Codex Review Integration
Enhances code reviews by integrating OpenAI Codex as an MCP server to provide expert second opinions on code quality, security, and architecture.
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
01Automated MCP server setup and OAuth/API key authentication for OpenAI Codex
02Configurable review modes (Solo vs. 2-Agent) via .claude-code-harness.config.yaml
03Seamless integration with the Claude Code autonomous development harness
04Parallel multi-expert reviews across security, performance, quality, and architecture
05Granular expert selection to exclude irrelevant reviews (e.g., skipping SEO for backend code)
06160 GitHub stars
Casos de Uso
01Getting a diverse second opinion on critical security-sensitive pull requests
02Scaling code quality checks by running four parallel AI experts in a single response
03Automating architecture and design pattern validation using specialized AI personas