as Pi subagents until that dependency is repaired.

Dirty `editing-in-progress` state

Current branch: feat/autoresearch.

The dirty changes are not small edits — the entire tracked editing-in-progress/ project is deleted from the working tree:

67 tracked files deleted
11271 deletions(-)
ls editing-in-progress says the directory does not exist

Recent commits show it is an active tracked project, not generated junk:

text

3276e99 Add macOS browser fallback2bb444f Prevent duplicate editor processesada971d Improve coordinator transport diagnostics...

3276e99 Add macOS browser fallback2bb444f Prevent duplicate editor processesada971d Improve coordinator transport diagnostics...

Untracked unrelated things also exist:

text

.DS_Store.claude/worktrees/autoresearch-prompt/.idea/.vscode/settings.jsonautoresearch/tools/dashboard/lever-history

.DS_Store.claude/worktrees/autoresearch-prompt/.idea/.vscode/settings.jsonautoresearch/tools/dashboard/lever-history

I will not clean or restore this without your decision.

Why the botmap skill was disabled

The global Claude skill was moved from:

to:

Reason from WHY-MOVED.txt:

All 20 baseline eval runs loaded THIS global skill instead of the project-scoped copy that evals/runner.py installs into its temp workdir. That made the prompt lever untestable: edits to botmap/data/skill.md were written to a file the agent never read.

So for the experiment, the global botmap skill should stay disabled. The agent under test must read the project-scoped skill copied into the temp workdir.

This matches Phase 0 of docs/plan.md: add --setting-sources project to the claude -p invocation so the agent sees project settings/skills only.

Current command in autoresearch/runner.py does not include it yet.

Decisions needed before I proceed

For editing-in-progress/, should I:
- restore it with git checkout -- editing-in-progress, or
- leave it dirty and only touch autoresearch/, or
- stop until you inspect it manually?
For Pi subagents, should I:
- repair the Pi subagent dependency (typebox/compile) and then launch Arm A/B/C, or
- avoid subagents and orchestrate manually in this parent Pi session for now?
For the global botmap skill:
- keep disabled for experiment isolation, or
- restore it for your normal Claude use and rely only on --setting-sources project once Phase 0 lands?

Can you spin up agents like pie in different sessions and communicate it with the three different sessions for AM ABC each session can be a tab in herder

>herdr tab 2>&1 | sed -n '1,160p'; echo '--- pane ---'; herdr pane 2>&1 | sed -n '1,180p'; echo '--- agent ---'; herdr agent 2>&1 | sed -n '1,140p'

herdr tab commands:
  herdr tab list [--workspace <workspace_id>]
  herdr tab create [--workspace <workspace_id>] [--cwd PATH] [--label TEXT] [--env KEY=VALUE] [--focus] [--no-focus]
  herdr tab get <tab_id>
  herdr tab focus <tab_id>
  herdr tab rename <tab_id> <label>
  herdr tab close <tab_id>
--- pane ---
herdr pane commands:
  herdr pane list [--workspace <workspace_id>]
  herdr pane current [--pane ID|--current]
  herdr pane get <pane_id>
  herdr pane layout [--pane ID|--current]
  herdr pane process-info [--pane ID|--current]
  herdr pane neighbor --direction left|right|up|down [--pane ID|--current]
  herdr pane edges [--pane ID|--current]
  herdr pane focus --direction left|right|up|down [--pane ID|--current]
  herdr pane resize --direction left|right|up|down [--amount FLOAT] [--pane ID|--current]
  herdr pane zoom [<pane_id>|--pane ID|--current] [--toggle|--on|--off]
  herdr pane rename <pane_id> <label>|--clear
  herdr pane read <pane_id> [--source visible|recent|recent-unwrapped] [--lines N] [--format text|ansi] [--ansi]
  herdr pane split [<pane_id>|--pane ID|--current] --direction right|down [--ratio FLOAT] [--cwd PATH] [--env KEY=VALUE] [--focus] [--no-focus]
  herdr pane swap --direction left|right|up|down [--pane ID|--current]
  herdr pane swap --source-pane ID --target-pane ID
  herdr pane move <pane_id> --tab <tab_id> --split right|down [--target-pane ID] [--ratio FLOAT] [--focus|--no-focus]
  herdr pane move <pane_id> --new-tab [--workspace ID] [--label TEXT] [--focus|--no-focus]
  herdr pane move <pane_id> --new-workspace [--label TEXT] [--tab-label TEXT] [--focus|--no-focus]
  herdr pane close <pane_id>
  herdr pane send-text <pane_id> <text>
  herdr pane send-keys <pane_id> <key> [key ...]
  herdr pane wait-output <pane_id> (--match TEXT | --regex PATTERN) [--source visible|recent|recent-unwrapped] [--lines N] [--timeout MS] [--raw]
  herdr pane report-agent <pane_id> --source ID --agent LABEL --state idle|working|blocked|unknown [--message TEXT] [--seq N] [--agent-session-id ID] [--agent-session-path PATH]
  herdr pane report-agent-session <pane_id> --source ID --agent LABEL [--seq N] [--agent-session-id ID] [--agent-session-path PATH]
  herdr pane release-agent <pane_id> --source ID --agent LABEL [--seq N]
  herdr pane report-metadata <pane_id> --source ID [--agent LABEL] [--applies-to-source ID] [--title TEXT|--clear-title] [--display-agent TEXT|--clear-display-agent] [--state-label STATUS=TEXT] [--clear-state-labels] [--token NAME=VALUE] [--clear-token NAME] [--seq N] [--ttl-ms N]
  herdr pane run <pane_id> <command>
--- agent ---
herdr agent commands:
  herdr agent list
  herdr agent get <target>
  herdr agent read <target> [--source visible|recent|recent-unwrapped|detection] [--lines N] [--format text|ansi] [--ansi]
  herdr agent send-keys <target> <key> [key ...]
  herdr agent prompt <target> <text> [--wait] [--until STATUS]... [--timeout MS]
  herdr agent rename <target> <name>|--clear
  herdr agent focus <target>
  herdr agent wait <target> [--until STATUS]... [--timeout MS]
  herdr agent attach <target> [--takeover]
  herdr agent start <name> --kind KIND --pane ID [--timeout MS] [-- <agent-args...>]
  herdr agent explain <target> [--json|--format text|json] [--verbose]
  herdr agent explain --file PATH --agent LABEL [--json|--format text|json] [--verbose]
  targets accept unique agent names and pane ids that currently host agents
  kinds: pi|claude|codex|gemini|cursor|devin|agy|cline|omp|mastracode|opencode|copilot|kimi|kiro|droid|amp|grok|hermes|kilo|qodercli|maki

>set -e
AR=/Users/priyangapkini/nilenso/ai-playground/autoresearch
for arm in A B C; do
  label="pi-arm-$arm"
  out=$(herdr tab create --workspace "$HERDR_WORKSPACE_ID" --cwd "$AR" --label "$label" --no-focus)
  echo "$arm $out"
done

A {"id":"cli:tab:create","result":{"root_pane":{"agent_status":"unknown","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","pane_id":"w2:p1K","revision":0,"scroll":{"max_offset_from_bottom":0,"offset_from_bottom":0,"viewport_rows":53},"tab_id":"w2:t1A","terminal_id":"term_6598dd2fe5ca7d","workspace_id":"w2"},"tab":{"agent_status":"unknown","focused":false,"label":"pi-arm-A","number":42,"pane_count":1,"tab_id":"w2:t1A","workspace_id":"w2"},"type":"tab_created"}}
B {"id":"cli:tab:create","result":{"root_pane":{"agent_status":"unknown","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","pane_id":"w2:p1M","revision":0,"scroll":{"max_offset_from_bottom":0,"offset_from_bottom":0,"viewport_rows":53},"tab_id":"w2:t1B","terminal_id":"term_6598dd2fe8ddde","workspace_id":"w2"},"tab":{"agent_status":"unknown","focused":false,"label":"pi-arm-B","number":43,"pane_count":1,"tab_id":"w2:t1B","workspace_id":"w2"},"type":"tab_created"}}
C {"id":"cli:tab:create","result":{"root_pane":{"agent_status":"unknown","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","pane_id":"w2:p1N","revision":0,"scroll":{"max_offset_from_bottom":0,"offset_from_bottom":0,"viewport_rows":53},"tab_id":"w2:t1C","terminal_id":"term_6598dd2fec79cf","workspace_id":"w2"},"tab":{"agent_status":"unknown","focused":false,"label":"pi-arm-C","number":44,"pane_count":1,"tab_id":"w2:t1C","workspace_id":"w2"},"type":"tab_created"}}

>herdr agent start pi-arm-a --kind pi --pane w2:p1K --timeout 180000 2>&1

{"id":"cli:agent:start","result":{"agent":{"agent":"pi","agent_session":{"agent":"pi","kind":"path","source":"herdr:pi","value":"/Users/priyangapkini/.pi/agent/sessions/--Users-priyangapkini-nilenso-ai-playground-autoresearch--/2026-08-21T12-32-11-596Z_01a0244e-af4c-7b71-937e-a92017437b54.jsonl"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","interactive_ready":true,"name":"pi-arm-a","pane_id":"w2:p1K","revision":2,"state_change_seq":402,"tab_id":"w2:t1A","terminal_id":"term_6598dd2fe5ca7d","terminal_title":"pi","terminal_title_stripped":"pi","workspace_id":"w2"},"argv":["pi"],"type":"agent_started"}}

>herdr agent start pi-arm-b --kind pi --pane w2:p1M --timeout 180000 2>&1

{"id":"cli:agent:start","result":{"agent":{"agent":"pi","agent_session":{"agent":"pi","kind":"path","source":"herdr:pi","value":"/Users/priyangapkini/.pi/agent/sessions/--Users-priyangapkini-nilenso-ai-playground-autoresearch--/2026-08-21T12-32-11-578Z_01a0244e-af39-7700-bab5-7bff04a4ebb7.jsonl"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","interactive_ready":true,"name":"pi-arm-b","pane_id":"w2:p1M","revision":2,"state_change_seq":401,"tab_id":"w2:t1B","terminal_id":"term_6598dd2fe8ddde","terminal_title":"pi","terminal_title_stripped":"pi","workspace_id":"w2"},"argv":["pi"],"type":"agent_started"}}

>herdr agent start pi-arm-c --kind pi --pane w2:p1N --timeout 180000 2>&1

{"id":"cli:agent:start","result":{"agent":{"agent":"pi","agent_session":{"agent":"pi","kind":"path","source":"herdr:pi","value":"/Users/priyangapkini/.pi/agent/sessions/--Users-priyangapkini-nilenso-ai-playground-autoresearch--/2026-08-21T12-32-11-617Z_01a0244e-af61-7d4f-b4b5-5736ac6d9496.jsonl"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","interactive_ready":true,"name":"pi-arm-c","pane_id":"w2:p1N","revision":2,"state_change_seq":403,"tab_id":"w2:t1C","terminal_id":"term_6598dd2fec79cf","terminal_title":"pi","terminal_title_stripped":"pi","workspace_id":"w2"},"argv":["pi"],"type":"agent_started"}}

>SP=/private/tmp/pi-autoresearch-arms
mkdir -p "$SP"
cat > "$SP/arm-a.txt" <<'EOF'
You are PI ARM A for the autoresearch experiment. You replace the old Claude Arm A because the Claude subscription ran out. Work as a child arm under an orchestrator; do not make project decisions on your own.

