SkillsApr 8, 2026·2 min read

Codex Plugin for Claude Code — OpenAI Cross-Review

Official OpenAI plugin that adds Codex code review and task delegation inside Claude Code. Get adversarial reviews, rescue debugging, and multi-model collaboration.

TL;DR
The Codex plugin adds OpenAI code review and task delegation inside Claude Code for multi-model collaboration.
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What it is

The Codex Plugin for Claude Code is an official OpenAI integration that brings Codex code review and task delegation capabilities directly into the Claude Code environment. It enables adversarial code reviews where a second AI model examines code from a different perspective, rescue debugging when one model gets stuck, and multi-model collaboration workflows.

Developers using Claude Code who want a second opinion from OpenAI's Codex model benefit most. The cross-review pattern catches bugs and blind spots that a single model might miss, similar to how human pair programming works.

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How it saves time or tokens

Instead of manually copying code between Claude Code and an OpenAI interface, the plugin routes review requests directly. Adversarial review catches issues early in the development cycle, reducing debugging time later. When Claude Code gets stuck on a problem, delegating to Codex provides a fresh approach without starting over. The token cost of a targeted review is typically lower than multiple rounds of iterative debugging with a single model.

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How to use

  1. Install the Codex plugin in your Claude Code configuration:
{
  'plugins': {
    'codex': {
      'enabled': true,
      'api_key': 'your-openai-api-key'
    }
  }
}
  1. Request an adversarial review of your current code:
/codex review src/auth/jwt.ts
  1. Delegate a stuck debugging task:
/codex debug 'Why does this WebSocket handler leak memory under load?'
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Example

# Cross-review a pull request with both models
/codex review --adversarial src/api/routes.ts

# Delegate a specific implementation task
/codex implement 'Add rate limiting middleware using sliding window algorithm'

# Get a second opinion on architecture decisions
/codex review --focus architecture src/

The plugin returns Codex's analysis alongside Claude's own assessment, highlighting areas of agreement and disagreement.

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Related on TokRepo

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Common pitfalls

  • The plugin requires a valid OpenAI API key with Codex access. API costs apply separately from your Anthropic billing.
  • Adversarial reviews work best on focused code segments (single files or functions). Reviewing entire repositories produces noisy output.
  • Multi-model outputs can sometimes contradict each other. Treat disagreements as signals for closer human inspection, not as definitive answers.

Frequently Asked Questions

Do I need separate API keys for Claude and Codex?+

Yes. Claude Code uses your Anthropic API key, and the Codex plugin requires an OpenAI API key. Both are configured independently. Each provider bills separately for their respective model usage.

What is adversarial code review?+

Adversarial review means a second AI model examines code specifically looking for issues the first model might have missed. The models have different training data and biases, so they catch different categories of bugs, security issues, and design problems.

Can I use the plugin for code generation, not just review?+

Yes. The plugin supports task delegation where you can ask Codex to implement features, write tests, or refactor code. Claude Code orchestrates the workflow and you can compare outputs from both models.

Does the plugin work offline?+

No. The plugin requires network access to reach OpenAI's API endpoints. Both Claude Code and the Codex plugin are cloud-dependent for model inference.

How does multi-model collaboration reduce bugs?+

Different models have different failure modes. Claude might miss a race condition that Codex catches, or Codex might overlook a type safety issue that Claude flags. Using both in sequence provides broader coverage, similar to having two human reviewers with different expertise.

Citations (3)
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Source & Thanks

Created by OpenAI. Licensed under Apache 2.0.

openai/codex-plugin-cc — 12.7k+ stars

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