Synthesized CLI agent-friendly principles
Public
Synthesized CLI agent-friendly principles
Agent
Pi
Model
GPT-5.5
Started
Aug 21, 12:32 PM
Messages294
Downloads0
Workspace
Summarized experimental results in insights document.
BuildSynthesized core principles from multiple experiment sources.
BuildYou 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:
ARM A old workspace:
Important current facts:
Your immediate task:
When done, say READY and provide the report in this session.
Deciding to use read method
Planning skill reading and workspace review
Inspecting handover files and paths
>find /Users/priyangapkini/workspace/ar-a/botmap -maxdepth 4 \( -name 'failure_dataset.yaml' -o -name 'findings.md' -o -name 'sync-candidates.sh' -o -name 'record.json' \) | sort | head -200/Users/priyangapkini/workspace/ar-a/botmap/notes/findings.md
/Users/priyangapkini/workspace/ar-a/botmap/notes/sync-candidates.sh>find /Users/priyangapkini/nilenso/ai-playground/autoresearch -maxdepth 3 -type f | sort | head -200/Users/priyangapkini/nilenso/ai-playground/autoresearch/.env
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.gitignore
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.pytest_cache/.gitignore
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.pytest_cache/CACHEDIR.TAG
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.pytest_cache/README.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/.gitignore
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/.lock
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/activate
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/activate_this.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/activate.bat
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/activate.csh
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/activate.fish
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/activate.nu
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/activate.ps1
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/activate.xsh
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/deactivate.bat
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/distro
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/dotenv
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/hf
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/httpx
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/huggingface-cli
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/idna
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/jsonschema
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/lite
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/litellm
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/litellm-proxy
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/normalizer
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/py.test
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/pydoc.bat
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/pygmentize
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/pytest
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/tiny-agents
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/bin/tqdm
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/CACHEDIR.TAG
/Users/priyangapkini/nilenso/ai-playground/autoresearch/.venv/pyvenv.cfg
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch.code-workspace
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__init__.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/__init__.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/__init__.cpython-314.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/baseline.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/baseline.cpython-314.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/blocked.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/config.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/config.cpython-314.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/credits.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/credits.cpython-314.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/evaluator.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/optimize.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/orproxy.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/proposer.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/questions.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/questions.cpython-314.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/runner.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/runner.cpython-314.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/score.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/smoke.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/taxonomy.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/trace.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/__pycache__/worktree.cpython-311.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/baseline.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/blocked.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/config.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/credits.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/evaluator.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/optimize.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/orproxy.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/proposer.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/questions.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/runner.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/score.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/shim/botmap
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/smoke.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/taxonomy.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/trace.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/worktree.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/agent-failure-taxonomy.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/report/case-study.html
/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/report/README.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/wiki/01-glossary.html
/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/wiki/02-domain-model.html
/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/wiki/03-system-architecture.html
/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/wiki/05-repository-map.html
/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/wiki/index.html
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/arm-a/AUTORESEARCH-REPORT.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/arm-a/HANDOVER.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/arm-a/README.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/arm-b/HANDOVER.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/arm-c/HANDOVER.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/analyze.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/answer-quality-analysis.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/findings.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/null-proposal.json
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/overture_categories.csv
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/probe.log
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/prompt.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/questions.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/runner.out
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/baselines/3009509.INCOMPLETE-5of30.json
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/baselines/3009509.json
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/baselines/3009509.release-2026-07-22.0.STALE.json
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/baselines/INCOMPLETE-WARNING.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/baselines/README-STALE.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/failure_dataset.yaml
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/logs/run-20260818-134132.log
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/logs/run-20260818-134212.log
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/logs/run-20260818-161413.log
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/logs/run-20260818-161605.log
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/logs/sub-20260819-144029.log
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/proposals.json
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/questions.yaml
/Users/priyangapkini/nilenso/ai-playground/autoresearch/pyproject.toml
/Users/priyangapkini/nilenso/ai-playground/autoresearch/README.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/tests/__pycache__/test_scoring.cpython-311-pytest-9.1.1.pyc
/Users/priyangapkini/nilenso/ai-playground/autoresearch/tests/test_scoring.py
/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>find /Users/priyangapkini/nilenso/ai-playground/autoresearch -path '*failure_dataset.yaml' -o -path '*agenteval*' | sort/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/failure_dataset.yamlReading failure dataset and report
Confirming final summary scope and readiness
READY
I have read:
docs/plan.mdexperiments/arm-a/HANDOVER.mdautoresearch-three-arm-experiment.mddecisions-are-the-users.mdbotmap-cache-is-shared-and-unpinned.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/Users/priyangapkini/workspace/ar-a/botmap/.claude/skills/autoresearch-verify/SKILL.md/Users/priyangapkini/.claude/botmap-skill-DISABLED-BY-ARM-A/WHY-MOVED.txtI 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.