READ FIRST:
- /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md (superseding agreed plan; follow it exactly)
- /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/arm-a/HANDOVER.md
- /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/autoresearch-three-arm-experiment.md
- /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/decisions-are-the-users.md
- /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/botmap-cache-is-shared-and-unpinned.md

ARM A old workspace:
- /Users/priyangapkini/workspace/ar-a/botmap
- skills: /Users/priyangapkini/workspace/ar-a/botmap/.claude/skills/autoresearch-loop/SKILL.md, autoresearch-propose/SKILL.md, autoresearch-verify/SKILL.md

Important current facts:
- Global Claude botmap skill is intentionally disabled at ~/.claude/botmap-skill-DISABLED-BY-ARM-A because it shadowed project-scoped botmap/data/skill.md and made prompt-lever experiments void. Read WHY-MOVED.txt. Do not restore it unless orchestrator/user tells you.
- The new plan says no one starts component work until contract.py is merged. Parent/orchestrator is handling common blocking changes. Your role now is context reconstruction and readiness.
- The final deliverable is docs/agent-friendly-cli.md entries backed by measurements.

Your immediate task:
1. Read the files above.
2. Inspect old Arm A skills and handover.
3. Prepare a concise readiness report: what Arm A owns under the new plan (sabotage.py, explain.py, class F detection, docs evidence entries), what context from old Arm A matters, hazards, exact files/paths, and questions that need Priyanga/orchestrator decision.
4. Do NOT edit project/source files yet. Do NOT spend model/API quota by launching evals. Do NOT restore the global botmap skill.

When done, say READY and provide the report in this session.
EOF

cat > "$SP/arm-b.txt" <<'EOF'
You are PI ARM B for the autoresearch experiment. You replace the old Claude Arm B because the Claude subscription ran out. Work as a child arm under an orchestrator; do not make project decisions on your own.

READ FIRST:
- /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md (superseding agreed plan; follow it exactly)
- /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/arm-b/HANDOVER.md
- /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/autoresearch-three-arm-experiment.md
- /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/parallel-runs-need-separate-botmap-repo.md
- /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/botmap-cache-is-shared-and-unpinned.md
- /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/decisions-are-the-users.md

Important current facts:
- The new plan assigns Arm B: Phase 0a skill isolation check, Phase 1 contract.py (blocking), then probe.py and record-v2 wiring.
- Parent/orchestrator may implement common blocking edits, but you should be ready to own/review Arm B tasks.
- Global Claude botmap skill is disabled because it shadowed the project skill. Phase 0a is to add --setting-sources project to claude -p invocation in runner.py and verify a probe run sees only project skills.
- OpenRouter API key exists in /Users/priyangapkini/nilenso/ai-playground/autoresearch/.env. The experiment under test still uses claude interactive mode; do not launch paid runs without orchestrator approval.

Your immediate task:
1. Read the files above and inspect runner.py, contract-adjacent code, and current repo structure.
2. Prepare a concise readiness report: exact implementation plan for Phase 0a and contract.py, validation commands, hazards, dirty worktree concerns, and questions for Priyanga/orchestrator.
3. Do NOT edit project/source files yet. Do NOT spend model/API quota by launching evals.

When done, say READY and provide the report in this session.
EOF

cat > "$SP/arm-c.txt" <<'EOF'
You are PI ARM C for the autoresearch experiment. You replace the old Claude Arm C because the Claude subscription ran out. Work as a child arm under an orchestrator; do not make project decisions on your own.

READ FIRST:
- /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md (superseding agreed plan; follow it exactly)
- /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/arm-c/HANDOVER.md
- /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/autoresearch-three-arm-experiment.md
- /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/decisions-are-the-users.md

Old Arm C worktree:
- /Users/priyangapkini/nilenso/ar-c-autoresearch on branch feat/agent-struggle-scorer

Important current facts:
- The new plan assigns Arm C: taxonomy.py (three-axis classifier and class derivation via contract), score.py (class-weighted scoring with TODO weights), class E network/quota handling, and proving class B fix with count-zero-hint.
- No one starts component work until contract.py lands. Parent/orchestrator is handling common blocking changes.
- Previous Arm C has useful commits but they were superseded by docs/plan.md; mine concepts carefully, do not blindly merge.

Your immediate task:
1. Read the files above.
2. Inspect old Arm C worktree status/log and relevant files, without modifying them.
3. Prepare a concise readiness report: which old Arm C ideas/commits map to the new evaluator plan, what Arm C should implement after contract.py, validation strategy, hazards, and questions for Priyanga/orchestrator.
4. Do NOT edit project/source files yet. Do NOT spend model/API quota by launching evals.

When done, say READY and provide the report in this session.
EOF

herdr agent prompt pi-arm-a "$(cat "$SP/arm-a.txt")" --wait --until idle --timeout 5000 || true
herdr agent prompt pi-arm-b "$(cat "$SP/arm-b.txt")" --wait --until idle --timeout 5000 || true
herdr agent prompt pi-arm-c "$(cat "$SP/arm-c.txt")" --wait --until idle --timeout 5000 || true
herdr agent list 2>&1 | grep -o '"name":"pi-arm-[abc]"[^}]*' || true

{"error":{"code":"timeout","message":"timed out waiting for agent status"},"id":"cli:agent:prompt"}
{"error":{"code":"timeout","message":"timed out waiting for agent status"},"id":"cli:agent:prompt"}
{"error":{"code":"timeout","message":"timed out waiting for agent status"},"id":"cli:agent:prompt"}
"name":"pi-arm-a","pane_id":"w2:p1K","revision":3,"screen_detection_skipped":true,"state_change_seq":404,"tab_id":"w2:t1A","terminal_id":"term_6598dd2fe5ca7d","terminal_title":"π - autoresearch","terminal_title_stripped":"π - autoresearch","workspace_id":"w2"
"name":"pi-arm-b","pane_id":"w2:p1M","revision":3,"screen_detection_skipped":true,"state_change_seq":405,"tab_id":"w2:t1B","terminal_id":"term_6598dd2fe8ddde","terminal_title":"π - autoresearch","terminal_title_stripped":"π - autoresearch","workspace_id":"w2"
"name":"pi-arm-c","pane_id":"w2:p1N","revision":3,"screen_detection_skipped":true,"state_change_seq":406,"tab_id":"w2:t1C","terminal_id":"term_6598dd2fec79cf","terminal_title":"π - autoresearch","terminal_title_stripped":"π - autoresearch","workspace_id":"w2"

>herdr agent list 2>&1 | python3 -c 'import sys,json; d=json.load(sys.stdin); [print(a.get("name"), a.get("agent_status"), a.get("pane_id"), a.get("tab_id")) for a in d["result"]["agents"] if a.get("name","").startswith("pi-arm")]'

pi-arm-a working w2:p1K w2:t1A
pi-arm-b working w2:p1M w2:t1B
pi-arm-c working w2:p1N w2:t1C

Done — I spun up three Pi agents in separate Herdr tabs and briefed each with the relevant context.

Arm	Herdr agent	Tab	Pane	Status
Arm A	`pi-arm-a`	`w2:t1A`	`w2:p1K`	working
Arm B	`pi-arm-b`	`w2:t1B`	`w2:p1M`	working
Arm C	`pi-arm-c`	`w2:t1C`	`w2:p1N`	working

I instructed them to:

read docs/plan.md
read their old experiments/arm-*/HANDOVER.md
read the relevant Claude memory files
not edit files yet
not spend API/model quota
prepare readiness reports for their arm

Also confirmed the botmap global skill reason:

~/.claude/skills/botmap is still disabled.
It was disabled because it shadowed the project-scoped botmap/data/skill.md, making prompt-lever experiments invalid.
I told arms not to restore it.

I have a live dashboard here http://localhost:8765/ which updates the experiment data. As an orchestrator poll each arm and lemme know if any decision needs to be made, I can answer them you will relay it to the arms. You will be messaging them, they can signal you but they cannot talk to each other. All primary decision has to be run by me

>herdr agent read pi-arm-a --source recent-unwrapped --lines 220 2>&1

/Users/priyangapkini/workspace/ar-a/botmap/notes/findings.md
 /Users/priyangapkini/workspace/ar-a/botmap/notes/sync-candidates.sh

 Took 0.0s



 $ find /Users/priyangapkini/nilenso/ai-playground/autoresearch -maxdepth 3 -type f | sort | head -200

 ... (115 earlier lines, ctrl+o to expand)
 /Users/priyangapkini/nilenso/ai-playground/autoresearch/TODO.md
 /Users/priyangapkini/nilenso/ai-playground/autoresearch/tools/dashboard/dashboard.py
 /Users/priyangapkini/nilenso/ai-playground/autoresearch/tools/dashboard/README.md
 /Users/priyangapkini/nilenso/ai-playground/autoresearch/tools/dashboard/trajectory.py
 /Users/priyangapkini/nilenso/ai-playground/autoresearch/uv.lock

 Took 0.0s



 $ find /Users/priyangapkini/nilenso/ai-playground/autoresearch -path '*failure_dataset.yaml' -o -path '*agenteval*' | sort

 /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/failure_dataset.yaml

 Took 0.2s


 Reading failure dataset and report


 read ~/nilenso/ai-playground/autoresearch/experiments/failure_dataset.yaml:1-200



 read ~/nilenso/ai-playground/autoresearch/experiments/arm-a/AUTORESEARCH-REPORT.md



 read ~/workspace/ar-a/botmap/notes/findings.md:1-200



 read ~/workspace/ar-a/botmap/notes/findings.md:201-460


 Confirming final summary scope and readiness

 READY

 Arm A readiness report

 ### Current operating constraints

 - I have read:
     - docs/plan.md
     - experiments/arm-a/HANDOVER.md
     - memory files:
         - autoresearch-three-arm-experiment.md
         - decisions-are-the-users.md
         - botmap-cache-is-shared-and-unpinned.md
     - old Arm A skills:
         - /Users/priyangapkini/workspace/ar-a/botmap/.claude/skills/autoresearch-loop/SKILL.md
         - /Users/priyangapkini/workspace/ar-a/botmap/.claude/skills/autoresearch-propose/SKILL.md
         - /Users/priyangapkini/workspace/ar-a/botmap/.claude/skills/autoresearch-verify/SKILL.md
     - global skill disable breadcrumb:
         - /Users/priyangapkini/.claude/botmap-skill-DISABLED-BY-ARM-A/WHY-MOVED.txt

 - I will not edit project/source files until orchestrator says contract work has landed and Arm A is released.

