Improve CLI for Agent Compatibility and Safety

Summary

Can you read this tweet: https://x.com/ericzakariasson/status/2036762680401223946

Can you take a look at our CLI and based on some of the recommendations in the article, make some recommendations on how to harden our CLI to be more agent friendly.

Exploring CLI improvements

I need to respond to the user's request about reviewing a tweet and looking at our CLI to make it more agent-friendly based on the article's recommendations. I might fetch the tweet content, but there are some limitations, so I’m considering different options like webfetch or using GitHub. This feels like an open-ended research task, so I might need to inspect the CLI repository and review relevant documents, focusing on analysis rather than modifying the code.

Inspecting CLI architecture

I need to use webfetch and inspect the CLI architecture. It sounds like I'll also use Task Explore to search for aspects of agent friendliness, such as stdin/stdout handling, JSON output, authentication, and more. I'll start by fetching the tweet, then dive into the repository's documentation and its implementation. Since this task seems complex, I’ll make a to-do list to break it down into manageable steps. Let's get to work on that!

Updated todos

Readhttps://x.com/ericzakariasson/status/2036762680401223946

ReadAGENTS.md

Readcli.md

Readhttps://cdn.syndication.twimg.com/tweet-result?id=2036762680401223946

Readhttps://x.com/i/article/2036387800119975936

Readhttps://r.jina.ai/http://x.com/i/article/2036387800119975936

Deciding on file processing

I have a large HTML file, and I need to extract the title from it. The instructions say not to use bash commands like find or grep, but I wonder if I can still use the grep tool on the saved file. Grep typically searches directories, but it seems I can also specify a file path. While using a task agent might be overkill, it could be better to use the grep tool to search for things like <meta property="og:title". So, I'll go ahead and use grep.

Grepped2036387800119975936|Zakariasson|eric

Extracting meta tags

It looks like grep didn’t find the meta tags, possibly because the file is minified into a single line. I should consider using rg in bash with the -o flag or even Python with standard library methods. Python 3 with urllib and regex could help me parse the meta title and description. I don't need additional libraries here since the standard library is sufficient. Let's fetch the HTML and extract those meta tags using Python 3's urllib.

>python3 - <<'PY'
import re, urllib.request
url='https://x.com/i/article/2036387800119975936'
html=urllib.request.urlopen(urllib.request.Request(url, headers={'User-Agent':'Mozilla/5.0'}), timeout=20).read().decode('utf-8','ignore')
for name in ['og:title','twitter:title','og:description','twitter:description']:
    m=re.search(r'<meta[^>]+(?:property|name)="%s"[^>]+content="([^"]*)"' % re.escape(name), html)
    print(name, '=>', m.group(1) if m else None)
print('title =>', re.search(r'<title>(.*?)</title>', html, re.S).group(1))
PY

Exploring JSON data extraction

I’m considering if there’s JSON data loaded as a separate script with the article details. It seems like inspecting the HTML for an article ID or checking for API endpoints might be a helpful approach. Maybe I should use regex to search through the page output for the articleId or similar keywords. This could help me pinpoint the information I’m after. It requires some attention, but I think it’s worth exploring!

>python3 - <<'PY'
import re, urllib.request
url='https://x.com/i/article/2036387800119975936'
html=urllib.request.urlopen(urllib.request.Request(url, headers={'User-Agent':'Mozilla/5.0'}), timeout=20).read().decode('utf-8','ignore')
for pat in ['article','Article','graphql','2036387800119975936','eric','zakariasson']:
    print('\nPATTERN', pat)
    for m in re.finditer(pat, html):
        start=max(0,m.start()-200)
        end=min(len(html),m.end()+300)
        snippet=html[start:end]
        print(snippet[:500].replace('\n',' '))
        break
PY

Extracting article info

I think the initial Redux state is likely contained in the HTML, and I need to extract the relevant script, possibly looking for JSON data related to published articles. I should search for publishedArticles, though that might be empty, so maybe I'll use regex. I could also look for API calls related to articles by searching for "ArticleHandler." Another option is to check the author's profile or search the web for articles. I'll consider fetching data from the article API if I can locate the endpoint.