Blocked until autoresearch/agenteval/contract.py is merged by Arm B.
Once unblocked, Arm A owns:
autoresearch/agenteval/sabotage.py
c-vocabularyc-wrong-columnc-wrong-typec-dropped-inputc-truncatedc-wrong-entityc-unknownexperiments/failure_dataset.yaml/Users/priyangapkini/workspace/ar-a/botmap/notes/findings.mdbaseline-noise-run1-3009509 once orchestrator identifies path.autoresearch/agenteval/explain.py
Class F / agent-side detection
docs/agent-friendly-cli.md evidence entries
Old repo: /Users/priyangapkini/workspace/ar-a/botmap
Important branches/commits:
cand/count-zero-hint
99d993f9a2496d, post-review fix, not re-measuredcand/skill-bus-station
6c04003botmap/data/skill.mdcand/count-flag-parity
05ef72c--category / --class shortcuts on countarm-a-base
notes/sync-candidates.sh guard and verify-skill rewrite./Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/failure_dataset.yaml
/Users/priyangapkini/workspace/ar-a/botmap/notes/findings.md
notes/ is excluded and untracked in that working tree./Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/artifacts/findings.md
/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/proposals.json
failure_dataset.yaml.Decision authority
Global botmap skill
~/.claude/botmap-skill-DISABLED-BY-ARM-Abotmap/data/skill.md, making prompt-lever experiments void.No component work before contract
contract.py is merged.sabotage.py, explain.py, or class-F code.Do not touch botmap/evals/
autoresearch/agenteval/.Cache is shared and unpinned
~/.cache/botmap/divisions-index-<release>.parquet is user-level.Quota/network failures contaminate measurements
Old C1 branch ambiguity
99d993f.9a2496d has an unverified post-review fix.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/?
For C1 count-zero-hint, which commit should future paired experiments treat as the candidate?
99d993f9a2496dFor 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”?
Should Arm A prepare docs/agent-friendly-cli.md hypothesis stubs before paired runs, or wait until AFTER traces exist?
Where are the 60 retained attempts from baseline-noise-run1-3009509 located, and should Arm A use them as fixture sources once unblocked?
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.
Clarifying note preservation approach
READY — updated with decisions.
Phase 0a validation
Clean call representation
record-v2, clean calls use JSON:
"class": nullOld Arm A notes
/Users/priyangapkini/workspace/ar-a/botmap/notes/findings.mdC1 candidate identity
99d993f, 9a2496d, or a fresh rebuild until discussed further.Ignored-hint / class F detection
Quota failures
CallVerdict.Exit-0 did you mean / recovery hints
No component edits until autoresearch/agenteval/contract.py is merged.
Once unblocked, Arm A owns:
autoresearch/agenteval/sabotage.pyautoresearch/agenteval/explain.pydocs/agent-friendly-cli.md entries after measurements exist.Contract is now landed in the shared checkout (not committed yet):
You are unblocked for Arm A Phase 2 work. You may edit ONLY these files unless you ask first:
Do not touch botmap/evals. Do not launch evals or spend model/API quota. Use recorded/static fixtures only. Follow docs/plan.md exactly. Use contract types/functions; clean class is null; quota is attempt-level verdict; ignored-hint detection should provide strict boolean plus rich detail/window; exit-0 did-you-mean should preserve guided recovery path and agent-side non-use detail.
Goal for this pass: implement minimal but real Arm A components and tests from recorded traces/failure_dataset. If blocked by missing taxonomy/probe APIs, create small pure functions and fixtures that can be integrated later, and state the integration contract. Report READY or BLOCKED with tests run and decisions needed.
