What languages does the documentation generator support?

It can document code in any language supported by Codex, and while it specializes in providing explanations in Japanese, it can be prompted for English output as well.

How does it handle large codebases?

It uses smart file reading strategies, limiting context to relevant files (max 10 files, 1000 lines each) and ignoring binary or git-ignored assets to ensure performance and stay within token limits.

Can I use it for security audits?

Yes, the code review mode specifically prioritizes security vulnerabilities like SQL injection, XSS, and improper sensitive data handling as top-tier review items.

Is the Codex MCP server required for this skill?

Yes, this skill requires an active connection to the Codex MCP server to function. It will check for the mcp__codex__codex tool before execution and provide setup instructions if it is missing.

Codex Integration

Name: Codex Integration
Author: gendosu

bygendosu

Collaboration Tools

Leverages the Codex MCP server to perform deep code reviews, technical research, and automated documentation generation with full project context.

About

The Codex skill acts as a bridge between Claude Code and the Codex MCP server, enabling a sophisticated workflow for high-level engineering tasks. It automatically gathers relevant project context—such as git diffs, technology stacks from configuration files, and design principles from CLAUDE.md—to construct optimized prompts for Codex. This ensures that code reviews are actionable, technical research is grounded in existing project patterns, and documentation is accurate to the current codebase, significantly reducing the manual effort required for complex technical queries.

Key Features

Automated Markdown documentation generation for APIs and modules
Deep security and logic code reviews with priority-based reporting
0 GitHub stars
Automated context gathering from git diffs and tech stacks
Context-aware technical research and best practice investigation
Smart project principles extraction from CLAUDE.md and READMEs

Use Cases

Performing comprehensive code reviews before submitting a pull request
Researching the best architectural patterns for a specific tech stack
Generating high-quality API documentation from existing source code

About

Key Features

Automated Markdown documentation generation for APIs and modules
Deep security and logic code reviews with priority-based reporting
0 GitHub stars
Automated context gathering from git diffs and tech stacks
Context-aware technical research and best practice investigation
Smart project principles extraction from CLAUDE.md and READMEs

Use Cases

Performing comprehensive code reviews before submitting a pull request
Researching the best architectural patterns for a specific tech stack
Generating high-quality API documentation from existing source code