 - I will not run evals or spend model/API quota.

 - I will not restore ~/.claude/skills/botmap.

 What Arm A owns under the new plan

 Blocked until autoresearch/agenteval/contract.py is merged by Arm B.

 Once unblocked, Arm A owns:

 1. autoresearch/agenteval/sabotage.py
     - Fixtures per class A–F.
     - Fixtures per class-C subtype:
         - c-vocabulary
         - c-wrong-column
         - c-wrong-type
         - c-dropped-input
         - c-truncated
         - c-wrong-entity
         - c-unknown
     - Fixtures should be drawn from real recorded traces, especially:
         - experiments/failure_dataset.yaml
         - /Users/priyangapkini/workspace/ar-a/botmap/notes/findings.md
         - existing retained attempts from baseline-noise-run1-3009509 once orchestrator identifies path.

 2. autoresearch/agenteval/explain.py
     - Convert verdicts/probe evidence into actionable feedback text for proposer.
     - Target shape from plan:
         - class/subtype
         - command run
         - result
         - probe evidence
         - missing CLI behaviour / fix instruction

 3. Class F / agent-side detection
     - Detect “hint offered at call N, not used by N+1”.
     - Record as agent-side, not tool charge.
     - Old C1 trace is important evidence: near-match hint fired, agent ignored once, acted late, final answer still wrong.

 4. docs/agent-friendly-cli.md evidence entries
     - Final deliverable entries only when backed by measurements.
     - Each entry must include PROPERTY, VIOLATION, STATUS, BEFORE, CHANGE, AFTER, VERDICT.
     - For now, Arm A can prepare candidate mappings, but should not claim confirmation without paired before/after runs.

 Old Arm A context that matters

 ### Candidate branches / commits in old workspace

 Old repo: /Users/priyangapkini/workspace/ar-a/botmap

 Important branches/commits:

 - cand/count-zero-hint
     - measured commit: 99d993f
     - branch head: 9a2496d, post-review fix, not re-measured
     - Relevant to new plan:
         - fixture for class B / recovery hints
         - paired Tier-2 experiment for “Name the fix, not just the problem”
         - also class F evidence when hint is ignored

 - cand/skill-bus-station
     - commit 6c04003
     - prompt/instruction lever changing botmap/data/skill.md
     - Relevant to new plan:
         - paired Tier-2 experiment for instruction-side fix
         - beware global skill shadowing made prompt-lever experiments void unless isolated

 - cand/count-flag-parity
     - commit 05ef72c
     - tool lever: --category / --class shortcuts on count
     - Relevant mainly as “mechanism verified but agent used it zero times”.

 - arm-a-base
     - contains notes/sync-candidates.sh guard and verify-skill rewrite.
     - Guard matters if old candidate branches are reused.

 ### Important evidence files

 - /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/failure_dataset.yaml
     - Maps 26/30 questions to known defects.
     - Best starting point for sabotage fixture coverage.

 - /Users/priyangapkini/workspace/ar-a/botmap/notes/findings.md
     - Contains Arm A findings F1–F15.
     - Fragile: old handover says notes/ is excluded and untracked in that working tree.

 - /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/findings.md
     - Mentioned as source for failure dataset evidence.

 - /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/proposals.json
     - Proposal IDs referenced by failure_dataset.yaml.

 Hazards

 1. Decision authority
     - Priyanga withdrew autonomous decision-making.
     - Arm A should report questions/options, not decide changes, weights, runs, or experimental interpretation.

 2. Global botmap skill
     - Disabled at:
         - ~/.claude/botmap-skill-DISABLED-BY-ARM-A
     - Reason:
         - It shadowed project-scoped botmap/data/skill.md, making prompt-lever experiments void.
     - Do not restore unless orchestrator/user explicitly says so.

 3. No component work before contract
     - Plan explicitly says nobody starts until contract.py is merged.
     - Arm A should wait for the contract API before writing sabotage.py, explain.py, or class-F code.

 4. Do not touch botmap/evals/
     - New evaluator lives under autoresearch/agenteval/.
     - Existing runs/records are history; do not rewrite.

 5. Cache is shared and unpinned
     - ~/.cache/botmap/divisions-index-<release>.parquet is user-level.
     - Release rollover invalidates baselines silently.
     - Concurrent rebuilds can corrupt cache.
     - One orchestrated cache builder only.

 6. Quota/network failures contaminate measurements
     - Old Arm A found curlCode 28 / quota exhaustion can look like broken candidates.
     - No evals until orchestrator says measurement conditions are valid.

 7. Old C1 branch ambiguity
     - Round 1 measured 99d993f.
     - Branch head 9a2496d has an unverified post-review fix.
     - Any future paired run must state exactly which commit is being tested.

 Questions needing Priyanga/orchestrator decision

 1. For Arm A sabotage fixtures, should I use only already-committed autoresearch artifacts, or may I reference old untracked Arm A notes under /Users/priyangapkini/workspace/ar-a/botmap/notes/?

 2. For C1 count-zero-hint, which commit should future paired experiments treat as the candidate?
     - measured 99d993f
     - unmeasured branch head 9a2496d
     - rebuild fresh from the new shared contract

 3. For class F detection, should “hint ignored by N+1” be strict one-call-only, or should we record richer windows like “ignored for next K calls, eventually used”?

 4. Should Arm A prepare docs/agent-friendly-cli.md hypothesis stubs before paired runs, or wait until AFTER traces exist?

 5. Where are the 60 retained attempts from baseline-noise-run1-3009509 located, and should Arm A use them as fixture sources once unblocked?

─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
~/nilenso/ai-playground/autoresearch (feat/autoresearch)
↑33k ↓2.7k R135k CH89.9% $0.315 (sub) 15.5%/272k (auto)                                                                                                                               (openai-codex) gpt-5.5 • medium

>herdr agent read pi-arm-b --source recent-unwrapped --lines 220 2>&1

$ find .claude -maxdepth 4 -type f -print 2>/dev/null | sort || true && find /Users/priyangapkini/workspace/ar-b/botmap -maxdepth 3 -type f \( -path '*/.claude/*' -o -path '*/botmap/data/skill.md' \) -print
 2>/dev/null | sort | head -50 (timeout 120s)

 /Users/priyangapkini/workspace/ar-b/botmap/botmap/data/skill.md

 Took 0.0s


 Verifying skill source setting scope


 read experiments/runs/baseline-noise-run1-3009509/attempts/bus-stops-with-coffee__r1/commands.jsonl:1-20


 Planning final validation with dirty status


 $ git status --short -- autoresearch docs experiments/arm-b tests pyproject.toml README.md TODO.md | head -100 (timeout 120s)

 (no output)

 Took 0.0s


 Designing contract validation approach

 Planning contract validation and skill isolation

 Resolving JSON key conflict with cls field

 READY

 Readiness report — Arm B

 ### Current state inspected

 Read:
 - docs/plan.md
 - experiments/arm-b/HANDOVER.md
 - all four memory files
 - autoresearch/runner.py
 - adjacent evaluator/scoring/trace/config/worktree code
 - current repo/worktree status

 Important current code points:
 - Claude invocation is in autoresearch/runner.py inside ask().
 - Current command lacks --setting-sources project.
 - Existing attempt shape is score.Attempt + trace.Call + trace.Transcript.
 - Existing classifier is old single-label autoresearch/taxonomy.py.
 - No autoresearch/agenteval/ package exists yet.
 - Existing tests are in tests/test_scoring.py.

 Phase 0a implementation plan — skill isolation

 Exact source edit when approved:

 In autoresearch/runner.py, change:

 ```python
   cmd = [
      "claude", "-p", question.question,
      "--output-format", "stream-json", "--verbose",
      "--model", model,
      "--permission-mode", "bypassPermissions",
      "--allowedTools", "Bash",
   ]
 ```

 to include:

 ```python
   "--setting-sources", "project",
 ```

 Likely placement:

 ```python
   cmd = [
      "claude", "-p", question.question,
      "--setting-sources", "project",
      "--output-format", "stream-json", "--verbose",
      "--model", model,
      "--permission-mode", "bypassPermissions",
      "--allowedTools", "Bash",
   ]
 ```

 Rationale: lowest-risk behavioral change, scoped exactly to agreed Phase 0.

 Validation after orchestrator approval:
 1. Static/unit:
    ```bash
      uv run pytest
    ```
 2. Cheap skill-isolation probe, only if Priyanga/orchestrator approves Claude quota use:
     - create temp workdir with only project .claude/skills/botmap/SKILL.md
     - invoke claude -p with --setting-sources project
     - ask it to report visible skill names
     - expected: botmap + Claude Code built-ins only; no herdr, context-lens, lavish, find-skills, mattpocock-skills:*
 3. One normal low-cost question completion, also only with approval:
     - via runner.ask() or equivalent retained attempt
     - expected: transcript result present, botmap command logging still works

 Hazard:
 - Need confirm Claude Code treats temp cwd .claude/skills as “project” source under --setting-sources project. If not, botmap skill may disappear too.

