cross-modal-review

Orchestrate a secondary AI model review to validate code changes.

45|11|Updated Mar 17, 2026

Search Tags:#quality assurance #code review #security #validation #multi-model #adversarial testing

Ready to run

npx skills add https://github.com/beyonai/ByClaw --skill cross-modal-review-beyonai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cross-modal-review
Source: https://github.com/beyonai/ByClaw/tree/main/middleware/openclaw/skills/gbrain/references/cross-modal-review
Command: npx skills add https://github.com/beyonai/ByClaw --skill cross-modal-review-beyonai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill mitigates the risk of AI hallucinations and logic errors by implementing a mandatory second-opinion quality gate before any work product is finalized.

Core Features & Use Cases

Refusal Routing: Automatically switches to a secondary model if the primary reviewer refuses a request, ensuring continuous validation.
Adversarial Review: Challenges code and architectural decisions to identify security vulnerabilities, race conditions, or logic flaws.
Use Case: Before committing a complex refactor, invoke this skill to have a secondary model verify the code against the original contract, ensuring the changes meet all specified requirements without introducing regressions.

Quick Start

Invoke the cross-modal-review skill to perform an adversarial check on the current code diff before finalizing the commit.

Frequently Asked Questions about cross-modal-review

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

FAQPage Schema

How do I validate code changes using a secondary AI model before committing?▼

Multi-model consensus validates work products by orchestrating a secondary AI model review process to challenge code and architectural decisions, identifying security vulnerabilities and logic flaws before finalizing high-stakes development tasks.

What is adversarial testing for security-sensitive refactors and how does it work?▼

Adversarial testing for security-sensitive refactors challenges architectural decisions to identify security vulnerabilities, race conditions, or logic flaws by applying a mandatory second-opinion quality gate before any work product is finalized.

Can I use multi-model code review if the primary reviewer refuses my request?▼

Yes, multi-model code review supports refusal routing, which automatically switches to a secondary model if the primary reviewer refuses a request, ensuring continuous validation without interrupting the workflow.

Does cross-modal-review work with external code-review tools for complex logic implementation?▼

Cross-modal-review requires integration with external code-review tools and model-routing conventions to provide transparent, multi-perspective quality assurance for complex logic implementation and architectural changes.

When should I not use a secondary AI model review process for quality assurance?▼

You should avoid using a secondary AI model review process for low-stakes or trivial code modifications, as the mandatory second-opinion quality gate is designed specifically for high-stakes tasks like architectural changes and security-sensitive refactors.

Why does AI hallucination mitigation require a mandatory second-opinion quality gate?▼

AI hallucination mitigation requires a mandatory second-opinion quality gate because it validates work products against the original contract, ensuring complex refactors meet specified requirements without introducing regressions or logic errors.