Multi-AI Quality Verification

About

This skill provides a comprehensive quality assurance framework designed to eliminate bias and prevent test gaming by establishing a rigorous, independent verification pattern. It validates code across five distinct layers: rules-based linting, functional test execution, visual UI validation, system-level integration, and final quality scoring using an LLM-as-judge pattern. With a mandatory score threshold of 90/100, it ensures that code is not just functional, but also secure, maintainable, and fully ready for production deployment.

Key Features

• 5-Layer Verification Pyramid ranging from automated rules to quality scoring
• Independent verification pattern to prevent implementation bias
• 0 GitHub stars
• Integrated security scanning (SAST) and accessibility validation
• Objective 0-100 scoring with a strict 90+ production threshold
• LLM-as-judge and Agent-as-a-Judge evaluation patterns

Use Cases

• Final quality gate before committing or deploying code to production
• Independent security and compliance auditing for complex features
• Verifying the integrity of test suites to prevent test gaming and false positives