 Phase 1 implementation plan — agenteval/contract.py

 Create package:

 ```text
   autoresearch/agenteval/
     __init__.py
     contract.py
 ```

 Implement:

 ```python
   @dataclass(frozen=True)
   class Probe:
      kind: str
      ran: str
      result: str
      conclusive: bool

   @dataclass(frozen=True)
   class CallVerdict:
      outcome: str
      blame: str
      recovery: str
      cls: str
      subtype: str | None
      evidence: str
      probes: tuple[Probe, ...]

   @dataclass(frozen=True)
   class Record2:
      schema: str
      question_id: str
      repeat: int
      calls: tuple[dict, ...]
      agent_side: tuple[dict, ...]
      tools_used: dict[str, int]
      botmap_calls: int
      answer: dict
 ```

 Key choices to confirm:
 - Python field should be cls, JSON key should be "class" because class is reserved.
 - derive_class(outcome, blame, recovery) is the only class derivation function.
 - validate(raw) returns list[str], never raises.
 - load(path) can raise only for file/JSON I/O, but schema problems should be discoverable through validate.
 - write(path, record) writes JSON with "schema": "agenteval/2".

 Expected derivation rules:
 - blame == "environment" → E
 - blame == "agent" → F
 - outcome == "degenerate" → D
 - outcome == "error" and recovery == "unguided" → A
 - outcome == "error" and recovery == "guided" → B
 - outcome == "empty" and recovery == "unguided" → C
 - otherwise clean/OK mapping needs orchestrator confirmation: probably no class or "clean"? Plan table only names A-F failures.

 Validation tests to add:
 - hand-written valid record round-trips
 - validate() accepts minimal valid agenteval/2
 - validate() rejects stored "class" inconsistent with axes
 - invalid outcome/blame/recovery values are reported
 - probe shape errors are reported
 - derive_class() covers A-F table

 Commands:

 ```bash
   uv run pytest
   uv run python -m py_compile autoresearch/agenteval/contract.py
 ```

 No model/API spend needed for contract validation.

 Dirty worktree concerns

 From repo root /Users/priyangapkini/nilenso/ai-playground:
 - Large dirty state exists outside autoresearch: many deleted files under editing-in-progress/, plus untracked IDE/worktree files.
 - Scoped autoresearch paths appear clean:
   ```bash
     git status --short -- autoresearch docs experiments/arm-b tests pyproject.toml README.md TODO.md
   ```
   returned no output.

 Concern:
 - Any commit/status from monorepo root will be noisy and dangerous unless scoped carefully.
 - I should only touch autoresearch/... and tests/... after approval.

 Hazards

 - Do not launch evals or optimizer runs without approval.
 - Claude subscription quota is exhausted/limited; probe calls still spend quota.
 - OpenRouter key exists but experiment under test still uses Claude interactive path unless orchestrator changes that.
 - BOTMAP_REPO must remain isolated: /Users/priyangapkini/workspace/ar-b/botmap.
 - botmap cache is user-global and unpinned; do not infer candidate failure from release/cache anomalies.
 - experiments/runs/ and experiments/baselines/ are gitignored local evidence; do not overwrite/move without explicit direction.
 - Do not edit botmap/evals/.

 Questions for Priyanga/orchestrator

 1. For clean calls in record-v2, should JSON "class" be omitted/null, or should we introduce "clean" despite plan saying classes A-F?
 2. Should load() validate and raise on bad records, or simply parse while callers use validate()?
 3. May Phase 0a validation spend the two cheap Claude probe calls after the code edit?
 4. Should invocation metadata (setting_sources, model, agent path/provider) be included in Record2 now, or deferred as plan says it is not Phase 0?
 5. Should I keep contract tests in existing tests/test_scoring.py or create tests/test_contract.py?

─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
~/nilenso/ai-playground/autoresearch (feat/autoresearch)
↑72k ↓3.2k R309k CH98.8% $0.610 (sub) 25.3%/272k (auto)                                                                                                                               (openai-codex) gpt-5.5 • medium

>herdr agent read pi-arm-c --source recent-unwrapped --lines 220 2>&1

read ~/nilenso/ar-c-autoresearch/autoresearch/tests/test_scoring.py


 Identifying relevant config weights and quotas


 read ~/nilenso/ar-c-autoresearch/autoresearch/autoresearch/config.py



 read ~/nilenso/ar-c-autoresearch/autoresearch/autoresearch/evaluator.py



 read ~/nilenso/ar-c-autoresearch/autoresearch/experiments/NOISE-FLOOR-FINDING.md



 $ git -C /Users/priyangapkini/nilenso/ar-c-autoresearch show --stat --oneline --no-renames ab5e899 0118512 da831d7 7fc43f4 (timeout 30s)

 ... (19 earlier lines, ctrl+o to expand)
 7fc43f4 Fix. the score pointed at deleting the tool's own diagnostics
  autoresearch/autoresearch/score.py    | 30 ++++++++++-
  autoresearch/autoresearch/taxonomy.py | 21 +++++---
  autoresearch/tests/test_scoring.py    | 94 ++++++++++++++++++++++++++++++++---
  3 files changed, 130 insertions(+), 15 deletions(-)

 Took 0.0s


 Inspecting current repo status


 $ pwd; git status --short; find autoresearch -maxdepth 3 -type f | sort | sed -n '1,120p'; git log --oneline --decorate -5 (timeout 30s)

 ... (116 earlier lines, ctrl+o to expand)
 e005816 (HEAD -> feat/autoresearch, origin/feat/autoresearch) Add. the case study source, which lived only in a temp scratchpad
 52a33f3 Add. three arm handovers, written before compaction
 57cd1c8 Add. the live experiment dashboard
 c7b6449 Add. arm A's findings, which were excluded from the tool's repo
 5bd6ae0 Update. record why the run payloads stay on one machine

 Took 0.1s


 Reviewing current taxonomy relevance


 read ~/nilenso/ai-playground/autoresearch/autoresearch/taxonomy.py



 read ~/nilenso/ai-playground/autoresearch/autoresearch/score.py:1-200



 $ test -e /Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/contract.py; echo contract_exists=$?; find /Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch -maxdepth
 2 -path '*/agenteval/*' -type f -print (timeout 30s)

 contract_exists=1

 Took 0.0s


 Summarizing final report content

 READY

 Arm C readiness report

 ### Files read / status checked

 - Read docs/plan.md, Arm C handover, and both memory notes.
 - Inspected old Arm C worktree only; no edits made.
 - Old worktree:
     - Path: /Users/priyangapkini/nilenso/ar-c-autoresearch
     - Branch: feat/agent-struggle-scorer
     - Status: clean
     - Head: 60d5de8 Add. the exam cannot detect what it was built to detect
 - Current shared checkout has no autoresearch/agenteval/contract.py yet, so Arm C remains blocked per plan.

 Useful old Arm C work that maps to new plan

 ### Directly mineable

 1. Class B / hint-not-punished fix
     - Commit: 7fc43f4 Fix. the score pointed at deleting the tool's own diagnostics
     - Old idea: distinguish “Did you mean” diagnostics from silent bad values.
     - New mapping:
         - error + guided → class B
         - should be near-free
         - should satisfy recovery
         - proves count-zero-hint must score better than baseline.

 2. Class E network handling
     - Commit: 0118512 Fix. network timeouts scored as if the tool had crashed
     - Old idea: specific network markers before traceback classification.
     - New mapping:
         - blame=environment → class E
         - dropped from scoring.
     - Need adapt from string label network_failure into axis verdict.

 3. Quota exhaustion handling
     - Commit: da831d7 Fix. quota exhaustion scored as a candidate that broke the tool
     - Old idea: detect Claude subscription quota at transcript/result-event layer and abort instead of scoring zero.
     - New mapping:
         - class E, but probably at attempt/transcript level, not Call, because quota may produce no botmap call.
     - Existing markers: confirmed "session limit"; "usage limit" / "rate limit" are unconfirmed guesses.

 4. Silent-failure weighting concept
     - Commit: ab5e899 Add. agent-struggle terms to the score
     - Old idea: silent wrong answers should dominate visible failures.
     - New mapping:
         - class C gets heaviest penalty.
         - old silent term becomes class-C penalty logic, now driven by probes/subtypes rather than brittle stderr matching.

 5. Completion gate / effort terms
     - Old tests around “giving up must not beat answering”, wasted commands, path length, recovery.
     - New mapping:
         - useful test shape for score.py: effort must not reward no-answer attempts.
         - class D degenerate can reuse path/waste proportional scoring ideas.

 ### Useful but no longer central

 - Noise-floor work (f6a7bd0, 0df3068, e039e09, 60d5de8) is evidence for why the old scorer/question bank saturated. New plan explicitly expects class C detection may restore headroom, so this becomes background
   context, not implementation direction.
 - Whole-repo GEPA background (1ee5bd2) is superseded by the evaluator-first plan; do not merge into new work unless orchestrator decides.

 What Arm C should implement after contract.py lands

 1. autoresearch/agenteval/taxonomy.py
     - classify(call, probes) -> CallVerdict
     - Use contract.derive_class(...); do not compute/store class independently.
     - Implement axes:
         - outcome: ok | empty | error | degenerate
         - blame: tool | agent | environment
         - recovery: guided | unguided | n/a
     - Class C subtypes from probe evidence:
         - c-vocabulary
         - c-wrong-column
         - c-wrong-type
         - c-dropped-input
         - c-truncated
         - c-wrong-entity
         - c-unknown
     - Move old network/quota concepts into class E handling.

 2. autoresearch/agenteval/score.py
     - Class-weighted scoring.
     - Drop E from scoring.
     - Record/report F but do not charge it to tool.
     - B near-free and counts as recovery.
     - C dominates.
     - Leave weights as named constants with TODO; no tuning before phase 5.

 3. Prove class-B fix using Arm A’s count-zero-hint
     - Under new scorer, hint candidate must score better than baseline.
     - Specifically guard against the old inversion where diagnostics made the candidate worse.

 Validation strategy

 No model/API quota; all local/unit/recorded-data only until orchestrator authorizes otherwise.

