Does this skill require an OpenAI API key?

Yes, you must have the Codex CLI installed and authenticated with your OpenAI credentials for the MCP server to function.

Is the review process automated?

It can be. You can set 'auto: true' in your config for automatic execution, or trigger it manually when you need a deep-dive review.

How does this differ from Claude's standard code review?

This skill adds an additional layer of verification by calling OpenAI Codex models as specialized experts (Security, Performance, etc.), providing a 'second opinion' that complements Claude's native analysis.

Can I customize which experts review my code?

Yes, the skill allows you to enable or disable specific experts like SEO, Accessibility, or Architect based on the context of your project in the configuration file.

Codex Review Integration

Name: Codex Review Integration
Author: Chachamaru127

byChachamaru127

•

160

Herramientas de Colaboración

Enhances code reviews by integrating OpenAI Codex as an MCP server to provide expert second opinions on code quality, security, and architecture.

Acerca de

The Codex Review Integration skill empowers Claude Code with multi-layered review capabilities by connecting to the OpenAI Codex CLI via the Model Context Protocol (MCP). It allows developers to go beyond a single AI's perspective, providing specialized feedback from multiple expert personas including security, performance, and architectural analysis. This skill automates the setup of the Codex MCP server and enables a robust parallel review workflow, ensuring that production-grade code is thoroughly vetted by diverse AI models to catch edge cases that a single model might overlook.

Características Principales

Automated MCP server setup and OAuth/API key authentication for OpenAI Codex
Configurable review modes (Solo vs. 2-Agent) via .claude-code-harness.config.yaml
Seamless integration with the Claude Code autonomous development harness
Parallel multi-expert reviews across security, performance, quality, and architecture
Granular expert selection to exclude irrelevant reviews (e.g., skipping SEO for backend code)
160 GitHub stars

Casos de Uso

Getting a diverse second opinion on critical security-sensitive pull requests
Scaling code quality checks by running four parallel AI experts in a single response
Automating architecture and design pattern validation using specialized AI personas

Acerca de

Características Principales

Automated MCP server setup and OAuth/API key authentication for OpenAI Codex
Configurable review modes (Solo vs. 2-Agent) via .claude-code-harness.config.yaml
Seamless integration with the Claude Code autonomous development harness
Parallel multi-expert reviews across security, performance, quality, and architecture
Granular expert selection to exclude irrelevant reviews (e.g., skipping SEO for backend code)
160 GitHub stars

Casos de Uso

Getting a diverse second opinion on critical security-sensitive pull requests
Scaling code quality checks by running four parallel AI experts in a single response
Automating architecture and design pattern validation using specialized AI personas