agentleFS
amirbenaamirbena/code-review-skill/skills/local-code-review/SKILL.md

local-code-review

Skill8 starsChanged 7 days agoApache-2.0View on GitHub

Review local Git changes and return evidence-backed P0/P1/P2 code-review findings.

3 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

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

    When the user asks to review local changes, run review-core on the local change and return its report.

    line 12

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “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

local-code-review

Compatibility entrypoint for the v2 name. It reviews local Git changes by delegating to review-core.

When the user asks to review local changes, run review-core on the local change and return its report. Everything else — scope, severity, evidence, the decision and the safety guarantees — is review-core's and is not restated here.

Requires review-core. If it is not installed, stop and ask the user to install it (review-core is invocable directly, with the same result).

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Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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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.