codex

Review, challenge, or consult on code changes using Codex CLI.

1|Updated Dec 23, 2025
One-click install
npx skills add https://github.com/rkumar261/studio-cast --skill codex-rkumar261
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/rkumar261/studio-cast/tree/main/.claude/skills/gstack/codex
Command: npx skills add https://github.com/rkumar261/studio-cast --skill codex-rkumar261

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codex is a brutally honest, independent second-opinion wrapper around the Codex CLI to review, challenge, or consult on code changes.

Core Features & Use Cases

  • Review mode: standard code review against the base branch with gatekeeping.
  • Challenge mode: adversarial prompts to uncover edge cases, security issues, and robustness gaps.
  • Consult mode: interactive prompts to ask Codex about design decisions or explanations with session continuity.
  • Plan-aware prompts, streaming outputs, and optional telemetry to support reproducibility and auditing.

Quick Start

Run /codex review to start a code review against the base branch.

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 code review on my current diff against the base branch?

Run a code review against the base branch using the review mode to get independent, brutally honest second opinions on your current diffs. It provides standard gatekeeping and checks your changes for issues.

What is the best way to uncover security issues and edge cases in my code changes?

Use the adversarial challenge mode to uncover security issues, robustness gaps, and edge cases in your code changes. It applies adversarial prompts to aggressively test the logic and resilience of your modifications.

Can I ask an AI assistant about specific design decisions and get explanations with session continuity?

Yes, you can use the consult mode to interactively ask an AI assistant about design decisions or explanations with session continuity. It provides a continuous interactive prompt for in-depth consultation.

How does plan-aware code review with streaming outputs support reproducibility and auditing?

Plan-aware prompts and streaming outputs support reproducibility and auditing by maintaining consistent review logic and providing optional telemetry hooks. This allows you to trace and verify the AI assistant's code review process.