Does this skill require external software?

Yes, this skill requires the OpenAI Codex CLI to be installed and accessible in your environment to perform the secondary validations.

How does it prevent context pollution?

The skill utilizes subagent dispatching, meaning the review and discussion happen in a separate task context, keeping your main conversation clean and focused.

Why use Codex Peer Review instead of just Claude?

Two AI perspectives catch more issues than one. Codex provides a specialized second opinion to validate Claude's plans, reducing the risk of architectural flaws or logic bugs through a 'measure twice, cut once' approach.

How does it handle disagreements between Claude and Codex?

It initiates a structured discussion protocol where both models present evidence. If they cannot resolve the conflict after two rounds, the skill escalates to external sources like Perplexity for final arbitration.

When does this skill automatically trigger?

It activates before Claude presents implementation plans, architecture recommendations, or answers to broad technical questions involving multi-file changes and security-sensitive recommendations.

Codex Peer Review

Name: Codex Peer Review
Author: jcputney

byjcputney

•

Herramientas de Colaboración

Enhances code quality by validating technical recommendations and implementations through a structured peer-review process using OpenAI Codex.

Acerca de

Codex Peer Review is a specialized skill for Claude Code that introduces a rigorous 'second opinion' system for high-stakes technical decisions. By integrating with the OpenAI Codex CLI, it creates a structured dialogue between two AI models to catch potential flaws in architecture, security vulnerabilities, and logic errors before they reach production. The skill proactively triggers for multi-file changes and complex refactoring, ensuring that every proposal is stress-tested through an automated validation workflow that includes multi-round discussions and external arbitration via Perplexity or WebSearch when disagreements persist.

Características Principales

Multi-AI validation for code reviews, designs, and architectural plans
Automated discussion protocol to resolve technical disagreements between AI models
External arbitration via Perplexity or WebSearch for unresolved conflicts
Context-isolated subagent dispatch to prevent main workspace pollution
Proactive triggers for security-sensitive recommendations and breaking changes
12 GitHub stars

Casos de Uso

Validating a major architectural refactor before beginning implementation
Conducting a secondary security audit on sensitive authentication or data logic
Standardizing code review findings through cross-model consensus

Acerca de

Características Principales

Multi-AI validation for code reviews, designs, and architectural plans
Automated discussion protocol to resolve technical disagreements between AI models
External arbitration via Perplexity or WebSearch for unresolved conflicts
Context-isolated subagent dispatch to prevent main workspace pollution
Proactive triggers for security-sensitive recommendations and breaking changes
12 GitHub stars

Casos de Uso

Validating a major architectural refactor before beginning implementation
Conducting a secondary security audit on sensitive authentication or data logic
Standardizing code review findings through cross-model consensus