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QualityPython

Codex Review

by alinaqi

Codex Review is a Quality skill for Claude Code, published by alinaqi in maggy.

704 stars57 forkson alinaqi/maggyAdded 2026/08/23Repository updated 2026/08/18
View source on GitHubDownload repo ZIP
ai-codingclaudeclaude-codedeveloper-toolsproject-initializationpythonreactsecuritytypescript
Install in seconds
Install Codex Review
Copy Codex Review into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/alinaqi/maggy/tree/main/skills/codex-review ~/.claude/skills/codex-review

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/alinaqi/maggy.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/codex-review/SKILL.md in alinaqi/maggy
Installs to
~/.claude/skills/codex-review
Collection
One of 25 skills cataloged from this repository
Category
Quality — 1897 skills

What Codex Review does

Codex Review uses OpenAI Codex CLI to review code for bugs, security flaws, and quality issues. Use it in the terminal, PR comments, or CI for automated review of changes.

Codex Review is cataloged under Quality on DirSkills. Codex Review comes from a repository tagged ai-coding, claude, claude-code, developer-tools and project-initialization.

Documentation

README

OpenAI Codex Code Review Skill

Use OpenAI's Codex CLI for specialized code review with GPT-5.2-Codex - trained specifically for detecting bugs, security flaws, and code quality issues.

Sources: Codex CLI | GitHub | Code Review Cookbook

Why Codex for Code Review?

Feature Benefit
GPT-5.2-Codex Specialized training for code review
88% detection rate Bugs, security flaws, style issues (LiveCodeBench)
Structured output JSON schema for consistent findings
GitHub native @codex review in PR comments
Headless mode CI/CD automation without TUI

This is the opening of the README. Read the full README on GitHub.

Commands Codex Review provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /review

Frequently asked about Codex Review

  • What else does alinaqi publish alongside Codex Review?

    Codex Review is one of 25 skills that DirSkills catalogs from alinaqi/maggy, the repository it ships in. Its siblings there include AI Engine Optimization, AI Models Reference and AWS Aurora. Each one is a separate skill with its own page in this directory, installs the same way Codex Review does, and is maintained by alinaqi in that same repository. The rest of the collection is listed on the alinaqi/maggy page.

  • How does Codex Review compare to other Quality skills?

    Codex Review ranks #1049 by stars among the 1897 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Codex Review against them. Open each page to compare what they document and how they install.

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