Considering article recommendations

It seems the user is referencing recommendations from an article, possibly about agent-friendly CLI hardening. I’d like to pinpoint the actual recommendations rather than just inferring them. I could use a general web search through a subagent, but it seems I don't have a search tool available. The general agent mentions researching complex questions and executing multi-step tasks, so I think I could ask it to retrieve a summary of the article from alternate sources or cached copies. That sounds like a promising approach!

Ran sub-agentSummarize X article

Evaluating CLI implementation

I need to inspect the CLI implementation for behavior that's friendly for agents. To do this, I could explore the agent for analyzing CLI surfaces according to recommendations. I'll read entries and commands related to list, share, setup, remove, and reset. Identifying existing support and gaps is key, and maybe I should check the documentation and code. Since this is open-ended, a task exploration could effectively search and analyze agent friendliness across CLI commands, noting relevant file references.

Ran sub-agentAudit CLI agent UX

Inspecting relevant files

I need to read relevant files myself to verify information and gather more nuanced evidence. I should inspect the code concerning things like top-level help, option parsing, JSON outputs, stdin, and error handling. It could be beneficial to read multiple files in parallel, possibly using a method to read in slices. I'll focus on key files like index.ts, share-options.ts, and status.ts, among others, to ensure I'm targeting the right sections.

Readindex.ts190 lines

Readshare-options.ts

Readlist-options.ts

Readreset.ts160 lines

Readshare.ts70 lines

Readstatus.ts180 lines

Readsetup.ts460 lines

Readremove-skills.ts210 lines

Readdoctor.ts380 lines

Readtransfer.ts120 lines

Readsetup-options.ts

Readremove-skills-options.ts

Inspecting JSON outputs

I'm considering whether I need to check the list of JSON outputs and diagnostics. It might be a good example to follow. I also wonder about the "whoami/login" function being human-only. I should inspect if there are help examples missing in the documentation, even though there might be some code present. It could be helpful to take a quick look at the tests to see if they reveal any silent unknown flags that are expected.

Readshare-options.test.ts140 lines

Readlist-options.test.ts80 lines

Readsetup-options.test.ts120 lines

Readremove-skills-options.test.ts80 lines

Readlist.ts90 lines

Readlogin.ts120 lines

Readwhoami.ts140 lines

Readnamespace.ts220 lines

Readhooks.ts260 lines

Readindex.ts120 lines

Inspecting share options

I need to check if the share command already supports --list and fallback environment hints, as this could enhance agent friendliness. The documentation may show support for current-session environment hints already. I should also look into validation and error handling for share selectors. It might be useful to read through the share command option validation for examples of actionable errors and idempotency. I should search relevant lines for clarity.

Readshare.ts90 lines

Considering error handling

I could mention there are actionable errors and structured exit codes. It might be worth checking if the top-level options include --debug or if the global parser is set to silent. Maybe I should inspect the CLI tests or the parser library. I could also look at package.json for dependencies related to the CLI parser. Examining setup and remove for idempotency could be helpful too. I wonder if doctor using ANSI codes complicates JSON parsing, and I should mention the printing of verification details by whoami.

Standardizing commands and features

I’m noticing that some commands return a boolean, equating failure to 1, while commands like list, share, setup, and remove use invalid args returning 2. That inconsistency suggests a need to standardize. I could also mention the --json option in the docs. I should explore "accept stdin broadly" possibilities using process.stdin or readline, though that's probably not necessary. It might be worth considering more agent-friendly features, such as share --list, setup --yes, and a global --key, which could enhance usability.

Readcli.md25 lines

Inspecting command details

I think I should mention that the share command already has explicit discovery mode and environment hints, which is good. However, I noticed a mismatch in naming: the CLI options list --dir in code, but the docs mention --cwd. The top section of the docs does say share --cwd and list --dir, so it's definitely something to inspect further. I should also check if authenticated commands can accept tokens, as that’s helpful for user friendliness. Maybe I should cite specific lines in the documentation for clarity.

Readcli.md30 lines

Analyzing CLI Recommendations

I think it's a good idea to mention the explicit --key or TRACES_API_KEY. I might need to inspect the list validation for exit codes. I'd also consider looking into the command parser for --debug, but it may not be essential. Suggestions like --json on commands could be useful. I should review specifics for the transfer command as it doesn’t allow certain arguments. Finally, creating a prioritized list of recommendations based on strengths and gaps seems important.

