Verification & Quality Assurance

About

This skill provides a robust safety layer for AI-driven development by implementing a quantitative 'truth scoring' system and automated quality guardrails. It evaluates agent outputs and code changes against a 0.95 accuracy threshold, performing deep checks for security, performance, and best practices. With integrated features like automatic Git-based rollbacks for failed validations and real-time monitoring dashboards, it enables developers to maintain high-confidence production environments while leveraging AI agents for complex tasks.

Key Features

• Automated security, logic, and best practice verification checks
• Interactive web-based dashboard for quality metrics and trends
• Smart automatic rollback system for changes failing quality thresholds
• Real-time Truth Scoring (0.0-1.0 scale) for code and agent tasks
• 2 GitHub stars
• Comprehensive CI/CD integration with JSON and HTML reporting

Use Cases

• Validating AI-generated code quality before merging into production
• Monitoring long-term agent performance and reliability trends
• Automating safety gates in continuous integration pipelines