Verification & Quality Assurance

关于

This skill provides a robust safety net for AI-driven development by implementing a comprehensive verification system with a 0.95 accuracy threshold. It combines real-time reliability metrics, automated security and best-practice checks, and an instant rollback mechanism to protect your codebase from regressions or low-quality agent tasks. Whether integrated into CI/CD pipelines or used during live pairing, it offers deep statistical insights and interactive dashboards to maintain a production-ready repository with quantifiable confidence.

主要功能

• Native CI/CD integration with structured JSON/HTML reporting for automated pipelines
• 0 GitHub stars
• Interactive web-based dashboard for monitoring quality metrics and agent performance
• Automatic rollback system that reverts changes failing to meet the 0.95 threshold
• Real-time truth scoring (0.0-1.0) for code reliability and agent task accuracy
• Automated verification checks for security, logic flow, and code best practices

使用场景

• Preventing low-quality AI-generated code from being merged into production branches
• Automating regression testing and security audits within a Claude Flow environment
• Monitoring long-term reliability trends of AI agents across complex development tasks