 Tests to build/adapt:

 - Contract compatibility once available:
     - classifier returns CallVerdict
     - class is derived through contract.derive_class
     - disagreeing stored class is rejected by contract validator, not trusted.
 - Class derivation table:
     - A: error + unguided
     - B: error + guided
     - C: empty + unguided
     - D: degenerate
     - E: blame=environment
     - F: blame=agent
 - B regression:
     - “Did you mean” / near-match hint is B, not C/A.
     - hinted candidate scores better than silent zero baseline.
     - helpful hint is not double-charged as both failure and wasted path.
 - E regression:
     - network traceback markers classify as environment, not tool traceback.
     - quota transcript produces environment/unmeasurable handling and no candidate zero.
 - C subtype tests:
     - use Arm B probe fixtures once probe.py exists.
     - if no conclusive probe: c-unknown, never clean.
 - Scoring tests:
     - E dropped.
     - F recorded not charged.
     - C worse than several B/A-style visible recoverable failures.
     - no-answer/give-up cannot beat completed answer.

 Hazards

 - Do not blindly merge old branch. Old scorer uses labels and old score.py; new plan requires agenteval/ contract and axes.
 - Quota is probably transcript-level, not call-level. Need contract/orchestrator guidance on where attempt-level class E lives.
 - Network marker false positives. Old implementation used deliberately specific strings; keep that caution.
 - Class C must be probe-driven. Old 0 rows + categories.primary heuristic is too narrow and risks recreating invisible failures.
 - Weights must not be tuned now. Plan says named constants with TODO until class distribution is observed.
 - No component work before contract.py. Current checkout confirms contract is not present yet.
 - No eval/model spend. Validation must stay local/recorded-data-only until gate passes.

 Questions for Priyanga / orchestrator

 1. For quota exhaustion: should Arm C model it as an attempt-level class E outside CallVerdict, or should contract.py expose an attempt verdict as well?
 2. Should taxonomy own only per-call classification, with agent-side class F supplied by Arm A later, or should taxonomy.py also expose helpers for F once Arm A detects ignored hints?
 3. For class B, should outcome remain error even when old botmap exits 0 but emits “Did you mean” on stderr, or should taxonomy.py normalize that as an effective refused/guided outcome?
 4. Which old Arm C tests should be ported first: B inversion, network E, quota E, or scoring gates?
 5. Should old network_failure markers be accepted as-is initially, or should Priyanga review the marker list before they enter the shared evaluator?

─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
~/nilenso/ai-playground/autoresearch (feat/autoresearch)
↑55k ↓3.0k R211k CH93.8% $0.470 (sub) 19.3%/272k (auto)                                                                                                                               (openai-codex) gpt-5.5 • medium

>herdr agent list 2>&1 | python3 -c 'import sys,json; d=json.load(sys.stdin); [print(a.get("name"), a.get("agent_status"), a.get("pane_id"), a.get("tab_id")) for a in d["result"]["agents"] if a.get("name","").startswith("pi-arm")]'

pi-arm-a working w2:p1K w2:t1A
pi-arm-b working w2:p1M w2:t1B
pi-arm-c working w2:p1N w2:t1C

Polled all three arms. All returned READY reports. No arm is editing or spending quota.

Decisions needed from you

1. Phase 0a validation spend

After I add --setting-sources project to autoresearch/runner.py, may Arm B / I spend two cheap Claude probe calls to verify:

project-scoped botmap skill is visible
personal/global skills are not visible
a normal question still completes

Options:

A. Yes, spend the two probes
B. No, only do static/unit validation for now

2. Record-v2 clean calls

For record-v2.json, failures have classes A–F. What should clean calls store?

Options:

A. "class": null
B. omit "class" for clean calls
C. use "class": "clean" even though plan says A–F

3. Arm A fixture sources

May Arm A use old untracked Arm A notes as sabotage fixture evidence?

Path:

Options:

A. Yes, use them as evidence sources
B. Use only committed autoresearch artifacts
C. First copy/preserve them into autoresearch before using

4. C1 `count-zero-hint` candidate identity

Future paired experiments need one exact candidate.

Options:

A. Use measured commit 99d993f
B. Use branch head 9a2496d — has post-review fix but was not remeasured
C. Rebuild fresh against the new evaluator contract

5. Class F ignored-hint window

How strict should ignored-hint detection be?

Options:

A. strict: hint at call N, not used at N+1
B. richer: record ignored for next K calls and eventual use
C. both: strict boolean plus richer detail

6. Quota exhaustion representation

Quota failures may happen with no botmap call.

Options:

A. attempt-level class E outside CallVerdict
B. extend contract with attempt verdict
C. force into a synthetic call verdict

7. Class B for exit-0 hints

If botmap exits 0 but prints “did you mean” / recovery guidance, should taxonomy normalize it as guided failure?

Options:

A. yes: treat as error + guided ⇒ Class B
B. no: only nonzero exits can be Class B
C. distinguish as its own guided-empty shape but derive to B

Non-decision status

Dirty editing-in-progress/: still 67 tracked deletions. I have not touched it.
Global botmap skill remains disabled intentionally.
Pi subagent tool is broken, but Herdr Pi tabs are working:
- pi-arm-a
- pi-arm-b
- pi-arm-c

Once you answer the blocking decisions, I’ll relay them to the arms and proceed with Phase 0a + contract.py.

for the question one go with the option A and verify which is pending spend the two props and verify for option two sorry for question number two record V2 clean calls let the schema say use class equal to clean or actually no use class equal to null use option A for question number two question number three fix your source for question three first copy and preserve them to auto research before using and then use the old untracked amenes as support as fixture evidence question number four I don't understand the question number four we can discuss it further going back to question number five how strict should they ignore hint detection be strict hint all colon not used for option C for option quest number 5 let it have the rich details six quarter exhaustion representation quota failures may happen with no board map call attempt level class the outside call with excellent contract with attempt verdict yeah extend contract with attempt verdict option b class question number seven class b for exit zero hints if bought my prince did you mean or recurring hints should taxon be normalized as guided figure see when it prints did you mean in the night the in the next iteration agent should be able to use this hint and recover itself if it has not done it then it's a failure like error and there was a guided but it failed still you know keep path

>herdr agent prompt pi-arm-a "Decisions from Priyanga/orchestrator:\n\n1. Phase 0a validation: approved to spend the two cheap Claude probe calls after the code change.\n2. record-v2 clean calls: use JSON class: null.\n3. Fixture sources: first copy/preserve old untracked Arm A notes into autoresearch, then old notes may be used as supporting fixture evidence.\n4. C1 candidate identity is NOT decided; Priyanga does not understand the question yet. Do not act on C1 identity until discussed further.\n5. Ignored-hint detection: use option C — strict boolean plus richer details/window.\n6. Quota failures: extend contract with attempt verdict; quota can be attempt-level class E outside per-call CallVerdict.\n7. Exit-0 did-you-mean/recovery hints: keep the recovery path. Treat guidance as something the agent should be able to use in the next iteration; if the agent does not recover, record that failure path (guided signal + agent-side failure detail), do not flatten it away.\n\nContinue to wait for contract.py before component edits. You may refine your readiness notes if this changes them; do not edit source files yet." --wait --until idle --timeout 5000 || true

{"error":{"code":"timeout","message":"timed out waiting for agent status"},"id":"cli:agent:prompt"}

>herdr agent prompt pi-arm-b "Decisions from Priyanga/orchestrator:\n\n1. Phase 0a validation: approved to spend the two cheap Claude probe calls after the code change.\n2. record-v2 clean calls: use JSON class: null.\n3. Fixture sources: first copy/preserve old untracked Arm A notes into autoresearch, then old notes may be used as supporting fixture evidence.\n4. C1 candidate identity is NOT decided; Priyanga does not understand the question yet. Do not act on C1 identity until discussed further.\n5. Ignored-hint detection: use option C — strict boolean plus richer details/window.\n6. Quota failures: extend contract with attempt verdict; quota can be attempt-level class E outside per-call CallVerdict.\n7. Exit-0 did-you-mean/recovery hints: keep the recovery path. Treat guidance as something the agent should be able to use in the next iteration; if the agent does not recover, record that failure path (guided signal + agent-side failure detail), do not flatten it away.\n\nParent/orchestrator will start Phase 0a + contract.py unless told otherwise. Do not edit source files yet." --wait --until idle --timeout 5000 || true

{"error":{"code":"timeout","message":"timed out waiting for agent status"},"id":"cli:agent:prompt"}

>herdr agent prompt pi-arm-c "Decisions from Priyanga/orchestrator:\n\n1. Phase 0a validation: approved to spend the two cheap Claude probe calls after the code change.\n2. record-v2 clean calls: use JSON class: null.\n3. Fixture sources: first copy/preserve old untracked Arm A notes into autoresearch, then old notes may be used as supporting fixture evidence.\n4. C1 candidate identity is NOT decided; Priyanga does not understand the question yet. Do not act on C1 identity until discussed further.\n5. Ignored-hint detection: use option C — strict boolean plus richer details/window.\n6. Quota failures: extend contract with attempt verdict; quota can be attempt-level class E outside per-call CallVerdict.\n7. Exit-0 did-you-mean/recovery hints: keep the recovery path. Treat guidance as something the agent should be able to use in the next iteration; if the agent does not recover, record that failure path (guided signal + agent-side failure detail), do not flatten it away.\n\nContinue to wait for contract.py before component edits. You may refine your readiness notes if this changes them; do not edit source files yet." --wait --until idle --timeout 5000 || true

{"error":{"code":"timeout","message":"timed out waiting for agent status"},"id":"cli:agent:prompt"}

What is in the editing in progress folder? Report me back with it and then I'll decide if I need to keep it or not

