ai-cross-verifier

Cross-verify Claude-generated plans and code with Codex and Gemini.

30|10|Updated Oct 26, 2025

Search Tags:#quality assurance #code review #Codex #AI validation #Gemini #plan validation #multi-AI

Ready to run

npx skills add https://github.com/centminmod/claude-code-devcontainers --skill ai-cross-verifier

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-cross-verifier
Source: https://github.com/centminmod/claude-code-devcontainers/tree/main/.claude/skills/ai-cross-verifier
Command: npx skills add https://github.com/centminmod/claude-code-devcontainers --skill ai-cross-verifier

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai-codex-cli, google-gemini-cli.

What problem does it solve?

This Skill eliminates the guesswork in code and plan validation by providing independent, multi-AI verification. It reduces the risk of errors and improves decision-making by offering diverse perspectives on your work.

Core Features & Use Cases

Multi-AI Validation: Cross-verify Claude-generated code and plans using OpenAI Codex and Google Gemini CLI for independent analysis.
Comparative Analysis: Get synthesized reports highlighting consensus findings, unique insights from each AI, and areas of disagreement for deeper investigation.
Use Case: Before deploying a critical feature, use this Skill to get independent code reviews from two different AI models, ensuring robustness and catching subtle bugs that a single AI might miss.

Quick Start

Use the ai-cross-verifier skill to get a second opinion on the attached 'auth.js' file using both Codex and Gemini for a comprehensive code review.

Frequently Asked Questions about ai-cross-verifier

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

FAQPage Schema

How do I validate code quality using multiple AI models?▼

Multi-AI validation cross-verifies your code and plans using independent reviewers like OpenAI Codex and Google Gemini, catching errors a single model might miss and reducing deployment risk through consensus checking.

Can I get comparative code reviews from different AI systems?▼

Yes. This Skill synthesizes side-by-side analysis from Codex and Gemini, highlighting consensus findings, unique insights from each model, and disagreement areas for deeper investigation.

What input formats does multi-AI code verification support?▼

The Skill handles both file-based and snippet-based input, accepting code files and architectural designs for parallel verification across multiple AI reviewers.

When should I use independent AI verification before deployment?▼

Use this for critical features where subtle bugs pose high risk. Multi-model validation detects issues single-model review misses and improves decision confidence through diverse AI perspectives.

Does this work with architectural design validation?▼

Yes. Beyond code review, the Skill validates software plans and architectural designs using orchestrated prompts across Codex and Gemini for comprehensive plan analysis.

What's the difference between single and multi-AI code review?▼

Single-model review risks overlooking context-dependent errors. Multi-AI validation provides independent verification, consensus signals, and model-specific insights that improve code robustness and catch edge cases.