Does this skill require an OpenAI API key?

Yes, this skill relies on the Codex CLI, which requires an OpenAI account and valid authentication (OAuth or API key) to function.

How do I trigger a Codex review in Claude Code?

Once configured, you can trigger it using natural language prompts like 'get a second opinion', 'Codex review', or 'check this with Codex'.

Can I run multiple specialized reviews simultaneously?

Yes, the skill supports parallel execution of up to 8 specialized expert personas, such as Security, Quality, and Architecture experts, in a single workflow.

What is the main benefit of using Codex with Claude?

It provides a diverse 'second opinion' from a different AI model architecture, helping to identify edge cases, security risks, or performance bottlenecks that Claude might miss on its own.

What is the Model Context Protocol (MCP) in this context?

MCP is the standard used to connect the Codex CLI to Claude Code, allowing Claude to securely call Codex as an external tool for specialized analysis.

Codex Review Integration

Name: Codex Review Integration
Author: Chachamaru127

byChachamaru127

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122

协作工具

Integrates OpenAI Codex as an MCP server to provide multi-perspective, second-opinion code reviews within the Claude Code environment.

关于

Codex Review Integration empowers Claude Code with a secondary AI perspective by leveraging OpenAI Codex through the Model Context Protocol (MCP). This skill allows developers to validate Claude's implementations against specialized Codex expert personas—including security, performance, and architecture experts—simultaneously. It is particularly useful for mission-critical codebases where a multi-model 'second opinion' can catch subtle edge cases, architectural flaws, or security vulnerabilities that a single model might overlook.

主要功能

Configurable review modes for security, performance, and architecture
Automated 'second opinion' workflow for code quality assurance
122 GitHub stars
Seamless MCP-based integration of OpenAI Codex CLI
Parallel multi-expert reviews with up to 8 specialized personas
Automated environment setup and MCP registration guides

使用场景

Enhancing security audits with parallel expert model verification
Automating multi-agent architectural reviews during complex refactoring
Verifying mission-critical logic by comparing Claude and Codex analysis

关于

主要功能

Configurable review modes for security, performance, and architecture
Automated 'second opinion' workflow for code quality assurance
122 GitHub stars
Seamless MCP-based integration of OpenAI Codex CLI
Parallel multi-expert reviews with up to 8 specialized personas
Automated environment setup and MCP registration guides

使用场景

Enhancing security audits with parallel expert model verification
Automating multi-agent architectural reviews during complex refactoring
Verifying mission-critical logic by comparing Claude and Codex analysis