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codex

Wrap the Codex CLI to review code diffs against base branches.

Updated Mar 31, 2026
Search Tags:#automation#cli#codex#ai-assistant#code-review#adversarial
One-click install
npx skills add https://github.com/ComputerConnection/zach-pack --skill codex-computerconnection
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/ComputerConnection/zach-pack/tree/main/skills/gstack-codex
Command: npx skills add https://github.com/ComputerConnection/zach-pack --skill codex-computerconnection

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides an independent AI-driven assessment of code changes by wrapping the Codex CLI to offer reviews, adversarial challenges, and consult-style prompts.

Core Features & Use Cases

  • Independent review on diffs against base branches
  • Adversarial challenge to surface edge cases and failure modes
  • Flexible prompts for plan- or prompt-driven code analysis

Quick Start

Run /codex review on your current branch to get an independent assessment.

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 AI code review on my current branch?▼

You can get an independent AI code review by running the Codex CLI wrapper against diffs on your base branch. This provides an automated, unbiased assessment of your code changes without requiring manual peer input.

Can I use an adversarial challenge to find edge cases in my code?▼

Yes, an adversarial challenge surfaces edge cases and failure modes in your code by applying an independent AI-driven assessment. This approach critiques your code changes to identify potential vulnerabilities before deployment.

Do I need the Codex CLI installed to run automated code analysis?▼

Yes, you need the Codex CLI enabled to run this automated code analysis, as the tool wraps its functionality. Optional web search caching and model selection features are also supported for enhanced review capabilities.

What is the best way to review plan-oriented code prompts using an AI assistant?▼

The best way to review plan-oriented code prompts is using a consult mode that applies flexible, AI-driven analysis to your plans. This evaluates your prompt-driven code changes against the base branch for comprehensive feedback.

Does this approach to code review support token accounting and model selection?▼

Yes, this AI-driven code review supports token accounting to track usage and optional model selection to customize the assessment. These features ensure you maintain control over resource consumption during the review process.

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