Updated todos

Analyzing command behavior

I think I need to do a bit more analysis by checking the docs or code around the top-level parser and command interfaces. It seems like there might be missing --help handling for the list/share commands. If the user passes --help, it might get ignored, and the list command runs instead. It’s important to verify this behavior. I could run the bun command or inspect the list command further, checking if it requires a selector. It might be useful to test!

Considering output improvements

I think I should recommend versioning JSON output schemas. The current outputs seem stable, but only for a few commands. Maybe I’ll propose adding options like --json --schema-version v1 or --quiet or --output jsonl. Although the direct X article wasn't fetched, I did recover the title and summary via a mirror, and I could mention that I pulled the gist of the article. It might help to create a structured table with recommendations and suggestions while incorporating file references for clarity.

Discussing CLI hardening

I think I need to cover the concept of "hardening" in terms of security and robustness. "Harden CLI to be more agent-friendly" likely means making it less error-prone for agents and framing it as reliability for machine callers, rather than just focusing on human user experience. I could mention existing strengths, like JSON output for commands such as share, list, setup, and remove skills, along with non-interactive auth options and good trace discovery hints. Then I can start tailoring recommendations.

Considering CLI recommendations

The article suggests accepting both flags and stdin broadly to help agents create commands in pipelines. For this CLI focused on IDs and directories, stdin for trace IDs and namespace slugs may suffice. However, it might be more reliable to support reading selection JSON from stdin for sharing and transferring. I could propose making the transfer command accept --trace-id - or omit the argument. It’s also worth mentioning that no command supports stdin beyond prompts, and uninstall returns 0 when not found, which is idempotent.

Exploring agent-friendly improvements

I’m thinking about suggesting improvements that could enhance the existing architecture. It might be beneficial to centralize the parser and output helpers, allowing all commands to utilize the same CommandResult interface, especially since many already have emitSuccess and emitError helpers. I could propose a shared CommandRuntime layer or a parser library, though that might not be essential. Additionally, creating a small shared module with parseCommonFlags, emitJson, and usageErrors could be worth mentioning too.

Finalizing article evaluation

I'm considering how to summarize the results effectively. Instead of being overly verbose, I want to create clear sections like the article gist, strengths, gaps, and prioritized recommendations. I should mention any file references too. I can say something like: "I couldn't fetch X directly, but I accessed the article through public mirrors; the title is Building CLIs for agents." That should work fine! Now, I just need to finalize this update for completion.

Updated todos

I couldn’t read the X page directly, but I recovered the linked article from a public mirror. The title was Building CLIs for agents, and the main themes were: make commands fully non-interactive, make --help locally discoverable and example-heavy, accept stdin, fail fast with actionable errors, keep mutating commands idempotent, add --dry-run, use predictable naming, and return structured output.

What’s Already Good

share, list, setup, and remove skills already have solid JSON envelopes with ok/data/error, which is a strong base for agent usage: cli/src/commands/share.ts:721, cli/src/commands/list.ts:197, cli/src/commands/setup.ts:710, cli/src/commands/remove-skills.ts:383
share already has good headless-discovery ideas: explicit selectors, env hints, and --list fallback: docs/cli.md:111
Auth is scriptable via --key and TRACES_API_KEY, not just browser login: docs/cli.md:83
Setup/remove flows are mostly idempotent, especially for skills and git hook marker insertion/removal: cli/src/commands/setup.ts:644, cli/src/commands/hooks.ts:127

Biggest Hardening Gaps

Unknown flags are silently ignored, which is the biggest agent footgun here: cli/src/commands/share-options.ts:3, cli/src/commands/list-options.ts:13, cli/src/commands/setup-options.ts:3, cli/src/commands/remove-skills-options.ts:3
Help is mostly top-level only; most subcommands do not have real --help, and examples are sparse: cli/src/index.ts:150, cli/src/commands/setup.ts:400
JSON output is inconsistent across automation-facing commands like status, doctor, whoami, namespace, and transfer: cli/src/commands/status.ts:66, cli/src/commands/doctor.ts:319, cli/src/commands/whoami.ts:20, cli/src/commands/namespace.ts:159, cli/src/commands/transfer.ts:5
Destructive commands don’t have --dry-run, and confirmation behavior is inconsistent: cli/src/commands/reset.ts:58, cli/src/commands/remove-skills.ts:280, cli/src/commands/hooks.ts:201, cli/src/index.ts:265
There’s basically no stdin-based composition path for IDs/selectors; stdin is used for prompts, not machine input: cli/src/commands/reset.ts:44