Planning contract inspection
>ls autoresearch/agenteval tests | sed -n '1,120p'autoresearch/agenteval:
__init__.py
__pycache__
contract.py
tests:
__pycache__
test_contract.py
test_scoring.pyPlanning file creation and trace inspection
>find experiments -path '*record.json' -o -path '*record-v2.json' | head -20(no output)>find . -maxdepth 4 -type d -name '*baseline-noise*' -o -name '*3009509*' | head -50./experiments/baselines/3009509.json
./experiments/baselines/3009509.release-2026-07-22.0.STALE.json
./experiments/baselines/3009509.INCOMPLETE-5of30.json
./experiments/runs/baseline-noise-run1-3009509
./experiments/runs/tool-3009509-1787040743
./experiments/runs/tool-3009509-1787130629
./experiments/runs/tool-3009509-1787049966
./experiments/runs/prompt-3009509-1787215716
./experiments/runs/tool-3009509-1787049853
./experiments/runs/calibration-3009509>find experiments/runs/baseline-noise-run1-3009509 -maxdepth 3 -type f | head -50experiments/runs/baseline-noise-run1-3009509/attempts/basic-category-rollup__r2/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/basic-category-rollup__r2/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/basic-category-rollup__r2/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/residential-share-cambridge__r2/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/residential-share-cambridge__r2/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/residential-share-cambridge__r2/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/bus-stops-with-coffee__r2/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/bus-stops-with-coffee__r2/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/bus-stops-with-coffee__r2/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/brooklyn-every-building__r2/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/brooklyn-every-building__r2/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/brooklyn-every-building__r2/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/reykjavik-diacritic__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/reykjavik-diacritic__r1/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/reykjavik-diacritic__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/hardware-near-bikepaths__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/hardware-near-bikepaths__r1/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/hardware-near-bikepaths__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/bike-parking-coverage__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/bike-parking-coverage__r1/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/bike-parking-coverage__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/ev-charging-gap__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/ev-charging-gap__r1/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/ev-charging-gap__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/unsupported-hours-and-ratings__r2/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/unsupported-hours-and-ratings__r2/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/bbox-cambridge__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/bbox-cambridge__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/hotel-density-two-countries__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/hotel-density-two-countries__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/tall-buildings-cambridge__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/tall-buildings-cambridge__r1/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/tall-buildings-cambridge__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/beach-accessibility-malta__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/beach-accessibility-malta__r1/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/beach-accessibility-malta__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/tattoo-category-discovery__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/tattoo-category-discovery__r1/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/tattoo-category-discovery__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/building-parts-detail__r1/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/building-parts-detail__r1/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/building-parts-detail__r1/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/asian-restaurants-rollup__r2/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/asian-restaurants-rollup__r2/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/asian-restaurants-rollup__r2/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/junction-density__r2/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/junction-density__r2/commands.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/junction-density__r2/claude-stderr.log
experiments/runs/baseline-noise-run1-3009509/attempts/malta-highways-absent-class__r2/transcript.jsonl
