mcpbeat

Code Review

openai/code-review

Run a final code review on a pull request

163 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
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.

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.