>cd /Users/priyangapkini/nilenso/ai-playground && git ls-tree -r --name-only HEAD editing-in-progress | sed -n '1,220p'

editing-in-progress/.gitignore
editing-in-progress/README.md
editing-in-progress/config.example.toml
editing-in-progress/deno.json
editing-in-progress/deno.lock
editing-in-progress/native/LICENSE.webui
editing-in-progress/native/README.md
editing-in-progress/native/aarch64-apple-darwin/libwebui-2.dylib
editing-in-progress/native/aarch64-unknown-linux-gnu/libwebui-2.so
editing-in-progress/native/x86_64-apple-darwin/libwebui-2.dylib
editing-in-progress/native/x86_64-unknown-linux-gnu/libwebui-2.so
editing-in-progress/scripts/build_app.ts
editing-in-progress/scripts/build_ui.ts
editing-in-progress/scripts/check_webui.ts
editing-in-progress/server/app/api.ts
editing-in-progress/server/app/api_test.ts
editing-in-progress/server/app/local_app.ts
editing-in-progress/server/app/local_app_test.ts
editing-in-progress/server/app/local_document.ts
editing-in-progress/server/app/local_document_test.ts
editing-in-progress/server/app/persistence.ts
editing-in-progress/server/app/persistence_test.ts
editing-in-progress/server/cli.ts
editing-in-progress/server/cli_test.ts
editing-in-progress/server/config_file.ts
editing-in-progress/server/config_file_test.ts
editing-in-progress/server/core/config.ts
editing-in-progress/server/core/config_test.ts
editing-in-progress/server/core/protocol.ts
editing-in-progress/server/core/protocol_test.ts
editing-in-progress/server/core/scram.ts
editing-in-progress/server/core/scram_test.ts
editing-in-progress/server/core/uuid.ts
editing-in-progress/server/core/uuid_test.ts
editing-in-progress/server/http/mod.ts
editing-in-progress/server/http/mod_test.ts
editing-in-progress/server/log.ts
editing-in-progress/server/main.ts
editing-in-progress/server/main_test.ts
editing-in-progress/server/network/client.ts
editing-in-progress/server/network/client_test.ts
editing-in-progress/server/network/coordinator.ts
editing-in-progress/server/network/network_e2e_test.ts
editing-in-progress/server/state/room.ts
editing-in-progress/server/state/room_test.ts
editing-in-progress/server/state/storage.ts
editing-in-progress/server/state/storage_test.ts
editing-in-progress/server/window.ts
editing-in-progress/server/window_test.ts
editing-in-progress/ui/index.html
editing-in-progress/ui/src/automerge_doc.ts
editing-in-progress/ui/src/automerge_doc_test.ts
editing-in-progress/ui/src/bridge.ts
editing-in-progress/ui/src/bridge_test.ts
editing-in-progress/ui/src/index.tsx
editing-in-progress/ui/src/state.ts
editing-in-progress/ui/src/state_test.ts
editing-in-progress/ui/src/style.css
editing-in-progress/ui/src/test_support.ts
editing-in-progress/vendor/deno-webui/LICENSE
editing-in-progress/vendor/deno-webui/deno.json
editing-in-progress/vendor/deno-webui/deps.ts
editing-in-progress/vendor/deno-webui/mod.ts
editing-in-progress/vendor/deno-webui/src/lib.ts
editing-in-progress/vendor/deno-webui/src/types.ts
editing-in-progress/vendor/deno-webui/src/utils.ts
editing-in-progress/vendor/deno-webui/src/webui.ts

>cd /Users/priyangapkini/nilenso/ai-playground && git show HEAD:editing-in-progress/README.md 2>/dev/null | sed -n '1,220p'

# Editing in Progress

A local-first collaborative Markdown editor implemented entirely in
Deno/TypeScript. Deno-WebUI opens the loopback UI in a native WebView window,
with the system default browser as a macOS fallback.

## Architecture

- `server/` contains the Deno CLI, HTTP/WebSocket transport, SCRAM-SHA-256, room
  policy, Automerge document handling, local persistence, and recovery.
- `ui/` contains the React 19 + MDXEditor + Automerge interface.
- `server/window.ts` opens the authenticated loopback URL through the pinned
  Deno-WebUI binding. It does not read documents or collaboration traffic.
- Remote collaboration is always coordinator-mediated over the `collab.v1`
  WebSocket protocol. Clients never connect directly to one another.

Each installation owns one writable current document. Online peer documents can
be selected and viewed read-only. Owner updates are pushed live to existing
viewers.

## Requirements

- Deno **2.9.4** to build and test
- Linux: the GTK WebView runtime required by WebUI
- macOS: WKWebView, or a default browser such as Safari as fallback

The installed public command contains the Deno runtime, TypeScript application,
and bundled UI. A checksummed WebUI native library is shipped beside it. An
installed user does not need Deno, Zig, or network access on first launch.

## Build and test

```sh
deno task check
deno task test
deno task build
deno task check:webui
```

`deno task build` bundles the UI, verifies the vendored native library, and
compiles this host-specific package:

```text
dist/
├── editing-in-progress
└── lib/libwebui-2.so       # Linux
```

The macOS package contains `lib/libwebui-2.dylib` instead. Distribute the whole
directory without separating the executable from `lib/`. The application loads
the sidecar by a path relative to its executable. It never downloads native code
at runtime. `EIP_WEBUI_LIBRARY_PATH` is available as a development override.

Cross-compile a supported release package by setting `EIP_TARGET`:

```sh
EIP_TARGET=aarch64-apple-darwin deno task build
```

Supported targets are Linux and macOS on x86-64 and ARM64. Explicit-target
outputs are written beneath `dist/<target>/`.

GitHub Actions runs formatting, type checks, tests, and native-sidecar
initialization, then builds all four supported targets. Each workflow run
publishes a `editing-in-progress-<target>` artifact containing the executable,
its required `lib/` sidecar, documentation, configuration example, and an
archive SHA-256 file. Install or distribute the complete extracted directory.

## Run modes

After building, run the public command:

```sh
dist/editing-in-progress
dist/editing-in-progress serve
dist/editing-in-progress edit
dist/editing-in-progress edit --serve
```

- With no arguments, the command opens the editor.
- Only one editor process may use an installation at a time. A second launch
  exits with an error instead of connecting with the same collaboration
  identity.
- `serve` runs the in-memory room coordinator.
- `edit` runs the local application service, connects to the configured
  coordinator, and opens the native window.
- `edit --serve` starts both in one Deno process.

For source-level development, the equivalent entry point is `deno task app`.

Connection diagnostics are written to stdout/stderr with `client`, `editor`, and
`coordinator` scopes. Run the editor and coordinator from a terminal to see
WebSocket close codes and timings, retry delays, SCRAM handshake progress,
request timeouts, and protocol failures. When a WebSocket transport fails, the
client also reports DNS results and performs a rate-limited HTTP/TLS probe of
the same endpoint so certificate, TLS, proxy, and routing failures are visible
even when the WebSocket API supplies no error details. Logs include instance IDs
and document metadata, but never room credentials or document contents.

The coordinator exposes `GET /health` and `/v1` with WebSocket subprotocol
`collab.v1`.

## Configuration

On first run, Deno creates a private `0600` configuration file at:

```text
~/.config/editing-in-progress/config.toml
```

It contains a random installation UUIDv4, 32-byte room secret, SCRAM salt, and
local defaults. The installation UUID must remain unique and stable. To join a
different coordinator, edit the coordinator URL and copy that room's secret,
salt, and iteration count—but keep your own UUID.

`config.example.toml` is a manually editable template. Every credential in the
example is intentionally `[REDACTED]`.

Use `wss://` through a TLS-terminating reverse proxy for any non-loopback
coordinator. Plain `ws://` is accepted only for loopback hosts.

## Local files and recovery

- Open/save operations occur in Deno, never in the browser or coordinator.
- Only a basename such as `notes.md` crosses the collaboration connection;
  absolute paths remain local.
- MRU paths and owner recovery are stored beneath
  `~/.local/share/editing-in-progress/` using bounded, versioned formats and
  atomic private-file replacement.
- Recovery contains only the local owner's Automerge snapshot and dirty/
  unsynchronized flags. It has no fields for secrets, paths, presence, or remote
  documents.
- Remote snapshots remain in memory and cannot be saved through the editor UI.

## Security and room policy

SCRAM-SHA-256 authentication and client verification of the server signature
complete before either side accepts application data. Frames are binary,
versioned, bounded to 16 MiB, and strictly decoded. The coordinator rejects
duplicate active UUID sessions and binds every write to the authenticated owner
UUID.

SCRAM proves possession of the room secret but does **not** encrypt presence,
filenames, or Markdown; TLS remains mandatory outside localhost. A shared room
secret proves room membership, not individual identity: a holder can claim an
offline UUID in protocol v1.

The coordinator keeps all room state in memory. On disconnect, an owner is no
longer available to new viewers. Existing viewers may retain the already-open
document for up to 30 minutes. Reconnection within that interval restores normal
visibility; expiry removes the retained state and tells existing viewers to
close it.

The local UI service binds only to loopback and protects API and event requests
with a fresh random bearer token included in the native-window URL. It does not
enable cross-origin access.

## Dependencies

The TypeScript application pins React, ReactDOM, MDXEditor, and Automerge in
`deno.json`. Deno-WebUI 2.5.15 is vendored under `vendor/deno-webui/` because
upstream's loader downloads mutable nightly binaries at runtime. Compatible
native WebUI snapshots for every supported target are vendored under `native/`,
checksummed during every package build, and documented in `native/README.md`.

>cd /Users/priyangapkini/nilenso/ai-playground && git log --oneline --decorate --max-count=12 -- editing-in-progress

3276e99 Add macOS browser fallback
2bb444f Prevent duplicate editor processes
ada971d Improve coordinator transport diagnostics
592ae8e Add manual coordinator reconnect
8c52131 fix: add collaboration connection diagnostics
ce80ae4 fix: keep Linux browser editor alive
23dafcb fix: capture editor keyboard shortcuts
464aa5d fix: use browser window on Linux
0ef60b9 fix: allow Automerge WebAssembly in editor
18411a4 fix: open editor when command has no arguments
f04a3eb fix(ci): build UI before tests
ad10af9 feat: add collaborative Markdown editor

editing-in-progress/ is a tracked project that is currently deleted from your working tree.

What it is

From its README: Editing in Progress is a local-first collaborative Markdown editor written in Deno/TypeScript.

