codex

Invoke the OpenAI Codex CLI to critique code diffs and propose improvements.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/algorithmbasics/gstack --skill codex-algorithmbasics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/algorithmbasics/gstack/tree/main/codex
Command: npx skills add https://github.com/algorithmbasics/gstack --skill codex-algorithmbasics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenAI Codex CLI is wrapped to provide an independent, brutally honest second opinion on your code. It helps teams challenge assumptions, spot edge cases, and push for higher code quality.

Core Features & Use Cases

  • Independent evaluation: critique diffs, propose improvements, and challenge assumptions.
  • Adversarial mode: attempts to break and stress test code to uncover weaknesses.
  • Session continuity: maintains context for follow-ups across prompts and reviews.
  • Plan-mode friendly: integrates into standard developer workflows with clear feedback loops.

Quick Start

Invoke Codex for a brutal second opinion on your code by running /codex with your latest changes.

Frequently Asked Questions about codex

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

FAQPage Schema
How do I get an independent second opinion on my code changes?

To get an independent second opinion on code changes, you can invoke the Codex CLI to critique diffs, propose improvements, and challenge assumptions. It applies input detection and mode selection to return structured feedback for your developer workflow.

What is adversarial testing for code reviews and how does it work?

Adversarial testing for code reviews attempts to break and stress test code to uncover weaknesses. The Codex CLI implements this mode by critically evaluating diffs and challenging developer assumptions from an outsider perspective.

Can I use CLI-based AI code review across different git branches?

Yes, you can use AI code review across different git branches. The tool applies input detection to evaluate diffs and maintains session continuity for follow-ups across prompts and branches during your review.

How do I integrate an AI code critique tool into a plan-mode developer workflow?

You integrate an AI code critique tool into plan-mode workflows by running it with your latest changes to receive structured feedback. It supports clear feedback loops and session continuity for standard developer processes.

What are the limitations of using CLI tools for automated code review?

Limitations of CLI tools for automated code review include relying entirely on AI interpretation of diffs rather than runtime execution. It provides a critical perspective and proposes improvements, but requires developer judgment to apply the structured feedback safely.