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codex-cli

Review code and validate design decisions using OpenAI Codex CLI.

2|Updated Feb 15, 2026
Search Tags:#code review#debugging#software design#ai assistant#codex cli#second opinion
One-click install
npx skills add https://github.com/nakano1122/dotfiles --skill codex-cli-nakano1122
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codex-cli
Source: https://github.com/nakano1122/dotfiles/tree/main/dot_agents/skills/codex-cli
Command: npx skills add https://github.com/nakano1122/dotfiles --skill codex-cli-nakano1122

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enhances AI development workflows by leveraging OpenAI Codex CLI as a secondary AI perspective for rigorous code review, design validation, and complex debugging hypothesis generation, improving overall decision quality.

Core Features & Use Cases

  • Second Opinion on Design: Get AI-driven feedback on architectural decisions and technology choices.
  • Strict Code Review: Utilize AI to identify security vulnerabilities, performance issues, and potential bugs in code changes.
  • Debugging Hypothesis: Generate potential causes and investigation steps for complex or intermittent bugs.
  • Use Case: When facing a critical architectural decision, use this Skill to have Codex CLI review the proposed design against scalability and security best practices, providing an alternative viewpoint to the primary AI.

Quick Start

Ask codex-cli to review the attached git diff for security vulnerabilities.

Frequently Asked Questions about codex-cli

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

FAQPage Schema
How do I use AI for strict code review on security and performance issues?▼

AI code review uses a secondary agent to analyze git diffs for security vulnerabilities, performance bottlenecks, and potential bugs. It provides a rigorous alternative viewpoint to validate code changes against best practices.

What is a debugging hypothesis and when do I need one for complex issues?▼

A debugging hypothesis is a generated list of potential causes and investigation steps for complex or intermittent bugs. You need this approach when facing difficult software defects that require structured investigation.

Can I get a second opinion on architectural design decisions using an AI assistant?▼

You can get a second opinion on design decisions by prompting a secondary AI agent to review architectural choices. It validates critical decisions against scalability and security best practices to improve overall quality.

Does the Codex CLI integration work for validating software design choices?▼

The Codex CLI integration works for validating software design by executing prompts through the tool and selecting models for analysis. It applies a secondary perspective to review proposed architectures.

What are the limitations of using a secondary AI agent for code review?▼

The limitation of a secondary AI agent for code review is that it requires integration with the Codex CLI tool for prompt execution. It serves as a supplementary perspective rather than an automated fix.

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