Main pieces:

server/ — Deno CLI, HTTP/WebSocket transport, SCRAM-SHA-256 auth, room policy, Automerge document handling, persistence/recovery
ui/ — React 19 + MDXEditor + Automerge interface
native/ — vendored WebUI native libraries for macOS/Linux, x86/ARM
vendor/deno-webui/ — vendored Deno-WebUI loader
scripts/ — build/check scripts
config.example.toml, deno.json, deno.lock

It supports:

local editor app
in-memory room coordinator
remote collaboration over WebSocket protocol collab.v1
native WebView window via Deno-WebUI, with macOS browser fallback
packaging self-contained binaries with native sidecar libraries

Current dirty state

The entire directory is missing locally:

Git sees this as:

Recent history

Recent commits touching it:

text

3276e99 Add macOS browser fallback2bb444f Prevent duplicate editor processesada971d Improve coordinator transport diagnostics592ae8e Add manual coordinator reconnect8c52131 fix: add collaboration connection diagnosticsce80ae4 fix: keep Linux browser editor alive23dafcb fix: capture editor keyboard shortcuts464aa5d fix: use browser window on Linux0ef60b9 fix: allow Automerge WebAssembly in editor18411a4 fix: open editor when command has no argumentsf04a3eb fix(ci): build UI before testsad10af9 feat: add collaborative Markdown editor

3276e99 Add macOS browser fallback2bb444f Prevent duplicate editor processesada971d Improve coordinator transport diagnostics592ae8e Add manual coordinator reconnect8c52131 fix: add collaboration connection diagnosticsce80ae4 fix: keep Linux browser editor alive23dafcb fix: capture editor keyboard shortcuts464aa5d fix: use browser window on Linux0ef60b9 fix: allow Automerge WebAssembly in editor18411a4 fix: open editor when command has no argumentsf04a3eb fix(ci): build UI before testsad10af9 feat: add collaborative Markdown editor

So this is not build output or cache; it is a real tracked app in the monorepo.

Decision options:

Keep it: restore with git checkout -- editing-in-progress
Delete it intentionally: leave deletion and later commit removal
Defer: leave dirty for now, and I will avoid touching it while working only in autoresearch/

I think this is the dashboard code Can you check why where this was moved to and all the changes are there you can access it from the here

>cd /Users/priyangapkini/nilenso/ai-playground && find autoresearch/tools/dashboard -maxdepth 4 -type f -print | sort && echo '--- status dashboard ---' && git status --short --untracked-files=all -- autoresearch/tools/dashboard

autoresearch/tools/dashboard/__pycache__/trajectory.cpython-314.pyc
autoresearch/tools/dashboard/dashboard.py
autoresearch/tools/dashboard/README.md
autoresearch/tools/dashboard/trajectory.py
--- status dashboard ---
?? autoresearch/tools/dashboard/lever-history

>cd /Users/priyangapkini/nilenso/ai-playground && echo '--- tracked dashboard files ---' && git ls-files 'autoresearch/tools/dashboard/*' && echo '--- recent dashboard commits ---' && git log --oneline --decorate --max-count=10 -- autoresearch/tools/dashboard

--- tracked dashboard files ---
autoresearch/tools/dashboard/README.md
autoresearch/tools/dashboard/dashboard.py
autoresearch/tools/dashboard/trajectory.py
--- recent dashboard commits ---
57cd1c8 Add. the live experiment dashboard

>curl -s -m 5 http://localhost:8765/ | head -80

<!doctype html><html><head><meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<meta http-equiv="refresh" content="15">
<title>Autoresearch — three arms</title><style>
:root{--bg:#f7f7f8;--panel:#fff;--ink:#16161a;--muted:#6b6b76;--line:#e4e4e9;
--ok:#0a7f5f;--warn:#b25000;--bad:#b3261e;--work:#1a56db;--idle:#6b6b76;
--addbg:#e6f5ec;--addfg:#0a5c3f;--delbg:#fdeaea;--delfg:#8f1d16;--hunkbg:#eef1f6}
@media (prefers-color-scheme:dark){:root:not([data-theme="light"]){
--bg:#131316;--panel:#1c1c21;--ink:#ececf1;--muted:#9a9aa6;--line:#2c2c34;
--ok:#3ddc9a;--warn:#ffab5e;--bad:#ff6b60;--work:#7aa2ff;--idle:#9a9aa6;
--addbg:#102a1e;--addfg:#7ee2b0;--delbg:#331a19;--delfg:#ff9c93;--hunkbg:#22222a}}
:root[data-theme="dark"]{--bg:#131316;--panel:#1c1c21;--ink:#ececf1;--muted:#9a9aa6;
--line:#2c2c34;--ok:#3ddc9a;--warn:#ffab5e;--bad:#ff6b60;--work:#7aa2ff;--idle:#9a9aa6;
--addbg:#102a1e;--addfg:#7ee2b0;--delbg:#331a19;--delfg:#ff9c93;--hunkbg:#22222a}
*{box-sizing:border-box}
body{margin:0;background:var(--bg);color:var(--ink);padding:20px 24px 40px;
font:15px/1.5 ui-sans-serif,-apple-system,"Segoe UI",Roboto,sans-serif}
h1{font-size:19px;margin:0 0 2px}
.sub{color:var(--muted);font-size:13px;margin-bottom:14px}
.tabs{display:flex;gap:4px;flex-wrap:wrap;margin-bottom:18px;border-bottom:1px solid var(--line)}
.tab{padding:7px 13px;font-size:13px;text-decoration:none;color:var(--muted);
border:1px solid transparent;border-bottom:none;border-radius:7px 7px 0 0}
.tab:hover{color:var(--ink)}
.tab.on{background:var(--panel);border-color:var(--line);color:var(--ink);font-weight:600}
.grid{display:grid;gap:14px;grid-template-columns:repeat(auto-fit,minmax(290px,1fr));margin-bottom:16px}
.card{background:var(--panel);border:1px solid var(--line);border-radius:10px;padding:14px 16px}
.card header{display:flex;align-items:center;gap:8px;margin-bottom:6px}
.card h2{font-size:14px;margin:0;flex:1}
.status{font-size:11px;text-transform:uppercase;letter-spacing:.06em;color:var(--muted)}
.dot{width:9px;height:9px;border-radius:50%;background:var(--idle);flex:none}
.working .dot{background:var(--work);animation:pulse 1.6s ease-in-out infinite}
.working .status{color:var(--work)}
.blocked .dot,.gone .dot{background:var(--bad)}
@keyframes pulse{0%,100%{opacity:1}50%{opacity:.35}}
.thesis{color:var(--muted);font-size:12.5px;margin:0 0 10px}
.kv{display:flex;justify-content:space-between;gap:10px;font-size:13px;
padding:3px 0;border-top:1px solid var(--line)}
.kv span{color:var(--muted)} .kv i{color:var(--muted);font-size:12px;font-style:normal}
.work{color:var(--work)}
.ok{color:var(--ok)} .warn{color:var(--warn)} .bad{color:var(--bad)}
a.more{font-size:12px;color:var(--work);text-decoration:none;display:inline-block;margin-top:9px}
table{width:100%;border-collapse:collapse;font-size:13px}
td{padding:4px 0;border-top:1px solid var(--line)}
td:last-child{text-align:right;color:var(--muted)}
pre.term{background:var(--panel);border:1px solid var(--line);border-radius:10px;
padding:12px 14px;overflow-x:auto;font:12px/1.45 ui-monospace,SFMono-Regular,Menlo,monospace;
white-space:pre;margin:0 0 16px;max-height:340px;overflow-y:auto}
details.f{background:var(--panel);border:1px solid var(--line);border-radius:9px;
margin-bottom:9px;overflow:hidden}
details.f>summary{cursor:pointer;padding:9px 13px;font:12.5px ui-monospace,Menlo,monospace;
list-style:none;display:flex;justify-content:space-between;gap:12px}
details.f>summary::-webkit-details-marker{display:none}
details.f>summary:hover{background:var(--hunkbg)}
.code{overflow-x:auto;border-top:1px solid var(--line)}
.l{font:12px/1.45 ui-monospace,SFMono-Regular,Menlo,monospace;white-space:pre;
padding:0 13px;min-width:max-content}
.l.add{background:var(--addbg);color:var(--addfg)}
.l.del{background:var(--delbg);color:var(--delfg)}
.l.hunk{background:var(--hunkbg);color:var(--muted)}
.l.meta{color:var(--muted)}
.pill{font-size:11px;color:var(--muted);white-space:nowrap}
footer{color:var(--muted);font-size:12px;margin-top:20px}
.tree{list-style:none;margin:0;padding:0 0 0 6px}
.tree li{position:relative;padding:0 0 0 26px;margin:0}
.tree li::before{content:"";position:absolute;left:6px;top:0;bottom:0;
border-left:1.5px solid var(--line)}
.tree li:last-child::before{bottom:calc(100% - 20px)}
.tree li::after{content:"";position:absolute;left:6px;top:20px;width:16px;
border-top:1.5px solid var(--line)}
.node{background:var(--panel);border:1px solid var(--line);border-radius:9px;
margin:6px 0;overflow:hidden}
.node>summary{cursor:pointer;padding:9px 12px;list-style:none;display:flex;
align-items:center;gap:10px;flex-wrap:wrap}
.node>summary::-webkit-details-marker{display:none}
.node>summary:hover{background:var(--hunkbg)}
.node.keep{border-left:3px solid var(--ok)}
.node.drop{border-left:3px solid var(--line)}
.node.zero{border-left:3px solid var(--bad)}
.ix{font:11px ui-monospace,Menlo,monospace;color:var(--muted);min-width:34px}
.arrow{font:12px ui-monospace,Menlo,monospace}

>cd /Users/priyangapkini/nilenso/ai-playground && git show --stat --oneline --no-renames 57cd1c8 && echo '--- files in untracked lever-history ---' && find autoresearch/tools/dashboard/lever-history -maxdepth 3 -type f -print 2>/dev/null | sort | sed -n '1,80p' && echo '--- dirs ---' && find autoresearch/tools/dashboard/lever-history -maxdepth 2 -type d -print 2>/dev/null | sort | sed -n '1,80p'

57cd1c8 Add. the live experiment dashboard
 autoresearch/tools/dashboard/README.md     |   40 +
 autoresearch/tools/dashboard/dashboard.py  | 1108 ++++++++++++++++++++++++++++
 autoresearch/tools/dashboard/trajectory.py |  128 ++++
 3 files changed, 1276 insertions(+)
--- files in untracked lever-history ---
--- dirs ---

>cd /Users/priyangapkini/nilenso/ai-playground && git show --name-status --oneline --no-renames 57cd1c8 | sed -n '1,120p'

57cd1c8 Add. the live experiment dashboard
A	autoresearch/tools/dashboard/README.md
A	autoresearch/tools/dashboard/dashboard.py
A	autoresearch/tools/dashboard/trajectory.py

>lsof -nP -iTCP:8765 -sTCP:LISTEN 2>/dev/null || true; echo '--- ps matching dashboard ---'; ps aux | grep -E 'tools/dashboard/dashboard.py|dashboard.py --port 8765' | grep -v grep || true

COMMAND   PID          USER   FD   TYPE             DEVICE SIZE/OFF NODE NAME
Python  60141 priyangapkini    3u  IPv4 0xcdec65c3c1d26bfd      0t0  TCP 127.0.0.1:8765 (LISTEN)
--- ps matching dashboard ---
priyangapkini    60141   0.0  0.2 435298176  25904   ??  SN    4:47PM   0:12.37 /opt/homebrew/Cellar/python@3.14/3.14.7/Frameworks/Python.framework/Versions/3.14/Resources/Python.app/Contents/MacOS/Python dashboard.py --port 8765

I checked. The live dashboard is not editing-in-progress/.

