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timurgaleev
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codex

Wrap the Codex CLI to review diffs, challenge code, and consult with pass/fail gating.

5|Updated Apr 24, 2026
Search Tags:#codex#diff#ai-assistant#code-review#adversarial#second-opinion
One-click install
npx skills add https://github.com/timurgaleev/vibestack --skill codex-timurgaleev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/timurgaleev/vibestack/tree/main/skills/codex
Command: npx skills add https://github.com/timurgaleev/vibestack --skill codex-timurgaleev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenAI Codex CLI wrapper — three modes. Code review: independent diff review via codex review with pass/fail gate. Challenge: adversarial mode that tries to break your code. Consult: ask codex anything with session continuity for follow-ups. The second-opinion reviewer from a completely different AI model.

Core Features & Use Cases

  • Code-review in three modes: review, challenge, consult; independent second opinions from a different AI model; gating via pass/fail for reviews.
  • Private, local workflow: runs on your machine without telemetry or cloud dependencies; sessions can be persisted; supports multiple IDEs and CLI interactions.
  • Use cases: validate changes on diffs, probe for adversarial edge cases, and consult on design decisions across languages and frameworks.

Quick Start

Install the codex skill and type /codex review to start a guided, multi-mode code-review session.

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 from a different AI model?▼

You can get an independent second opinion by running a cross-model code review using the adversarial consult mode, which provides diff validation and pass/fail gating against your original output.

Can I run a private AI code review locally without cloud telemetry?▼

Yes, private AI code review runs locally without telemetry or cloud dependencies, operating entirely on your machine while persisting session continuity for CLI and IDE interactions.

What is adversarial code review and when do I need it for my diffs?▼

Adversarial code review actively probes your code to break logic and expose edge cases. You need it to validate diffs and security decisions when standard review passes might miss hidden vulnerabilities.

How do I validate code changes using an adversarial AI workflow?▼

Validate code changes by initiating a challenge mode that attempts to break your code, followed by a consult mode to discuss design decisions with session continuity across multiple languages and frameworks.

Does the codex review workflow support pass/fail gating for continuous integration?▼

Yes, the codex review workflow supports pass/fail gating, providing a structured prompt mechanism that allows you to block code merges if the independent AI review detects quality or security issues.

What are the limitations of using a local CLI wrapper for AI-assisted code review?▼

A local CLI wrapper for AI-assisted code review requires the Codex CLI environment and limits cross-model evaluation to local resources, meaning it cannot leverage cloud scaling for large repository analysis.

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