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msewellmsewell/agent-stuff/skills/reviewing-pull-requests/SKILL.md

reviewing-pull-requests

Skill0 starsChanged 7 months agoCC-BY-SA-4.0View on GitHub

Reviews GitHub pull requests end-to-end using gh CLI. Gathers PR metadata, diff, linked issues, and CI status. Analyzes code for bugs, security risks, performance issues, and goal alignment against repo conventions. Runs available lint, type-check, and test commands locally. Produces a prioritized report with severity-classified feedback (blocking, suggestion, nit, praise) and an approve/request-changes verdict. Optionally posts the review to GitHub after user confirmation. Use when asked to review a PR, check a pull request, audit code changes, evaluate if a PR is ready to merge, provide code review feedback, assess PR quality, or when the user says review PR #N, is this PR ready, look at this pull request, or code review.

We split this skill into the rules it gives an agent

11 rules. 0 are common, 6 are distinctive, and 5 are very specific to this project.

  • 0

    Common

    Most of the 9 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 5

    Very specific

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

Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 9 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.

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.

Check your setup, free