Dashboard location

The dashboard serving http://localhost:8765 is running from:

Process:

Tracked dashboard files:

text

autoresearch/tools/dashboard/README.mdautoresearch/tools/dashboard/dashboard.pyautoresearch/tools/dashboard/trajectory.py

autoresearch/tools/dashboard/README.mdautoresearch/tools/dashboard/dashboard.pyautoresearch/tools/dashboard/trajectory.py

These were added in commit:

That commit added 1,276 lines and did not move files from editing-in-progress/.

Untracked dashboard state

There is one untracked dashboard path:

It is currently just an empty/generated sampler directory. The dashboard README says it snapshots transient GEPA candidate versions there. It is runtime data, not source.

What `editing-in-progress/` is

editing-in-progress/ is a separate tracked Deno/TypeScript collaborative Markdown editor project. It is not the dashboard.

So my read is:

Keep dashboard: already lives under autoresearch/tools/dashboard/
editing-in-progress/: unrelated to dashboard
Its deletion is probably accidental unless you intentionally want to remove that whole editor project.

accidental

>cd /Users/priyangapkini/nilenso/ai-playground && git checkout -- editing-in-progress && git status --short --untracked-files=all | sed -n '1,120p'

?? .DS_Store
?? .claude/worktrees/autoresearch-prompt/
?? .idea/.gitignore
?? .idea/.name
?? .idea/ai-playground.iml
?? .idea/autoresearch.iml
?? .idea/dictionaries/project.xml
?? .idea/inspectionProfiles/profiles_settings.xml
?? .idea/modules.xml
?? .idea/sift.iml
?? .idea/vcs.xml
?? .vscode/settings.json
?? autoresearch/tools/dashboard/lever-history

Restored editing-in-progress/.

Current dirty state now only has untracked files/directories:

text

.DS_Store.claude/worktrees/autoresearch-prompt/.idea/.vscode/settings.jsonautoresearch/tools/dashboard/lever-history

.DS_Store.claude/worktrees/autoresearch-prompt/.idea/.vscode/settings.jsonautoresearch/tools/dashboard/lever-history

No tracked deletions remain.

resume on the plan

>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && find tests autoresearch -maxdepth 3 -type f | sort | sed -n '1,200p' && echo '--- pyproject ---' && sed -n '1,180p' pyproject.toml

autoresearch/__init__.py
autoresearch/__pycache__/__init__.cpython-311.pyc
autoresearch/__pycache__/__init__.cpython-314.pyc
autoresearch/__pycache__/baseline.cpython-311.pyc
autoresearch/__pycache__/baseline.cpython-314.pyc
autoresearch/__pycache__/blocked.cpython-311.pyc
autoresearch/__pycache__/config.cpython-311.pyc
autoresearch/__pycache__/config.cpython-314.pyc
autoresearch/__pycache__/credits.cpython-311.pyc
autoresearch/__pycache__/credits.cpython-314.pyc
autoresearch/__pycache__/evaluator.cpython-311.pyc
autoresearch/__pycache__/optimize.cpython-311.pyc
autoresearch/__pycache__/orproxy.cpython-311.pyc
autoresearch/__pycache__/proposer.cpython-311.pyc
autoresearch/__pycache__/questions.cpython-311.pyc
autoresearch/__pycache__/questions.cpython-314.pyc
autoresearch/__pycache__/runner.cpython-311.pyc
autoresearch/__pycache__/runner.cpython-314.pyc
autoresearch/__pycache__/score.cpython-311.pyc
autoresearch/__pycache__/smoke.cpython-311.pyc
autoresearch/__pycache__/taxonomy.cpython-311.pyc
autoresearch/__pycache__/trace.cpython-311.pyc
autoresearch/__pycache__/worktree.cpython-311.pyc
autoresearch/.pi-subagents/artifacts/5397a165_researcher_0_input.md
autoresearch/.pi-subagents/artifacts/5397a165_researcher_0_meta.json
autoresearch/.pi-subagents/artifacts/5397a165_researcher_0_output.md
autoresearch/.pi-subagents/artifacts/5397a165_researcher_0_transcript.jsonl
autoresearch/baseline.py
autoresearch/blocked.py
autoresearch/config.py
autoresearch/credits.py
autoresearch/evaluator.py
autoresearch/optimize.py
autoresearch/orproxy.py
autoresearch/proposer.py
autoresearch/questions.py
autoresearch/runner.py
autoresearch/score.py
autoresearch/shim/botmap
autoresearch/smoke.py
autoresearch/taxonomy.py
autoresearch/trace.py
autoresearch/worktree.py
tests/__pycache__/test_scoring.cpython-311-pytest-9.1.1.pyc
tests/test_scoring.py
--- pyproject ---
[project]
name = "autoresearch"
version = "0.1.0"
description = "GEPA-driven loop that evolves the botmap CLI toward being easy for an agent to drive."
requires-python = ">=3.11"
dependencies = [
    "gepa>=0.0.1",
    "litellm>=1.0",
    "tenacity>=8.0",
    "pyyaml>=6.0",
]

[dependency-groups]
dev = ["pytest>=8.0"]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["autoresearch"]

[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-q --strict-markers -ra"

>herdr agent list 2>&1 | python3 -c 'import sys,json; d=json.load(sys.stdin); [print(a.get("name"), a.get("agent_status"), a.get("pane_id"), a.get("tab_id")) for a in d["result"]["agents"] if a.get("name","").startswith("pi-arm")]'

pi-arm-a working w2:p1K w2:t1A
pi-arm-b working w2:p1M w2:t1B
pi-arm-c working w2:p1N w2:t1C

>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && find experiments -maxdepth 3 -type f | sort | grep -E 'findings|arm-a|failure_dataset|REPORT' | sed -n '1,120p' && ls -la experiments/arm-a

experiments/arm-a/AUTORESEARCH-REPORT.md
experiments/arm-a/HANDOVER.md
experiments/arm-a/notes/C1-MEASUREMENT-CAVEAT.md
experiments/arm-a/notes/cross-score-plan.md
experiments/arm-a/notes/findings.md
experiments/arm-a/notes/minibatch.yaml
experiments/arm-a/notes/round1-candidates.md
experiments/arm-a/notes/round1-mechanism-results.md
experiments/arm-a/notes/run_round1.sh
experiments/arm-a/notes/sync-candidates.sh
experiments/arm-a/README.md
experiments/artifacts/findings.md
experiments/failure_dataset.yaml
total 56
drwxr-xr-x@  6 priyangapkini  staff   192 21 Aug 16:40 .
drwxr-xr-x@ 12 priyangapkini  staff   384 21 Aug 16:40 ..
-rw-r--r--@  1 priyangapkini  staff  8273 21 Aug 16:37 AUTORESEARCH-REPORT.md
-rw-r--r--@  1 priyangapkini  staff  8945 21 Aug 16:40 HANDOVER.md
drwxr-xr-x@ 10 priyangapkini  staff   320 21 Aug 16:37 notes
-rw-r--r--@  1 priyangapkini  staff  1284 21 Aug 16:37 README.md

>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && uv run pytest

........................................................................ [ 80%]
.................                                                        [100%]
89 passed in 0.21s

>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && cmp -s experiments/arm-a/notes/findings.md /Users/priyangapkini/workspace/ar-a/botmap/notes/findings.md && echo 'arm-a findings preserved: identical' || echo 'arm-a findings differ or missing'

git status --short -- autoresearch/runner.py autoresearch/agenteval tests/test_contract.py experiments/arm-a/notes/findings.md

arm-a findings preserved: identical
 M autoresearch/runner.py
?? autoresearch/agenteval/
?? tests/test_contract.py

>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && grep -R "agent_path\|OPENROUTER_MODEL\|orproxy" -n autoresearch | sed -n '1,160p'

autoresearch/optimize.py:247:            "agent_path": config.agent_path(),
autoresearch/runner.py:75:        model = (config.OPENROUTER_MODEL if config.agent_path() == "openrouter"
autoresearch/config.py:243:OPENROUTER_MODEL = "anthropic/claude-sonnet-5"
autoresearch/config.py:246:def agent_path() -> str:
autoresearch/config.py:261:    returning four different hosts in four calls. See orproxy.py.
autoresearch/baseline.py:121:                "agent_path": config.agent_path(),
Binary file autoresearch/__pycache__/config.cpython-311.pyc matches
Binary file autoresearch/__pycache__/optimize.cpython-311.pyc matches
Binary file autoresearch/__pycache__/baseline.cpython-311.pyc matches
Binary file autoresearch/__pycache__/runner.cpython-311.pyc matches
Binary file autoresearch/__pycache__/orproxy.cpython-311.pyc matches

Summary

Dirty editing-in-progress state

Why the botmap skill was disabled

Decisions needed before I proceed

Decisions needed from you

1. Phase 0a validation spend

2. Record-v2 clean calls

3. Arm A fixture sources

4. C1 count-zero-hint candidate identity

5. Class F ignored-hint window

6. Quota exhaustion representation

7. Class B for exit-0 hints

Non-decision status

What it is

Current dirty state

Recent history

Dashboard location

Untracked dashboard state

What editing-in-progress/ is

Dirty `editing-in-progress` state

4. C1 `count-zero-hint` candidate identity

What `editing-in-progress/` is