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openai/codex-plugin-cc

Use Codex from Claude Code to review code or delegate tasks.

9,537 starsJavaScript

Why this page exists

Use this profile to move from awareness into adoption-oriented inspection.

Best next step

Check the summary, then compare it against similar projects before touching production.

Research posture

Momentum helps discovery. Fit, maintenance quality, and reversibility decide adoption.

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Editorial summary

The Codex plugin for Claude Code integrates OpenAI's Codex directly into the Claude Code environment, enabling users to enhance their coding workflow through automated code reviews and task delegation. With commands like `/codex:review` and `/codex:adversarial-review`, developers can easily request comprehensive reviews of their code, challenge design decisions, or investigate issues, all while maintaining a seamless workflow. This plugin is designed for Claude Code users who wish to leverage the capabilities of Codex without leaving their familiar interface, facilitating an efficient coding process.

Use cases for this plugin include conducting thorough reviews of uncommitted changes or branches, delegating tasks such as bug investigations or code fixes to Codex, and managing ongoing background jobs with commands like `/codex:status` and `/codex:result`. The plugin is particularly valuable for teams aiming to ensure code quality before deployment, as well as for individual developers who want to streamline their debugging and development processes.

Adoption analysis

Best-fit use case

openai/codex-plugin-cc is most useful to evaluate when your team is researching JavaScript ecosystem tooling. Compare its documented workflow with your runtime, deployment model, and maintenance capacity before adopting it.

Momentum signal

Recent tracked star growth is modest, so maintenance quality and fit may matter more than momentum. Daily and three-day changes are discovery signals, while total stars show accumulated awareness.

Adoption caution

Before adding it to production, review license terms, dependency footprint, security guidance, open issue quality, and whether there is a clear path to migrate away later.

What to inspect next

  1. 1Run the quick install in a disposable project before touching production code.
  2. 2Check whether the README clearly states the project scope and non-goals.
  3. 3Identify at least two alternatives so the decision is not based on one ranking page.
  4. 4Read recent issues and releases to understand maintenance rhythm, breaking changes, and common failure modes.

Star History

Project screenshot

openai/codex-plugin-cc project screenshot