agentleFS
nicholas-greenwoodnicholas-greenwood/agentic-engineering-skills/ai-code-review-catalog/SKILL.md

ai-code-review-catalog

Skill3 starsChanged 17 days agoMITView on GitHub

available code reviewers, review prompts and model routing

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    when using exact-commit verification evidence, run from a clean, committed checkout.

    line 20
  2. Very specific:

    when the parent harness is sandboxed, launch the helper outside that parent sandbox with an escalated shell command.

    line 21

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<reviewers>
  • /cross-harness-sub-agent with a short broad review prompt written by the main agent
  • native sub-agent reading and following /thermo-nuclear-code-quality-review
  • native sub-agent using prompts/ponytail-review.md
  • native sub-agent using prompts/code-review.md
  • harness's native code review agent
  • codex cli native review through the shared launcher:
    bin/codex-native-review origin/develop
    # optional evidence and output location:
    bin/codex-native-review origin/develop playground/review-handoffs playground/checks.md
    • when using exact-commit verification evidence, run from a clean, committed checkout; output is a fresh directory containing review.md and review.log
    • when the parent harness is sandboxed, launch the helper outside that parent sandbox with an escalated shell command; the reviewer itself remains --sandbox read-only
    • the helper supplies source-inspection instructions through developer_instructions, since codex review --base rejects a positional prompt
    • verification belongs to the caller or CI. supply existing evidence with its exact commit, commands or CI links, scope and pass/fail/pending status; the reviewer reports gaps instead of running write-dependent checks
    • retain the report and log on failure; launcher permission failures need the correct parent launch context, not another identical attempt
</reviewers><prompts>
  • code review prompt: prompts/code-review.md
  • ponytail review prompt: prompts/ponytail-review.md
  • bug-class review prompt: prompts/bug-class-review.md
  • data leak review prompt: /data-leak-review
</prompts>

native sub-agent model routing:

harnessmodelreasoning
codexgpt-6.1-solhigh
claude codeclaude-opus-5-5high
otherwhat the harness recommendswhat the harness recommends

don't use fast mode if a command fails, try similar variants if a cli tool is not installed/authenticated, skip it

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.