Recommended Order

Make argument parsing strict and fail-fast. Unknown flags should return INVALID_ARGUMENTS with a suggestion like “did you mean --cwd?”. Right now an agent typo can silently do the wrong thing.
Add real traces <command> --help for every nontrivial command, with 2–4 concrete examples each. setup --help is the right direction; apply it everywhere.
Add --json to every automation-relevant command and standardize on one contract: payload on stdout, diagnostics on stderr, stable ok/data/error.code/error.message.
Add a global --non-interactive mode. In that mode, any prompt should become a structured error telling the caller which flags are required instead.
Add --dry-run to all mutating/destructive commands: reset, remove skills, remove git, setup git, transfer, and uninstall.
Add stdin support for common pipelines, e.g. --trace-id -, --to -, or a shared --input json mode.
Normalize naming and aliases. share --cwd vs list --dir is harder for agents to infer than it needs to be; same with --key vs a clearer alias like --api-key.
Publish a small exit-code contract and use it everywhere. You already use 2 for invalid args in some commands; make that universal.

If I were prioritizing purely for agent-friendliness, I’d do these first:

strict flag parsing
per-command help with examples
JSON everywhere

If you want, I can turn this into a concrete implementation plan for cli/ with command-by-command changes and suggested output schemas.

argument parsing strict < what does this mean? give example

Explaining argument parsing strictness

The user wants to know what "argument parsing strict" means in the context of command-line interfaces (CLIs). It refers to rejecting unknown flags, missing values, contradictory flags, and invalid enum values instead of just ignoring them. In my current repository, an example can be seen where parseShareCommandOptions silently ignores unknown flags. I should point out relevant files, such as cli/src/commands/share-options.ts:3 for code and cli/src/commands/share-options.test.ts:93 for tests. Lastly, strict parsing helps catch typos and hallucinated flags.

Clarifying strict argument parsing

Strict argument parsing means that the CLI treats the command line as a contract. If any invalid inputs are provided, it will error out immediately instead of making assumptions. For instance, with the current behavior: passing --jsno is ignored, causing the command to run in human mode. Other examples show how typos can lead to prompts or incorrect parsing. With strict parsing, errors like "Unknown option --jsno. Did you mean --json?" and prompts for missing values would be clearly stated, enhancing usability.

Detailing argument parsing errors

I could outline the levels of argument parsing errors:

Unknown flags error
Flags requiring values error if missing
Invalid enum error
Incompatible combinations error
No extra positionals allowed

The current CLI does perform some post-parse validation in share.ts:467, but the parsers are a bit relaxed. To illustrate, I could list around six examples of commands with their respective outputs. I want to keep it concise while making it clear and useful!

Strict argument parsing means: if the caller passes anything invalid, the CLI errors immediately instead of silently ignoring it.

Right now some of your parsers are permissive. For example, cli/src/commands/share-options.ts:3 and cli/src/commands/list-options.ts:13 skip unknown flags, and you even test for that in cli/src/commands/share-options.test.ts:93.

Concrete example:

Current behavior:

What happens now:

--jsno is ignored
command still runs
agent thinks it asked for machine-readable output, but gets human text instead

Strict behavior:

text

Error: Unknown option `--jsno`. Did you mean `--json`?Run `traces share --help` for examples.exit code: 2

Error: Unknown option `--jsno`. Did you mean `--json`?Run `traces share --help` for examples.exit code: 2

Why this matters for agents:

agents typo flags
agents infer flags that “should exist”
silent ignore turns a clear mistake into wrong behavior

A few more examples of “strict”:

Unknown flag

permissive: ignores typo, may open an interactive confirm prompt and hang automation
strict: Unknown option --yees. Did you mean --yes?
Missing value

strict: Missing value for --trace-id
Invalid enum

strict: Invalid value for --visibility. Use public, direct, or private.
Extra positional args

strict: Unexpected argument extra

You already do some strict validation later in cli/src/commands/share.ts:467 for things like invalid --visibility or conflicting selectors. My recommendation was to push that strictness down into the parsing layer too, especially for unknown flags and missing values.

