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codex

Automate code review with pass/fail gates for independent diff analysis.

1|Updated Mar 24, 2026
Search Tags:#code quality#code review#AI analysis#second opinion#code consultation
One-click install
npx skills add https://github.com/greencm/gstuck --skill codex-greencm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/greencm/gstuck/tree/main/output/gstack/codex
Command: npx skills add https://github.com/greencm/gstuck --skill codex-greencm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Bash, Read, Write, Glob, Grep, AskUserQuestion, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies code reviews and consultations by leveraging AI to provide insights, second opinions, and code analysis, saving time and improving code quality.

Core Features & Use Cases

  • Code Review: Automated code review with pass/fail gates for independent diff analysis.
  • Second Opinion: Get an "autistic developer" perspective on your code.
  • Consultation: Ask AI anything about code with session continuity for follow-ups.
  • Use Case: When you need to ensure your code is robust and efficient, use the codex skill to perform a review or seek a second opinion.

Quick Start

Run the 'codex review' command to initiate a code review.

Frequently Asked Questions about codex

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

FAQPage Schema
How do I automate code review for independent diff analysis?▼

You can automate code review by initiating a session with the codex tool, which provides independent diff analysis and pass/fail gates to evaluate code quality without manual line-by-line inspection.

Can I get an AI second opinion on my code to catch edge cases?▼

Yes, you can get a second opinion through the adversarial challenge feature, which analyzes your code from an independent perspective to identify potential robustness and efficiency issues.

How does session-based code consultation work for follow-up questions?▼

Session-based code consultation maintains continuity across your questions, allowing you to ask an AI anything about your code and receive context-aware answers for iterative follow-up queries.

Do I need Bash and Grep tools to run AI code analysis?▼

Yes, this AI code analysis requires Bash, Read, Write, Glob, Grep, and AskUserQuestion tools to automate the review workflows, read diffs, and interactively consult on code quality.

What is the best way to ensure code robustness before merging?▼

The best way to ensure robustness is to run an automated code review with pass/fail gates, leveraging AI insights and independent diff analysis to validate code quality before integration.

Are there limitations to using AI for collaborative code quality assurance?▼

AI code quality assurance is limited by the context provided in the session and the capabilities of the integrated tools, meaning complex architectural decisions may still require human consensus.

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