codex

Run codex CLI reviews on git diffs with pass/fail gates.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/Jaykaijack/openclaw-backup --skill codex-jaykaijack
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/Jaykaijack/openclaw-backup/tree/main/skills/gstack/codex
Command: npx skills add https://github.com/Jaykaijack/openclaw-backup --skill codex-jaykaijack

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a fast, independent second opinion on code changes by running an external Codex-powered CLI to perform thorough code reviews, adversarial challenge sessions, and interactive consultations so maintainers can surface hidden issues, edge cases, and security risks before shipping.

Core Features & Use Cases

  • Review Mode: Run codex review against a branch diff with a pass/fail gate and token/cost reporting for CI-ready assessments.
  • Challenge Mode: Launch adversarial analysis that actively looks for race conditions, injection vectors, silent data corruption, and other failure modes.
  • Consult Mode: Interactive conversational Q&A with session continuity, plan-file integration, and JSONL reasoning traces for reproducibility.
  • Cross-model Comparison & Telemetry: Compare findings with other reviews, persist session IDs, and log telemetry and review outcomes for auditability.

Quick Start

Ask the codex skill to review the current branch diff by saying: /codex review

Frequently Asked Questions about codex

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

FAQPage Schema
How can I run an independent AI code review on a git branch diff?

To run an independent AI code review on a git branch diff, you can use the codex skill's Review Mode. It executes an external Codex-powered CLI against your diff to provide thorough assessments with pass/fail gates and token cost reporting.

What is adversarial testing for code changes and how does it find hidden issues?

Adversarial testing for code changes actively hunts for race conditions, injection vectors, and silent data corruption. The codex skill's Challenge Mode launches this analysis to surface hidden security risks and failure modes before shipping.

Do I need a specific CLI installed to perform AI code reviews on repository diffs?

Yes, you need the codex CLI installed to perform AI code reviews on repository diffs. The skill requires this external CLI, session persistence for follow-ups, and JSONL output support to execute its analysis.

How do I perform interactive Q&A consultations with session continuity for code reviews?

To perform interactive Q&A consultations with session continuity, use the Consult Mode. It integrates plan files, persists session IDs, and logs JSONL reasoning traces to ensure reproducibility across conversational code analysis.

Can I compare AI code review findings with other tools and log telemetry?

Yes, you can compare AI code review findings with other tools and log telemetry. The skill supports cross-model comparison, persists session IDs for auditability, and logs telemetry outcomes alongside review results.

What is the best way to identify edge cases and security risks before shipping code?

The best way to identify edge cases and security risks before shipping code is using an independent adversarial AI review. This approach executes focused challenges against repository diffs to actively surface failure modes like injection vectors.