If you want, I can sketch what a stricter parser API would look like for share, list, and remove skills.

okay i like all your recommendations. 6 and 7 might break existsing clients so backcompat is required.

Proposing a phased rollout

I’m thinking about a phased rollout approach. First, I could add aliases and stdin features gradually. After that, I’ll document canonical flags and provide examples. Then maybe I would implement structured deprecation warnings, but only in non-JSON or human mode. Eventually, there could be major version removal, but that would remain optional. I want to suggest this without asking for permission, so I might just say I can outline a concrete plan or start with low-risk pieces first.

Yep — I’d treat 6 and 7 as additive, not replacements.

stdin support: keep current flags exactly as-is, and only read stdin when the caller opts in explicitly
Good backcompat pattern:
- traces share --trace-id - -> read one trace id from stdin
- traces transfer --to team --trace-id - -> read id from stdin
- or --from-stdin / --input json as new opt-in flags
Avoid auto-reading piped stdin just because input exists; that’s what usually breaks existing scripts
Naming normalization: add aliases, keep current names canonical internally
Good backcompat pattern:
- keep --cwd, add --dir as alias for share
- keep --dir, add --cwd as alias for list
- keep --key, add --api-key and maybe --token as aliases
Parse all aliases into the same internal field, and keep existing docs/examples working

A safe rollout would be:

Add aliases and opt-in stdin paths
Keep old flags fully supported
Show canonical names in --help
Optionally add soft deprecation notices later, but only in human mode and not in --json

Example of strict + backcompat together:

This should work because --api-key is an alias for --key.

But this should fail:

with:

That gives you stricter agent behavior without breaking existing clients.

If you want, I can turn the recommendations into:

a compatibility-safe implementation plan, or
the actual CLI changes, starting with the lowest-risk ones.

Do 1

Lets create a worktree and do this work in there

Planning worktree implementation

I need to respond to the user's request for option 1: a compatibility-safe implementation plan, and create a worktree to do this work. I'll likely need to use the git-worktree skill since they've asked specifically for it. It might help to check repo instructions as part of this. I’m considering whether I should ask the user for the branch name/location or infer a reasonable default. Overall, I’ll create the worktree and then outline the implementation plan.

Creating worktree branch

I'm considering using the todowrite tool because this task involves multiple complex steps. First, I should inspect any existing worktree constraints. I’ll need to create a branch name for the worktree, and I could choose a reasonable default like tarun/cli-agent-hardening-plan or simply cli-agent-hardening. It seems wise to base this on the skill instructions I'm using. So, I’ll go ahead and load the git-worktree skill to get started.

Updated todos

Used Skill

Exploring git worktree tasks

I need to inspect the current git worktree and maybe the scripts. Using bash parallel could help with the worktree list and branch status. I should verify if the parent directory exists before creating new files. I'll check existing branches with git worktree list and branch commands, but it might not be necessary. For naming the new worktree branch, I’m leaning towards feat/cli-agent-hardening since the user is looking for that direction. I should also check branch naming styles to ensure consistency.

Assessing worktree creation

I should probably run from the main worktree to check if we're in the correct directory and branch. I need to inspect the current git status and branch since we're creating a worktree from the current HEAD, and the user didn't specify a base branch. It's crucial to verify that the parent directory exists before creating any new directories or files. I'll utilize bash commands to check the directory structure and ensure everything is properly set up for the worktree script.

Organizing project tasks

I could use bash to list the contents of the directory at /Users/tarunsachdeva/code along with git worktree list. It might be efficient to run these commands in parallel. I can also consider using glob patterns for identifying document patterns in the repo. I plan to execute git status --short --branch, git worktree list, and the directory listing simultaneously, plus possibly the glob patterns for planning documents. I'll also want to look into repo planning conventions later.

Searched files**/*{plan,plans,roadmap}*.mdin //Users/tarunsachdeva/code/traces

Searched files**/AGENTS.mdin //Users/tarunsachdeva/code/traces

Readnew-worktree.sh

Readdocs

Considering project inspections

I think there are some documents or projects that I might need to check for planning conventions. It's important to inspect these files carefully to make sure everything is in order. I wonder what specific aspects I'll be looking for. I could be looking for guidelines or suggestions that help with the overall project framework. Let's figure out the best way to approach this!

