codex

Analyze code snippets, commits, or repositories for automated review and architectural assessment.

Updated Feb 20, 2026

Search Tags:#code review #security #ai #software quality #project review #automated assessment

Ready to run

npx skills add https://github.com/letitbk/cursor-setup --skill codex-letitbk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/letitbk/cursor-setup/tree/main/skills/codex
Command: npx skills add https://github.com/letitbk/cursor-setup --skill codex-letitbk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables developers and code reviewers to obtain automated, AI-driven assessments of code changes, improving code quality and catching issues early.

Core Features & Use Cases

Code Review: Provides detailed analysis and suggestions on code changes, focusing on security, performance, and best practices.
Second Opinions: Offers independent perspectives on implementation approaches or architecture decisions.
Scope Flexibility: Works with uncommitted changes, specific files, commits, or against branches, adapting to different review workflows.
Real-World Scenario: Developers can run it before merging a feature branch to ensure adherence to standards and uncover hidden bugs.

Quick Start

Use the codex skill to review your current unstaged code changes and get suggestions for improvements.

Frequently Asked Questions about codex

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I get an automated AI code review for uncommitted changes?▼

Automated AI code review for uncommitted changes analyzes your current working directory to provide suggestions on security, performance, and best practices. It evaluates code snippets or commits to catch issues early.

Can I use AI to get a second opinion on architecture decisions?▼

Yes, AI can provide a second opinion on architecture decisions by offering independent perspectives on your implementation approaches. This helps evaluate architectural choices before merging feature branches.

What is the best way to review an entire repository for software quality?▼

Reviewing an entire repository for software quality involves analyzing the full codebase against branches or commits to ensure adherence to standards. This automated assessment uncovers hidden bugs and fosters best practices.

Does automated code assessment work with specific commits or just full repositories?▼

Automated code assessment works with both specific commits and full repositories. It offers scope flexibility to analyze uncommitted changes, individual files, commits, or entire branches to adapt to different review workflows.

How do I customize the scope for an AI-powered project review?▼

You can customize the scope for an AI-powered project review by targeting specific files, commits, or branches. This implements customizable review scopes and models for either fast or deep analysis.