Code Review Skill for Codex

by openai

Run a final code review on a pull request

163 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

103818

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/openai/codex --skill code-review

What it tells the agent to use

found in the instruction text

Task spawns other agents

The instruction itself

as written by the author

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.

Other skills for the same job

different authors, same section of the catalogue

Receiving Code Review

by ZhanlinCui

×7

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

2k tokens

Requesting Code Review

by ZhanlinCui

×6

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping

Comprehensive GitHub code review with AI-powered swarm coordination

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.

Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.

Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.

2k tokens

How to use it

Copy the folder

Take openai/code-review from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.