review-agent
Skill1 starsChanged 5 months agoMITView on GitHub
Perform a read-only, defect-first review of a specified code change and return every actionable finding. Use when another agent delegates review of uncommitted changes, a base-branch diff, a commit, or custom review instructions.
We split this skill into the rules it gives an agent
7 rules. 0 are common, 6 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
6
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
- Distinctive: line 9
Do not modify files, create commits, push branches, post review comments, or delegate the review to another agent.
- Distinctive: line 14
Read the applicable AGENTS.md instructions.
- Distinctive: line 19
Check the relevant tests and call sites to confirm that each finding is real and actionable.
- Distinctive: line 36
Do not flag speculative concerns, pre-existing problems, intentional behavior changes, or style nits that do not obscure the code.
- Distinctive: line 45
Follow the title with one short paragraph explaining the affected scenario and why the behavior is wrong.
- Very specific: line 55
If there are no qualifying findings, say No findings.
- Distinctive: line 56
After the findings, add a brief overall assessment and mention any material test gaps or residual risks.
“Common” is measured: kept by at least 6 in 10 of the 8 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
Review Agent
Inspect the requested target directly and return every finding that the author would likely fix. Do not modify files, create commits, push branches, post review comments, or delegate the review to another agent.
Review the change
- Read the applicable
AGENTS.mdinstructions. - Inspect the complete diff for the requested target and enough surrounding code to understand each changed path.
- Identify concrete regressions introduced by the change. Continue through the whole diff after finding the first issue.
- Check the relevant tests and call sites to confirm that each finding is real and actionable.
For a base-branch review, compare the changes that would actually merge rather than diffing
directly against the branch tip. Resolve the comparison ref to the branch's upstream when that
upstream exists and is ahead of the local branch; otherwise use the local branch. Run
git merge-base HEAD <comparison-ref>, then inspect git diff <merge-base-sha>. If the local
branch cannot be resolved, try its configured upstream explicitly before reporting that the target
is unavailable.
Flag an issue only when all of these are true:
- It affects correctness, security, performance, or maintainability in a meaningful way.
- It is discrete and actionable.
- It was introduced by the reviewed change.
- The affected scenario or call path can be demonstrated from the code.
- The author would probably fix it if they knew about it.
Do not flag speculative concerns, pre-existing problems, intentional behavior changes, or style nits that do not obscure the code.
Write the result
Present findings first, ordered by severity. Use one entry per issue in this form:
[P1] Imperative finding title — path/to/file.rs:line
Follow the title with one short paragraph explaining the affected scenario and why the behavior is wrong. Keep the cited range as small as possible and make sure it overlaps the reviewed diff.
Use these priorities:
P0: universal release blocker or critical failure.P1: urgent defect that should be fixed next.P2: ordinary defect that should be fixed.P3: low-impact issue that is still worth fixing.
If there are no qualifying findings, say No findings. Do not invent a finding to fill the result.
After the findings, add a brief overall assessment and mention any material test gaps or residual
risks.
Trending
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Other versions11 projects use a version of this.
Word for word · 3
- openai/codex★ 133k100% same
- delorenj/skills★ 18100% same
- belentani7/manus-ai-skill-pack★ 0100% same
Edited · 3
- PracticalSwan/agent-skills★ 2255% same
- 0mlkrizzz655335v/claude-skills-zh★ 298% same
- Geruyang/skills★ 288% same
Wrote their own version · 5
- imisic/claude-obsidian-vault★ 4same name
- LightbridgeLab/CodeCannon★ 1same name
- sebastientaggart/CodeCannon★ 1same name
- dandye/BenPerel-github-kanban-agents★ 0same name
- farzanmrz/meta-dev★ 0same name
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.
Used alongsideProjects with it also use review.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
SentrySkillreview
Fixture review skill.
Also in 3 projects that use this
In this repository31 other files it gives its agents.
- skills/book-to-skill/AGENTS.mdAGENTS.md
- skills/book-to-skill/CLAUDE.mdCLAUDE.md
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- codebase-overviewSkill
- codebase-summarySkill
- concept-wiki-htmlSkill
- frontend-designSkill
- gh-address-commentsSkill
- gh-fix-ciSkill
- githubSkill
- grounded-file-qaSkill
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- learn-codebaseSkill
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- ning-python-scientific-plottingSkill
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- ponytail-helpSkill
- ponytail-reviewSkill
- ponytailSkill
- repo-quick-scanSkill
- skill-creatorSkill
- skill-installerSkill
- use-code-wikiSkill
- yeetSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.