experiments/runs/baseline-noise-run1-3009509/attempts/malta-highways-absent-class__r2/commands.jsonlInspecting command formats
Designing sabotage validation module
Planning explain function with guidance
>test -f experiments/arm-a/notes/findings.md && cmp -s experiments/arm-a/notes/findings.md /Users/priyangapkini/workspace/ar-a/botmap/notes/findings.md && echo preserved-identical || echo missing-or-differentpreserved-identicalRefactoring helper placement to avoid NameError
Running initial tests
Running tests
>uv run pytest tests/test_agent_side.py tests/test_explain.py tests/test_sabotage.py tests/test_contract.py.....F....... [100%]
=================================== FAILURES ===================================
___________ test_reference_fixture_verdicts_pass_contract_validation ___________
def test_reference_fixture_verdicts_pass_contract_validation():
for fixture in FIXTURES:
raw = {
"schema": "agenteval/2",
"question_id": fixture.id,
"repeat": 1,
"calls": [fixture.call],
"agent_side": [],
"tools_used": {},
"botmap_calls": 1 if fixture.call["argv"] else 0,
"answer": {"text": "fixture", "verified": None},
}
> assert validate(raw) == []
E AssertionError: assert ['calls[0].pr...st be a list'] == []
E
E Left contains one more item: 'calls[0].probes must be a list'
E Use -v to get more diff
tests/test_sabotage.py:25: AssertionError
=========================== short test summary info ============================
FAILED tests/test_sabotage.py::test_reference_fixture_verdicts_pass_contract_validation
1 failed, 12 passed in 0.03s
Command exited with code 1Converting probes to list in _call
>uv run pytest tests/test_agent_side.py tests/test_explain.py tests/test_sabotage.py tests/test_contract.py.....F....... [100%]
=================================== FAILURES ===================================
___________ test_reference_fixture_verdicts_pass_contract_validation ___________
def test_reference_fixture_verdicts_pass_contract_validation():
for fixture in FIXTURES:
raw = {
"schema": "agenteval/2",
"question_id": fixture.id,
"repeat": 1,
"calls": [fixture.call],
"agent_side": [],
"tools_used": {},
"botmap_calls": 1 if fixture.call["argv"] else 0,
"answer": {"text": "fixture", "verified": None},
}
> assert validate(raw) == []
E AssertionError: assert ['calls[0].pr...be an object'] == []
E
E Left contains one more item: 'calls[0].probes[0] must be an object'
E Use -v to get more diff
tests/test_sabotage.py:25: AssertionError
=========================== short test summary info ============================
FAILED tests/test_sabotage.py::test_reference_fixture_verdicts_pass_contract_validation
1 failed, 12 passed in 0.04s
Command exited with code 1Adding dict import asdict
>uv run pytest tests/test_agent_side.py tests/test_explain.py tests/test_sabotage.py tests/test_contract.py............. [100%]
13 passed in 0.02sPlanning full pytest run
>uv run pytest........................................................................ [ 60%]
................................................ [100%]
120 passed in 0.15sInspecting concise git diff
>git diff -- autoresearch/agenteval/sabotage.py autoresearch/agenteval/explain.py autoresearch/agenteval/agent_side.py tests/test_sabotage.py tests/test_explain.py tests/test_agent_side.py | diffstat || true && git status --short0 files changed
M autoresearch/runner.py
?? ../.DS_Store
?? ../.claude/worktrees/
?? ../.idea/
?? ../.vscode/
?? autoresearch/agenteval/
?? tests/test_agent_side.py
?? tests/test_agenteval_score.py
?? tests/test_agenteval_taxonomy.py
?? tests/test_contract.py
?? tests/test_explain.py
?? tests/test_probe.py
?? tests/test_sabotage.py
?? tools/dashboard/lever-historyReviewing untracked files and reporting changes
READY
Implemented minimal Arm A Phase 2 components using only allowed files:
autoresearch/agenteval/agent_side.py
detect_ignored_hints(calls, window=3)ignored_by_next boolean plus richer window/details:
autoresearch/agenteval/explain.py
explain(record)autoresearch/agenteval/sabotage.py
FIXTURES covering classes A–F and every class-C subtype.experiments/failure_dataset.yamlexperiments/arm-a/notes/findings.mdexperiments/runs/baseline-noise-run1-3009509docs/plan.mdrun_sabotage(classifier)assert_sabotage_passes(classifier)expected_verdict(call) as temporary reference classifier until taxonomy/probe integration lands.Tests added:
tests/test_agent_side.pytests/test_explain.pytests/test_sabotage.pyTests run:
uv run pytest tests/test_agent_side.py tests/test_explain.py tests/test_sabotage.py tests/test_contract.py# 13 passed
uv run pytest# 120 passedIntegration contract for later Arms B/C:
assert_sabotage_passes(classifier).call: dict.CallVerdict, using .cls / .subtype"class" or "cls" plus "subtype"call["probes"] as record-v2-compatible dicts.You are PI ARM A. The evaluator-first work is now in the shared autoresearch checkout. Your role now: adapt/run the loop-as-a-skill arm using the NEW evaluator, not the old botmap eval scorer.
