Verification & Quality Assurance

About

This skill provides a robust safety net for AI-driven development by implementing a comprehensive verification framework that evaluates code against a 0.95 accuracy threshold. It features a unique Truth Scoring system that assigns real-time reliability metrics to agent outputs, alongside automated checks for security, performance, and best practices. With its built-in Git integration, the skill can automatically roll back changes that fail to meet quality standards, while offering deep visibility into codebase health through interactive dashboards and detailed CI/CD-ready reports.

Key Features

• 0 GitHub stars
• Interactive web-based dashboard with live metrics and trend visualizations
• Smart rollback system that reverts failed changes to the last known good state
• Full CI/CD integration with structured JSON and HTML report exports
• Automated verification for security vulnerabilities, syntax, and performance
• Real-time Truth Scoring (0.0-1.0) to measure agent and task reliability

Use Cases

• Monitoring agent performance and reliability trends across large-scale tasks
• Automating code reviews and security audits within continuous integration pipelines
• Establishing a quality gate for AI-generated code in production environments