codex

Wrap the Codex CLI to critique code changes in review, challenge, and consult modes.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/jm199seo/lostark-accessory-viewer --skill codex-jm199seo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/jm199seo/lostark-accessory-viewer/tree/main/.claude/skills/gstack/codex
Command: npx skills add https://github.com/jm199seo/lostark-accessory-viewer --skill codex-jm199seo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenAI Codex output can be biased or flawed. This skill provides an independent, brutally honest second opinion by wrapping the Codex CLI and presenting gate results verbatim for review, challenge, or consult use cases.

Core Features & Use Cases

  • Review mode: independent code diff review with a pass/fail gate.
  • Challenge mode: adversarial analysis to break changes and reveal edge cases.
  • Consult mode: ask Codex questions with session continuity for follow-ups.

Quick Start

Invoke the skill with /codex review, /codex challenge, or /codex to open an autonomous second opinion workflow.

Frequently Asked Questions about codex

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

FAQPage Schema
How do I get a second opinion on Codex generated code?

To get a second opinion on Codex code, use an independent workflow that wraps the Codex CLI to critique diffs directly from your repository. Review mode provides a pass/fail gate for autonomous evaluation.

What is adversarial code review for AI generated diffs?

Adversarial code review for AI generated diffs is a challenge mode that attempts to break changes and reveal hidden edge cases. It wraps the Codex CLI to provide an independent, brutally honest analysis of your code.

Can I ask Codex follow up questions about a code review?

Yes, you can ask Codex follow up questions using consult mode. This mode maintains session continuity, allowing you to ask questions and receive verbatim results while preserving session data for future comparisons.

How does an independent AI workflow handle Codex authentication errors?

An independent AI workflow handles Codex authentication errors by logging usage and managing timeouts gracefully. It preserves session data for traceability and routes results verbatim for auditing and safety checks.

When should I use challenge mode instead of review mode for code diffs?

Use challenge mode when you need adversarial analysis to break changes and reveal edge cases, whereas review mode is for standard independent code diff review with a pass/fail gate to validate output safety.