What specific criteria does the verification check evaluate?

The system evaluates code correctness (syntax and logic), security vulnerabilities, adherence to best practices (like SOLID), performance complexity, and documentation quality.

Does it support real-time monitoring?

Yes, it includes an interactive web-based dashboard and a watch mode that provides live updates on truth scores and verification status as you develop.

How does the automatic rollback feature work?

It leverages Git integration to instantly revert codebase changes if an automated verification check fails to meet the specified accuracy threshold.

Can I integrate this skill into GitHub Actions or GitLab CI?

Yes, the skill provides structured JSON output and reporting commands specifically designed for seamless integration into continuous integration and deployment pipelines.

What is a Truth Score in this skill?

A Truth Score is a reliability metric on a 0.0 to 1.0 scale that evaluates the quality, correctness, and security of code or agent tasks, where 0.95+ is considered production-ready.

Verification & Quality Assurance

Name: Verification & Quality Assurance
Author: Microck

byMicrock

•

Security & Testing

Ensures codebase reliability through automated truth scoring, real-time quality metrics, and intelligent rollback systems.

This skill provides a robust framework for maintaining high-quality outputs in AI-driven development by implementing a sophisticated truth scoring system. It automates rigorous verification checks across code correctness, security, and performance, while offering a safety net with automatic Git-based rollbacks for any changes that fall below a 0.95 accuracy threshold. Ideal for developers integrating Claude into CI/CD pipelines, it ensures that agent-generated code meets production standards through statistical analysis, live dashboards, and comprehensive reporting.

Key Features

0181 GitHub stars

02Automated Truth Scoring (0.0-1.0 scale) for code and agent tasks

03Comprehensive CI/CD integration with JSON, HTML, and CSV exports

04Automatic Git-based rollbacks for changes failing quality thresholds

05Real-time verification checks for security, logic, and best practices

06Interactive live dashboards for monitoring agent performance trends

Use Cases

01Ensuring AI-generated code meets strict production quality standards before merging

02Monitoring and auditing AI agent reliability and performance over time

03Automating quality gates in CI/CD pipelines to prevent regressions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills verification-quality-assurance

For use in Claude.ai and ChatGPT

Download Skill