Context to read:
Constraints:
Task:
Planning focused reading on user files
Planning to read agenteval files
>find /Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval -maxdepth 1 -type f -print | sort/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/__init__.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/agent_side.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/analyze.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/contract.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/enrich.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/explain.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/probe.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/record.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/repair.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/sabotage.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/score.py
/Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/taxonomy.pyInspecting CLI scripts and README
Planning optimization commands and scripts
Planning skill adaptation and evaluation
>grep -R "write_summary\|enrich_run\|agenteval" -n . | head -100./autoresearch/runner.py:108: from .agenteval.contract import write as write_record2
./autoresearch/runner.py:109: from .agenteval.record import build_record
Binary file ./autoresearch/__pycache__/runner.cpython-311.pyc matches
./autoresearch/agenteval/sabotage.py:13:from autoresearch.agenteval.contract import CallVerdict, Probe, derive_class
./autoresearch/agenteval/enrich.py:21:def enrich_run(run_dir: str | Path, botmap_repo: str | Path, *, max_probe_calls: int = 8, timeout_s: int = 120) -> dict[str, Any]:
Binary file ./autoresearch/agenteval/__pycache__/record.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/explain.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/sabotage.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/enrich.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/probe.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/repair.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/taxonomy.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/score.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/agent_side.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/contract.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/__init__.cpython-311.pyc matches
Binary file ./autoresearch/agenteval/__pycache__/analyze.cpython-311.pyc matches
./autoresearch/agenteval/record.py:23: schema="agenteval/2",
./autoresearch/agenteval/contract.py:15:SCHEMA = "agenteval/2"
./autoresearch/agenteval/explain.py:8:from autoresearch.agenteval.contract import Record2
./autoresearch/agenteval/analyze.py:37:def write_summary(run_dir: str | Path, out: str | Path | None = None) -> Path:
./autoresearch/agenteval/analyze.py:40: target = Path(out) if out is not None else root / "agenteval-summary.json"
./autoresearch/agenteval/analyze.py:48: target = Path(out) if out is not None else root / "agenteval-summary-with-retries.json"
./tools/dashboard/dashboard.py:254: return run_progress_state("agenteval-measurement-3009509")
./tools/dashboard/dashboard.py:800: retry_card = progress_card("Retry incomplete attempts", run_progress_state("agenteval-measurement-3009509-retry-incomplete"))
./.pytest_cache/v/cache/nodeids:4: "tests/test_agenteval_score.py::test_agent_side_class_f_is_recorded_not_charged",
./.pytest_cache/v/cache/nodeids:5: "tests/test_agenteval_score.py::test_attempt_level_quota_environment_is_excluded_when_nothing_was_measured",
./.pytest_cache/v/cache/nodeids:6: "tests/test_agenteval_score.py::test_class_b_hint_scores_better_than_silent_class_c_zero",
./.pytest_cache/v/cache/nodeids:7: "tests/test_agenteval_score.py::test_class_c_dominates_several_guided_class_b_failures",
./.pytest_cache/v/cache/nodeids:8: "tests/test_agenteval_score.py::test_clean_attempt_scores_full_value",
./.pytest_cache/v/cache/nodeids:9: "tests/test_agenteval_score.py::test_environment_call_is_dropped_from_scoring",
./.pytest_cache/v/cache/nodeids:10: "tests/test_agenteval_score.py::test_ignored_hint_detail_does_not_turn_guided_tool_signal_into_tool_penalty",
./.pytest_cache/v/cache/nodeids:11: "tests/test_agenteval_score.py::test_ignored_hint_detail_reduces_self_recovery_not_guidance_quality",
./.pytest_cache/v/cache/nodeids:12: "tests/test_agenteval_score.py::test_recovery_cost_tracks_extra_calls_tokens_and_wallclock",
./.pytest_cache/v/cache/nodeids:13: "tests/test_agenteval_taxonomy.py::test_clean_call_has_null_class_derived_from_axes",
./.pytest_cache/v/cache/nodeids:14: "tests/test_agenteval_taxonomy.py::test_conclusive_probe_names_class_c_subtype",
./.pytest_cache/v/cache/nodeids:15: "tests/test_agenteval_taxonomy.py::test_empty_without_conclusive_probe_is_class_c_unknown_not_clean",
./.pytest_cache/v/cache/nodeids:16: "tests/test_agenteval_taxonomy.py::test_exit_zero_did_you_mean_is_guided_class_b_recovery_signal",
./.pytest_cache/v/cache/nodeids:17: "tests/test_agenteval_taxonomy.py::test_network_traceback_is_attempt_environment_shape_not_tool_crash",
./.pytest_cache/v/cache/nodeids:18: "tests/test_agenteval_taxonomy.py::test_non_quota_attempt_has_no_attempt_verdict",
./.pytest_cache/v/cache/nodeids:19: "tests/test_agenteval_taxonomy.py::test_quota_is_attempt_level_environment_verdict_without_call",
./.pytest_cache/v/cache/nodeids:22: "tests/test_analyze_records.py::test_write_summary_defaults_to_run_directory",
./experiments/paired/count-wrong-column-hint/result.md:27:experiments/runs/agenteval-measurement-3009509/agenteval-summary-with-retries.json
./experiments/paired/count-wrong-column-hint/result.md:48:experiments/runs/after-count-wrong-column-hint-7c794ff/agenteval-summary.json
./experiments/paired/categories-truncation-hint/result.md:26:experiments/runs/agenteval-measurement-3009509/agenteval-summary-with-retries.json
./experiments/paired/categories-truncation-hint/result.md:47:experiments/runs/after-categories-truncation-hint-00bff1a/agenteval-summary.json
./experiments/runs/agenteval-measurement-3009509/summary.json:2: "name": "agenteval-measurement-3009509",
./experiments/runs/agenteval-measurement-3009509/run.log:108: "name": "agenteval-measurement-3009509",
./experiments/runs/agenteval-measurement-3009509/agenteval-summary.json:2242: "run_dir": "experiments/runs/agenteval-measurement-3009509"
