Code Review
- 416 installs
- 104k repo stars
- Updated August 4, 2026
- openai/codex
Run a final code review on a pull request.
About
Run a final code review on a pull request. Use subagents to review code using all code-review-* skills other than this orchestrator. One subagent per skill. Pass full skill path to subagents. Use xhigh reasoning.
- Use subagents to review code using all code-review-* skills other than this orchestrator. One subagent per skill. Pass f
- You must return every single issue from every subagent. You can return an unlimited number of findings.
- Use raw Markdown to report findings.
- Number findings for ease of reference.
- Each finding must include a specific file path and line number.
Code Review by the numbers
- 416 all-time installs (skills.sh)
- +19 installs in the week ending Jul 26, 2026 (Skillselion tracking)
- Ranked #255 of 1,354 Code Review & Quality skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Aug 4, 2026 (Skillselion catalog sync)
code-review capabilities & compatibility
- Capabilities
- use subagents to review code using all code revi · you must return every single issue from every su · use raw markdown to report findings. · number findings for ease of reference.
- Use cases
- documentation
What code-review says it does
Run a final code review on a pull request
npx skills add https://github.com/openai/codex --skill code-reviewAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 416 |
|---|---|
| repo stars | ★ 104k |
| Security audit | 2 / 3 scanners passed |
| Last updated | August 4, 2026 |
| Repository | openai/codex ↗ |
How do I apply code-review using the workflow in its SKILL.md?
Run a final code review on a pull request
Who is it for?
Developers following the code-review skill for the tasks it documents.
Skip if: Tasks outside the code-review scope described in SKILL.md.
When should I use this skill?
User mentions code-review or related triggers from the skill description.
What you get
Working code-review setup aligned with the documented patterns and constraints.
- Aggregated review findings
- Numbered Markdown report
By the numbers
- Launches one subagent per code-review-* skill in the repository
Files
Use subagents to review code using all code-review-* skills other than this orchestrator. One subagent per skill. Pass full skill path to subagents. Use xhigh reasoning.
You must return every single issue from every subagent. You can return an unlimited number of findings. Use raw Markdown to report findings. Number findings for ease of reference. Each finding must include a specific file path and line number.
If the GitHub user running the review is the owner of the pull request add a code-reviewed label. Do not leave GitHub comments unless explicitly asked.
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Caveman ReviewGet ultra-compressed, one-line code review comments that cut noise while keeping every actionable fix.270k94.7kCodebase DesignShared vocabulary for designing deep modules: improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable.266k196kCavecrewDelegate coding tasks to specialized subagents that return compressed output, keeping the main context window usable for much longer sessions.220k94.7kCode ReviewReviews a branch or PR diff on two axes at once: conformance to coding standards plus a code-smell baseline, and whether it actually implements the original spec.201k196k
Requesting Code ReviewDispatch a consistent, high-signal code reviewer subagent that catches plan deviations and quality issues before merging or continuing development.183k264kHow it compares
Pick code-review when you need one orchestrated pass that runs every specialized review skill rather than invoking a single narrow checker.
FAQ
What does code-review do?
Run a final code review on a pull request
When should I use code-review?
Invoke when Run a final code review on a pull request.
Is code-review safe to install?
Review the Security Audits panel on this page before installing in production.