agentleFS
GodMakingGodMaking/makecrew/skills/review-and-critique/SKILL.md

review-and-critique

Skill1 starsChanged 52 days agoMITView on GitHub

Use when a code task reaches a meaningful milestone, before merging or publishing, or when an independent check is needed to find requirement, regression, test, or security issues.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read the task goal, acceptance gates, changed files, and fresh test output.

    line 10
  2. Distinctive:

    Check behavior, edge cases, regressions, error handling, security, and maintainability.

    line 11

≈ “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

Review And Critique

Review the change against the task contract, not against personal preference.

  1. Read the task goal, acceptance gates, changed files, and fresh test output.
  2. Check behavior, edge cases, regressions, error handling, security, and maintainability. Inspect the smallest relevant diff; do not copy full employee histories into the review context.
  3. Report findings first, ordered by severity, with file and line evidence and a concrete fix. Separate open questions from confirmed findings.
  4. A critical or important finding blocks delivery until fixed or explicitly adjudicated. Re-run the focused check after each fix and the full suite before merge.

For a routine read-only query, skip this Skill. Use it at milestones so review cost buys a measurable quality signal rather than another full conversation.

Download now (ZIP)

Does it work?

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

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
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.