Readprojects

ReadREADME.md

Inspecting project documentation

I need to take a look at an existing project document style so I can mimic it. I think checking out the docs/projects/cli-indexed-trace-discovery.md file could be a good idea, especially since it might have a project plan that’s similar to what I need. This way, I can ensure that my formatting and style are consistent with what's already established. Let's dive into that document!

Readcli-indexed-trace-discovery.md220 lines

Updated todos

>git worktree add -b "feat/cli-agent-hardening" "/Users/tarunsachdeva/code/traces-worktrees/feat-cli-agent-hardening" main && ln -sf "/Users/tarunsachdeva/code/traces/api/.env.local" "/Users/tarunsachdeva/code/traces-worktrees/feat-cli-agent-hardening/api/.env.local" && ln -sf "/Users/tarunsachdeva/code/traces/cli/.env.local" "/Users/tarunsachdeva/code/traces-worktrees/feat-cli-agent-hardening/cli/.env.local" && ln -sf "/Users/tarunsachdeva/code/traces/frontend/.env.local" "/Users/tarunsachdeva/code/traces-worktrees/feat-cli-agent-hardening/frontend/.env.local" && bun install

Planning a worktree strategy

I need to check the new worktree status and possibly the branch. It might be useful to read the new CLI/AGENTS information as well. I should definitely write a plan document in the worktree, likely in the docs/projects folder. I’m considering names like cli-agent-hardening.md or cli-agent-friendly-hardening.md. Also, I want to create a clear, phase-based plan that’s atomic and compatibility-safe, referencing relevant files from our earlier audit. I'll use git status to check if the branch is clean.

Drafting the implementation plan

I’m considering creating a plan document and possibly updating the docs/README.md to include a link, since the user asked for an implementation plan. I’m not entirely sure if linking in the README is necessary, but it could enhance discoverability. Maybe adding the document under docs/projects without a link is sufficient. I want the plan to be structured, including sections like Goals, Non-goals, Principles, Compatibility constraints, and a phase plan that’s atomic and reversible. I'll definitely mention recommendations to ensure we don’t break existing clients. I may outline tasks, starting with Phase 0 for baseline safety rails.

Planning docs/help generation

I'm considering implementing a detailed plan for generating the docs/help tailored to the repository. I think the document should include sections like Objective and Constraints, which would highlight that we shouldn't introduce breaking changes to existing flags or JSON. I want to keep stdin additive and ensure the JSON mode remains stable. The plan should also emphasize that only CLI changes are permitted initially, as AGENTS advises against changing the API CLI Frontend all at once. Lastly, I’ll outline gaps, target behavior, and a workstream/phase plan.

Planning documentation updates

I see that the article suggests a fully non-interactive approach. I need to plan for that, possibly after working on the JSON. The login feature is inherently interactive, so I should ensure it fails early if the intention is non-interactive, with clear instructions. It’s likely that the plan document will be in docs/projects/cli-agent-hardening.md, detailing phases and commands. I'll check the file naming conventions and maybe update the README as well. Keeping it discoverable is important!

Crafting concise content

I think I need to create content that's both concise and useful. It would be helpful to reference the evidence file paths but since the documentation plan doesn't require line references, I’ll focus on command files instead. It’s all about balancing clarity with brevity in this context! I’ll work on composing the content and make sure that it effectively communicates what’s necessary without any unnecessary fluff. Let's get started!

Considering document structure

I'm thinking about organizing the document with a "Command Surface" section and possibly including a table. Since the final answer should mention the path, I'll need to incorporate that. The markdown tables could be included in the document, and I can structure it with a clear title like "Project: CLI Agent Hardening" followed by a concise goal statement. After that, I'd include a "Why Now" section that highlights current strengths and any potential pitfalls.

Clarifying project goals and constraints

I need to refine the project outline without overwhelming details. The goals include making the system automation-friendly while ensuring existing clients are unaffected. I want to implement features like fail-fast for invalid commands, self-discovery for subcommands, and safe destructive actions with a --dry-run option. The non-goals would focus on no API or TUI changes. There are also compatibility constraints with the existing system that I need to maintain while identifying current gaps. Finally, I should uphold design principles like strict parsing and clear output for diagnostics.

