reviewing-pull-requests
Skill548 starsChanged 10 days agoApache-2.0View on GitHub
Reviews a pull request in a separate subagent that has not seen this conversation, applying the rules in REVIEW.md. TRIGGER when: this session has just opened a pull request, for example with `gh pr create`; the user asks for a review of a pull request by URL or number; or a hook reports that large changes were pushed to a pull request. DO NOT TRIGGER when: answering existing review comments → addressing-review; watching CI → monitoring-pull-requests.
- Commits and pushes
9 other projects use a version of this.
Adopted by
Most recently taken up by
- msewell/agent-stufftheir own version, first seen Oct 20, 2026
- buroa/k8s-gitopstheir own version, first seen Oct 17, 2026
- onedr0p/home-opstheir own version, first seen Oct 17, 2026
- TriliumNext/Triliumtheir own version, first seen Oct 8, 2026
- teispace/teitunneltheir own version, first seen Sep 27, 2026
- jhonatan-oliveiradev/agent-skillstheir own version, first seen Aug 26, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- TriliumNext/Trilium★ 39ksame name
- onedr0p/home-ops★ 2.9ksame name
- Shopify/shopify-app-js★ 544same name
- buroa/k8s-gitops★ 394same name
- mongodb/mongo-hibernate★ 19same name
- d-oit/rust-2026-template★ 15same name
- teispace/teitunnel★ 2same name
- jhonatan-oliveiradev/agent-skills★ 1same name
- msewell/agent-stuff★ 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.
In this repository54 other files it gives its agents.
- AGENTS.mdAGENTS.md
- backend/AGENTS.mdAGENTS.md
- docs/AGENTS.mdAGENTS.md
- backend/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- docs/CLAUDE.mdCLAUDE.md
- analyzing-ci-flakinessSkill
- audit-docsSkill
- commitSkill
- creating-changelog-entriesSkill
- creating-issuesSkill
- creating-prdSkill
- grilling-ideasSkill
- harvesting-reviewSkill
- migrate-feature-pageSkill
- monitoring-pull-requestsSkill
- neo4j-cypher-guideSkill
- opsmill-dev-analyzing-bugsSkill
- opsmill-dev-fixing-bugsSkill
- opsmill-dev-test-driving-bugsSkill
- pre-ciSkill
- prSkill
- rebaseSkill
- speckit-agent-context-updateSkill
- speckit-analyzeSkill
- speckit-checklistSkill
- speckit-clarifySkill
- speckit-constitutionSkill
- speckit-convergeSkill
- speckit-critique-runSkill
- speckit-git-commitSkill
- speckit-git-featureSkill
- speckit-git-initializeSkill
- speckit-git-remoteSkill
- speckit-git-validateSkill
- speckit-implementSkill
- speckit-opsmill-autoSkill
- speckit-opsmill-extractSkill
- speckit-opsmill-implementSkill
- speckit-opsmill-prepSkill
- speckit-opsmill-retrospectSkill
- speckit-opsmill-summarySkill
- speckit-planSkill
- speckit-review-codeSkill
- speckit-review-commentsSkill
- speckit-review-errorsSkill
- speckit-review-runSkill
- speckit-review-simplifySkill
- speckit-review-testsSkill
- speckit-review-typesSkill
- speckit-specifySkill
- speckit-tasksSkill
- speckit-taskstoissuesSkill
- upgrading-infrastructure-dependenciesSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
Read REVIEW.md at the root of the repository.
- Distinctive: line 20
Run the built-in review:
- Very specific: line 21
Claude Code: run the code-review skill with the arguments xhigh <pull request>.
“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.
Files
Review a pull request with the code review built into the tool you are running in, without the
conversation that wrote the change. The pull request is $ARGUMENTS; in Codex, take it from the
request that started this skill, or use the pull request of the current branch.
- Read
REVIEW.mdat the root of the repository. Its rules decide what to report and how to rate it. - Run the built-in review:
- Claude Code: run the
code-reviewskill with the argumentsxhigh <pull request>. - Codex: find the base branch with
gh pr view <pull request> --json baseRefName, or use the branchorigin/HEADpoints to whenghcannot reach GitHub. Start a new subagent that does not get this conversation, give it the task "Review the changes this branch would merge intoorigin/<base branch>, following Codex's built-in review instructions in${CODEX_HOME:-$HOME/.codex}/skills/.system/review-agent/SKILL.md.", and wait for its result. Codex does not offer that skill by name, so the subagent reads the file. The pull request's branch must be checked out, as it is when this session opened the pull request.
- Claude Code: run the
- Return the findings with the rules in
REVIEW.mdapplied, separating the issues this pull request introduces from older ones. Change no files.
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.

