How does the automatic rollback feature work?

If a verification check falls below your specified threshold (default 0.95), the system utilizes Git integration to instantly revert files to their last known good state.

Is the quality threshold customizable?

Yes, you can set global, environmental, or per-task thresholds, allowing you to require higher accuracy (e.g., 0.99) for production and more leniency for development.

Can I integrate this skill with GitHub Actions?

Yes, the skill provides structured JSON output and CLI commands specifically designed for easy integration with GitHub Actions, GitLab CI, and other automation platforms.

What specific quality checks does the skill perform?

It evaluates code correctness (syntax and logic), security (vulnerability and secret detection), performance (complexity and memory), and documentation accuracy.

What is a Truth Score in this context?

A Truth Score is a real-time reliability metric ranging from 0.0 to 1.0 that evaluates the quality, correctness, and statistical confidence of code changes or agent tasks.

Verification & Quality Assurance

Name: Verification & Quality Assurance
Author: Microck

byMicrock

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Security & Testing

Ensures codebase reliability through real-time truth scoring, automated quality verification, and an intelligent rollback system for AI-generated outputs.

About

This skill serves as a rigorous safety and validation layer for AI-driven development by quantifying the reliability of agent outputs on a 0.0 to 1.0 scale. It automates high-standard checks for security, performance, and architectural best practices, while providing a critical failsafe mechanism that automatically reverts changes failing to meet defined quality thresholds. Designed for production environments, it offers comprehensive monitoring via live dashboards and seamless integration with CI/CD pipelines to maintain high-confidence code standards.

Key Features

Real-time Truth Scoring (0.0-1.0 scale) for agents and codebase tasks
89 GitHub stars
Intelligent automatic rollback system for changes failing quality thresholds
Automated verification for security, performance, and coding best practices
Comprehensive CI/CD integration with JSON, CSV, and HTML reporting
Interactive monitoring dashboards with live reliability and trend analysis

Use Cases

Monitoring and benchmarking the long-term reliability of different AI coding agents
Implementing a safety net that reverts low-quality refactors in high-stakes environments
Automating the validation of AI-generated pull requests before production deployment

About

Key Features

Real-time Truth Scoring (0.0-1.0 scale) for agents and codebase tasks
89 GitHub stars
Intelligent automatic rollback system for changes failing quality thresholds
Automated verification for security, performance, and coding best practices
Comprehensive CI/CD integration with JSON, CSV, and HTML reporting
Interactive monitoring dashboards with live reliability and trend analysis

Use Cases

Monitoring and benchmarking the long-term reliability of different AI coding agents
Implementing a safety net that reverts low-quality refactors in high-stakes environments
Automating the validation of AI-generated pull requests before production deployment