pr-reviewer
Skill1 starsChanged 5 months agoMITView on GitHub
Review pull requests, diffs, commits, and local changes for bugs, regressions, missing verification, and maintainability risks. Use when the user asks for a review, PR review, diff review, pre-merge check, or "what could break". Do not use for broad architecture mapping without a specific diff or for security-only audits where security-scout is more specific.
We split this skill into the rules it gives an agent
7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 22 edited versions we read keep these.
7
Distinctive
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
- Distinctive: line 14
Look for concrete regressions before style comments.
- Distinctive: line 15
Verify whether tests cover the changed behavior and failure modes.
- Distinctive: line 39
Do not praise before findings.
- Distinctive: line 40
Do not list nits unless the user asked for polish.
- Distinctive: line 41
If no issues are found, say so and name residual risk or test gaps.
- Distinctive: line 42
Prefer file/line references over general advice.
- Distinctive: line 43
Do not request changes for code that is merely different from personal taste.
“Common” is measured: kept by at least 6 in 10 of the 22 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.
Files
PR Reviewer
Review like a maintainer who must protect users.
Review Order
- Understand the stated intent from PR title, issue, commit message, or user prompt.
- Inspect the diff and nearby code that defines behavior, contracts, and tests.
- Look for concrete regressions before style comments.
- Verify whether tests cover the changed behavior and failure modes.
- Report only actionable findings.
Finding Format
Lead with findings, ordered by severity:
[P1] Short title
File: path/to/file.ext:line
Risk: what breaks and for whom.
Why: the evidence from code or behavior.
Fix: the smallest useful direction.Use priorities:
P0: data loss, security exposure, crash loop, or release blocker.P1: likely user-visible bug or serious regression.P2: correctness, compatibility, or missing-test risk.P3: maintainability issue worth fixing, not merge-blocking.
Rules
- Do not praise before findings.
- Do not list nits unless the user asked for polish.
- If no issues are found, say so and name residual risk or test gaps.
- Prefer file/line references over general advice.
- Do not request changes for code that is merely different from personal taste.
Other versions22 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 22
- pyuvm/pyuvm★ 571same name
- Fu-Jie/awesome-openwebui★ 326same name
- Fu-Jie/openwebui-extensions★ 326same name
- idavidov13/agentic-playwright★ 208same name
- proflead/codex-skills-library★ 153same name
- h0tp-ftw/ankimon★ 83same name
- glincker/claude-code-marketplace★ 37same name
- jpantsjoha/ai-native-developer-experience★ 13same name
- getpapi/papi★ 11same name
- tstapler/dotfiles★ 8same name
12 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- docs/llms.txtllms.txt
- llms.txtllms.txt
- docs-keeperSkill
- frontend-polisherSkill
- issue-sherpaSkill
- migration-pilotSkill
- perf-labSkill
- real-engineerSkill
- release-captainSkill
- repo-cartographerSkill
- security-scoutSkill
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
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.

