codex

Wrap the Codex CLI to orchestrate code review, adversarial testing, and consult sessions.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/MissTully/Gstack --skill codex-misstully
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/MissTully/Gstack/tree/main/codex
Command: npx skills add https://github.com/MissTully/Gstack --skill codex-misstully

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Wraps the OpenAI Codex CLI to manage three modes—code review, adversarial challenge, and consult—so engineers can run deterministic reviews, test resilience, and surface Codex-driven insights without manual setup.

Core Features & Use Cases

  • Independent diff review via codex review with pass/fail gating to enforce quality.
  • Adversarial mode that tries to break your code to surface edge cases and strengthen robustness.
  • Consult: ask Codex anything with session continuity for follow-ups, preserving context across interactions.

Quick Start

Invoke the codex wrapper on your repository and select the desired mode (review, challenge, or consult) to start.

Frequently Asked Questions about codex

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

FAQPage Schema
How do I run an automated code review on my repository diff?

Run an automated code review by invoking the codex wrapper to execute an independent diff review with pass/fail gating to enforce quality standards across your project.

What is adversarial testing for code and how does it find edge cases?

Adversarial testing attempts to break your code to surface edge cases and strengthen robustness by probing vulnerabilities through the challenge mode of the codex wrapper.

Does the Codex CLI wrapper support session continuity for follow-up questions?

Yes, the consult mode provides session continuity for follow-ups, preserving context across interactions so you can maintain continuous Codex assistance with your project.

Can I use YAML frontmatter to load activation context for code reviews?

Yes, the wrapper implements YAML frontmatter-driven discovery and multi-tool integration to load and apply activation context for deterministic code reviews and adversarial probing.

What are the limitations of using a CLI wrapper for adversarial code challenges?

The wrapper requires the OpenAI Codex CLI and applies deterministic logic, meaning adversarial challenges are bound to the CLI's probing capabilities and the project's configured context.