Outlining phase plan

I'm working on a phase plan that’s atomic and reversible. In Phase 0, I want to document and test current contracts, capturing baseline tests and codifying JSON contracts and exit codes. For Phase 1, I’ll introduce a shared parser foundation, adding features like option specs, alias registries, and keeping results stable while maintaining old flags. Phase 2 will focus on adding --help support with examples, while Phase 3 will unify JSON responses and exit codes, establishing clear contracts for success and errors.

Considering response codes

I’m thinking about how to handle the response codes properly and whether repurposing the “3” code is intentional. It seems the current usage is inconsistent, so I should propose a minimal contract to clarify things. I’m suggesting safe codes: “0” for success, “1” for operational failure, “2” for invalid arguments, and “3” for authorization issues. It feels important to be cautious and preserve existing functionalities, ensuring compatibility with current clients while normalizing the usage as we go.

Planning command enhancements

I'm detailing some phases for improving command functionality. In Phase 4, I want to add a --dry-run option for potentially destructive commands, ensuring there's symmetry with --yes and --force. Moreover, I'd like to introduce a non-interactive mode that offers error guidance instead of hanging.

Moving to Phase 5, I think incorporating the - sentinel or --from-stdin could enhance user experience. It’s a good idea to add aliases for --key, --cwd, and --dir too. Lastly, in Phase 6, shell completion could be beneficial, and I’m wondering about tracking invalid argument suggestions. I'll create a command rollout table to summarize all this information.

Edited

Readcli-agent-hardening.md260 lines

Updated todos

Summarizing worktree setup

I've created a clean worktree off main at ... on the branch feat/cli-agent-hardening to keep it isolated from the dirty fix/frontend... tree. I've documented a compatibility-safe implementation plan in docs/projects/cli-agent-hardening.md, linking it from docs/README.md. The plan covers: strict parser foundation with fail-fast flags, per-command help, JSON rollout, dry-run hardening, additive stdin, and tests. Just a note: no tests were run beyond bun install. Let's outline next steps!

Outlining next steps

Here’s a numeric list of next steps:

Implement Phase 0-1 in this worktree.
Start with the shared parser utility for share/list/setup/remove/transfer.

Since the user asked for a plan, they likely want to see the next implementation. I'll reference paths, including docs/projects/cli-agent-hardening.md and docs/README.md, as well as traces-worktrees/feat-cli-agent-hardening. I ran bun install in the new worktree, but no code or tests beyond dependency bootstrap have been executed. Let’s keep things moving!

Set this up in a clean worktree off main so it stays isolated from the dirty current branch.

Worktree: /Users/tarunsachdeva/code/traces-worktrees/feat-cli-agent-hardening
Branch: feat/cli-agent-hardening
Bootstrapped there with bun install

I wrote the compatibility-safe implementation plan in docs/projects/cli-agent-hardening.md and linked it from docs/README.md.

The plan covers:

strict parsing without silent flag ignores
per-command --help with examples
broader --json coverage and exit-code cleanup
--dry-run and explicit non-interactive behavior for mutating commands
additive stdin support and aliases only, with backcompat preserved
a phased rollout and test plan

Natural next steps:

Start Phase 0-1 in this worktree by building the shared strict parser utility
Review the plan doc together and adjust phase ordering before implementation

Let's start

Planning implementation steps

I need to keep the conversation going since the user said, "let’s start." It looks like I should focus on implementing the shared strict parser utility and inspect the code in the worktree. Since this is a multi-step process, I’ll use a to-do list to help organize my tasks. I should probably limit changes to the CLI and think about updating the documentation related to it as well. I'll work on this without asking further questions.

Determining implementation steps

I should start with the CLI code and tests, focusing on the docs only if necessary. It’s time to define the scope and implement some initial parts since the user said, "let's start." I’ll proceed with Phase 0-1, creating to-do items with an atomic checklist to keep things organized. We should inspect relevant files to identify what we need to implement, especially the shared parser utility and commands like share and list. I’ll ensure we choose a reversible slice for easy committal.