./experiments/runs/agenteval-measurement-3009509/attempts/basic-category-rollup__r2/record-v2.json:245: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/residential-share-cambridge__r2/record-v2.json:139: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/bus-stops-with-coffee__r2/record-v2.json:354: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/brooklyn-every-building__r2/record-v2.json:52: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/reykjavik-diacritic__r1/record-v2.json:139: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/hardware-near-bikepaths__r1/record-v2.json:125: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/bike-parking-coverage__r1/record-v2.json:449: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/ev-charging-gap__r1/record-v2.json:338: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/unsupported-hours-and-ratings__r2/record-v2.json:12: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/bbox-cambridge__r1/record-v2.json:31: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/hotel-density-two-countries__r1/record-v2.json:113: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/tall-buildings-cambridge__r1/record-v2.json:76: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/beach-accessibility-malta__r1/record-v2.json:1945: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/tattoo-category-discovery__r1/record-v2.json:112: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/building-parts-detail__r1/record-v2.json:242: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/asian-restaurants-rollup__r2/record-v2.json:137: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/junction-density__r2/record-v2.json:424: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/malta-highways-absent-class__r2/record-v2.json:138: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/bus-stops-cambridge__r1/record-v2.json:397: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/clipping-polygon-qgis__r2/record-v2.json:98: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/which-admin-areas__r2/record-v2.json:12: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/williamsburg-which-one__r1/record-v2.json:73: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/motorways-rhode-island__r2/record-v2.json:102: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/street-canonical-form__r1/record-v2.json:134: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/hospitals-rhode-island__r1/record-v2.json:78: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/starbucks-name-vs-brand__r2/record-v2.json:161: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/pharmacy-near-address__r1/record-v2.json:102: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/pharmacies-monaco__r2/record-v2.json:99: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/waterfront-buildings-reykjavik__r2/record-v2.json:193: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/nearest-pois-harvard__r2/record-v2.json:34: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/reykjavik-diacritic__r2/record-v2.json:95: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/residential-share-cambridge__r1/record-v2.json:407: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/bus-stops-with-coffee__r1/record-v2.json:545: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/brooklyn-every-building__r1/record-v2.json:52: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/basic-category-rollup__r1/record-v2.json:202: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/ev-charging-gap__r2/record-v2.json:1063: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/hardware-near-bikepaths__r2/record-v2.json:186: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/bike-parking-coverage__r2/record-v2.json:277: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/beach-accessibility-malta__r2/record-v2.json:169: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/tattoo-category-discovery__r2/record-v2.json:12: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/unsupported-hours-and-ratings__r1/record-v2.json:12: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/bbox-cambridge__r2/record-v2.json:12: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/hotel-density-two-countries__r2/record-v2.json:173: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/tall-buildings-cambridge__r2/record-v2.json:94: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/building-parts-detail__r2/record-v2.json:176: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/asian-restaurants-rollup__r1/record-v2.json:747: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/clipping-polygon-qgis__r1/record-v2.json:31: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/bus-stops-cambridge__r2/record-v2.json:193: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/malta-highways-absent-class__r1/record-v2.json:253: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/junction-density__r1/record-v2.json:136: "schema": "agenteval/2",
./experiments/runs/agenteval-measurement-3009509/attempts/street-canonical-form__r2/record-v2.json:122: "schema": "agenteval/2",Planning low-cost skill evaluation experiment
Designing loop-as-skill for candidate screening
Planning note creation
Planning code checks with grep and pytest
>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && uv run pytest tests/test_sabotage.py tests/test_agenteval_taxonomy.py tests/test_probe.py tests/test_analyze_records.py.......................... [100%]
26 passed in 0.04s>cd /Users/priyangapkini/workspace/ar-a/botmap && git diff -- .claude/skills/autoresearch-loop/SKILL.md .claude/skills/autoresearch-propose/SKILL.md .claude/skills/autoresearch-verify/SKILL.md notes/arm-a-new-evaluator-plan.md | head -80diff --git a/.claude/skills/autoresearch-loop/SKILL.md b/.claude/skills/autoresearch-loop/SKILL.md
index 87c06b7..497e5f0 100644
--- a/.claude/skills/autoresearch-loop/SKILL.md
+++ b/.claude/skills/autoresearch-loop/SKILL.md
@@ -1,134 +1,157 @@
---
name: autoresearch-loop
-description: Run a self-driving research loop that makes the botmap CLI easier for an AI agent to drive. Use when asked to improve botmap's agent-usability, run an autoresearch loop, or optimise the CLI against the eval suite.
