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codex

Invoke Codex CLI to generate structured JSON second opinions on code and architecture.

15|2|Updated Aug 29, 2025
Search Tags:#code review#OpenAI#Codex#multi-model#security review#AI validation#architecture review
One-click install
npx skills add https://github.com/keboola/osiris --skill codex-keboola
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/keboola/osiris/tree/main/.claude/skills/codex
Command: npx skills add https://github.com/keboola/osiris --skill codex-keboola

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires codex-cli, and includes references (resource) components.

What problem does it solve?

When making critical decisions in software development, architecture, or security, relying on a single AI perspective can be risky. This Skill provides a crucial "second opinion" by leveraging OpenAI's Codex CLI, allowing you to validate your own analysis, compare insights from different models, and ensure more robust, well-vetted outcomes.

Core Features & Use Cases

  • Multi-Model Validation: Compare Claude's analysis with insights from OpenAI models (GPT-5, O4-mini) for comprehensive review and reduced blind spots.
  • Structured Output: Generate predictable JSON responses using schemas for architectural assessments, security reviews, or code analysis, making integration and parsing effortless.
  • Code & Architecture Review: Get an external AI perspective on code quality, potential vulnerabilities, performance bottlenecks, and design choices, enhancing your team's review process.
  • Use Case: You've designed a new microservice architecture and Claude has provided initial feedback. Use this Skill to get an independent assessment from OpenAI Codex, identifying any overlooked risks or alternative approaches, ensuring your design is thoroughly vetted before implementation.

Quick Start

Use the codex skill to get a second opinion on the security of the 'osiris/mcp/server.py' file.

Frequently Asked Questions about codex

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

FAQPage Schema
How do I get a second opinion on code security from an AI model?▼

Use the codex skill to invoke OpenAI Codex CLI for independent AI validation of code security. The skill analyzes files like 'osiris/mcp/server.py' and returns structured assessments, complementing your initial analysis with a fresh perspective on vulnerabilities and architectural risks.

Can I compare multiple AI models' analysis on the same code review?▼

Yes, multi-model validation lets you compare Claude's analysis with OpenAI models (GPT-5, O4-mini) via codex exec using the -m flag. This reduces blind spots by combining insights from different models on architectural decisions, code quality, and security.

How do I get structured JSON output from code review analysis?▼

The codex skill generates predictable JSON responses using schemas via --output-schema and --output-last-message flags. This produces machine-parseable architectural assessments and security reviews that integrate directly into your workflow.

What's the best way to validate a new microservice architecture design?▼

Use the codex skill to obtain independent AI validation of your architecture from OpenAI Codex after initial design review. It identifies overlooked risks, alternative approaches, and design vulnerabilities before implementation, ensuring thorough vetting.

Do I need OpenAI API credentials to use code review with Codex?▼

Yes, the codex skill requires codex-cli as a dependency. You configure models via -m, set working directories with -C, and run in sandbox mode. Ensure OpenAI Codex CLI is installed and your environment is properly set up before use.

What are the limitations of using a single AI model for architecture review?▼

Relying on one AI perspective creates blind spots in critical software decisions. The codex skill addresses this by providing external validation through multi-model comparison, catching risks and design gaps that a single model might miss.

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