Favicon of code-review

code-review Skill

AI Agent SkillCode & Developer ToolsRustOpen source

Run a final code review on a pull request Published by openai in codex.

Decision snapshot

Is this a fit?

Best for

Documentation, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

26 days ago · Apache-2.0 license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is code-review Skill?

Run a final code review on a pull request Published by openai in codex. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Documentation
  • Documentation use cases

Declared skill metadata

  • Source file: .codex/skills/code-review/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use code-review Skill

  • Use it for documentation.

Built with

RustCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/codex
  • Skill file: .codex/skills/code-review/SKILL.md

What it does

Run a final code review on a pull request

Skill instructions

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.

Verified compatibility and discovery

Frequently asked questions

What is code-review?

code-review is a open-source AI agent skill with Copy skill directory. Run a final code review on a pull request

Who is code-review best for?

code-review is best for reusing agent instructions, scripts, and references, documentation workflows.

How do I install code-review?

Install or run code-review using Copy skill directory. Check code-review for the latest setup command.

Is code-review actively maintained?

code-review may need a closer maintenance check before production use.

Share:

Stars
105,601
Forks
16,020
Last commit
26 days ago
Last verified
Aug 19, 2026
Metadata fetched
Aug 19, 2026
Repository age
1 year
License
Apache-2.0

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

Alternatives to code-review