+description: Run the Arm A skill-driven research loop using autoresearch's shared record-v2/agenteval evaluator, without GEPA or botmap's old eval scorer.
---
-# Autoresearch loop
+# Autoresearch loop — Arm A, new evaluator
-You are running a research loop on the `botmap` CLI. Your goal is to make the
-tool **easier for an AI agent to drive** — not to make its answers more
-correct.
+You are Arm A. Test the thesis that an agent following an explicit research-loop
+skill can produce useful CLI-design evidence without GEPA. The output is not a
+botmap patch by itself; the output is evidence for:
-The users of `botmap` are AI assistants, not people. An assistant is handed a
-plain-English question ("how many hospitals are in Rhode Island?") and a shell,
-and must work out the right command alone. Nobody tells it which command to
-use. **Working that out is exactly what is being measured.**
+> What makes a CLI interface agent-friendly?
-There is no optimiser library here. You are the optimiser. Run the loop
-yourself.
+Use the shared autoresearch evaluator, not `botmap/evals`.
-## The loop
+## Fixed paths
-```
-measure -> read the evidence -> propose 2-3 candidates
- ^ |
- | v
- +---- keep the winner <---- verify each candidate
-```
+- Shared autoresearch checkout:
+ `/Users/priyangapkini/nilenso/ai-playground/autoresearch`
+- Arm A botmap workspace:
+ `/Users/priyangapkini/workspace/ar-a/botmap`
+- Living deliverable:
+ `/Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/agent-friendly-cli.md`
+- Phase 4 baseline summary:
+ `/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/runs/agenteval-measurement-3009509/agenteval-summary-with-retries.json`
+- Preserved Arm A notes:
+ `/Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/arm-a/notes/findings.md`
-One pass through that is a **round**. Do rounds until a stop condition below
-is met.
+## Non-negotiable rules
-## Round procedure
+- Do **not** touch `botmap/evals/`.
+- Do **not** use `evals.score`, `evals.synthesize`, `cli_error_count`, or old
+ `record.json` as the judgement.
+- Do **not** run GEPA.
+- Do **not** restore `~/.claude/skills/botmap`; project skill isolation depends
+ on it staying disabled.
+- Do **not** decide experiment-level questions. Bring decisions back with options.
+- Do **not** run paid evaluations until the orchestrator/user explicitly approves
+ the exact subset, candidate, and cost.
-### 1. Measure
+## The loop
-The eval suite lives in `evals/`. A full run is 10 questions x 2 repeats = 20
-`claude -p` invocations, which is slow and burns quota. **Do not run the full
-suite to screen candidates.**
+```
+sabotage gate -> read record-v2 evidence -> propose 2-3 candidates
+ ^ |
+ | v
+ docs/agent-friendly-cli.md <- paired check <- verify mechanisms first
+```
-Full run (use for the baseline, and for a finalist only):Evaluating renewal necessity
>cd /Users/priyangapkini/workspace/ar-a/botmap && git status --shortM .claude/skills/autoresearch-loop/SKILL.md
M .claude/skills/autoresearch-propose/SKILL.md
M .claude/skills/autoresearch-verify/SKILL.mdConfirming notes file changes and crafting initial experiment command
Evaluating command options for Claude skill execution
Planning cost-effective Claude usage
Formulating exact low-cost Claude command
Defining constraints for free candidate testing
READY
Old Arm A workspace only:
/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/Users/priyangapkini/workspace/ar-a/botmap/notes/arm-a-new-evaluator-plan.md
notes/ appears excluded in this old workspace, so preserve/copy later if needed.No shared autoresearch source edited.
