Codex Peer Review

About

Codex Peer Review empowers developers to validate high-stakes technical decisions by bringing a second AI perspective directly into the Claude Code terminal. By bridging Claude with OpenAI’s Codex CLI, this skill enables rigorous multi-perspective analysis of complex architectures, security-critical implementations, and performance optimizations. It provides a structured synthesis framework to compare insights, reconcile diverging opinions, and identify trade-offs that a single model might miss. Whether you are performing a final security audit or exploring alternative design patterns in unfamiliar domains, this skill ensures your technical choices are robust and well-vetted through cross-AI validation.

Key Features

• Security-focused code analysis and vulnerability identification
• Structured synthesis framework for comparing AI perspectives
• Performance bottleneck detection and optimization suggestions
• 7 GitHub stars
• Architecture validation and multi-perspective design critique
• Automated generation of alternative implementation approaches

Use Cases

• Validating security-critical code sections like authentication or data handling
• Reviewing high-stakes architecture decisions or complex system designs
• Choosing between multiple technical approaches when trade-offs are significant