Arm A loop now uses:
record-v2.jsonautoresearch.agenteval.explainagenteval-summary*.jsondocs/agent-friendly-cli.md entriesIt no longer uses:
botmap/evalsrecord.jsonevals.scorecli_error_countcd /Users/priyangapkini/nilenso/ai-playground/autoresearchuv run pytest tests/test_sabotage.py tests/test_agenteval_taxonomy.py tests/test_probe.py tests/test_analyze_records.pyResult:
26 passedProposal/mechanism-only; no paid evals:
cd /Users/priyangapkini/workspace/ar-a/botmapclaude -p 'Use the autoresearch-loop skill for one Arm A round with the NEW shared autoresearch record-v2/agenteval evaluator. Run the free evaluator gate, read the shared Phase 4 summary and paired-result artifacts, propose 2-3 candidates, and run only free/static mechanism checks if safe. Do not run GEPA. Do not touch botmap/evals. Do not run paid evals or autoresearch runner.ask_repeatedly. Do not restore the global botmap skill. Stop with candidates, checks, proposed paired subset, exact paid command, and cost estimate.' \ --setting-sources project \ --permission-mode bypassPermissionsEstimated cost: one Claude/Pi planning session only; $0 eval cost. If routed through paid model API, expect roughly <$0.50. Mechanism checks are CLI/static only.
claude -p cannot run because the old subscription path is unavailable, run the same prompt through Pi/orchestrator instead; the skill files are ready.RELEASED: start Arm A run now.
User explicitly said: “let arm A run it”. You are authorized to run a low-cost Arm A experiment using the NEW autoresearch evaluator.
Hard constraints:
Suggested scope: Measure your existing Arm A candidates through new evaluator:
Implementation guidance:
Dashboard:
Deliverable: When done or blocked, report:
Start now.
Inspecting branches and global skill
>test -e ~/.claude/skills/botmap && echo GLOBAL_EXISTS || echo global-skill-not-presentglobal-skill-not-present>cd /Users/priyangapkini/workspace/ar-a/botmap && git branch --list 'cand/*' && git status --short && git rev-parse --short HEADcand/count-flag-parity
cand/count-zero-hint
cand/skill-bus-station
M .claude/skills/autoresearch-loop/SKILL.md
M .claude/skills/autoresearch-propose/SKILL.md
M .claude/skills/autoresearch-verify/SKILL.md
044f260>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && python3 - <<'PY'
import json, os
from pathlib import Path
p=Path('experiments/runs/agenteval-measurement-3009509/agenteval-summary-with-retries.json')
print(p.exists())
if p.exists():
d=json.loads(p.read_text()); print(d.get('class_counts'), d.get('subtype_counts'))
PYTrue
{'clean': 389, 'C': 55, 'B': 15, 'A': 38, 'D': 3} {'c-truncated': 25, 'c-unknown': 25, 'c-wrong-type': 3, 'c-wrong-column': 2}Assessing git branch switch risks with uncommitted skill edits
Planning isolated botmap repo branch testing with stashing
Reducing test attempts to five for cost efficiency
Planning question set and count tests
Planning run directory management and summaries
>cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && grep -R "def agent_path\|OPENROUTER" -n autoresearch/config.py autoresearch/orproxy.py | head -80autoresearch/config.py:54:REFLECTION_KEY_VAR = "OPENROUTER_API_KEY"
autoresearch/config.py:114: run (`OPENROUTER_API_KEY=[REDACTED] python -m autoresearch.optimize`) without
autoresearch/config.py:242:OPENROUTER_BASE = "https://openrouter.ai/api"
autoresearch/config.py:246:OPENROUTER_MODEL = "anthropic/claude-sonnet-5"
autoresearch/config.py:249:def agent_path() -> str:uv run pytest tests/test_agent_side.py tests/test_explain.py tests/test_sabotage.py tests/test_contract.py# 13 passed
uv run pytest# 120 passedcd /Users/priyangapkini/nilenso/ai-playground/autoresearchuv run pytest tests/test_sabotage.py tests/test_agenteval_taxonomy.py tests/test_probe.py tests/test_analyze_records.py26 passedcd /Users/priyangapkini/workspace/ar-a/botmapclaude -p 'Use the autoresearch-loop skill for one Arm A round with the NEW shared autoresearch record-v2/agenteval evaluator. Run the free evaluator gate, read the shared Phase 4 summary and paired-result artifacts, propose 2-3 candidates, and run only free/static mechanism checks if safe. Do not run GEPA. Do not touch botmap/evals. Do not run paid evals or autoresearch runner.ask_repeatedly. Do not restore the global botmap skill. Stop with candidates, checks, proposed paired subset, exact paid command, and cost estimate.' \ --setting-sources project \ --permission-mode bypassPermissions