Verification & Quality Assurance FAQs

Question 1

What is 'Truth Scoring' and how is it used?

Accepted Answer

Truth Scoring is a real-time reliability metric that measures the accuracy and quality of agent outputs. By setting a threshold (defaulting at 0.95), you can ensure that only high-confidence code changes are merged, while lower-scoring tasks are flagged for review or automatically rolled back.

Question 2

How does this skill improve my AI development workflow?

Accepted Answer

It reduces manual code review time by automating best-practice checks and security scans. By providing detailed quality metrics and an interactive dashboard, it gives developers high-level visibility into agent performance and codebase health trends.

Question 3

When should I use the smart rollback feature?

Accepted Answer

You should use the smart rollback feature whenever a verification check fails or if an AI-generated refactor introduces unexpected behavior. It leverages Git to instantly revert to the last 'known good' state, ensuring your main branch remains stable during rapid AI development.

Question 4

What does the Verification & Quality Assurance skill do?

Accepted Answer

This skill acts as a safety and quality layer for Claude Code. It evaluates AI-generated code using a 0.0-1.0 'truth scoring' system, runs automated checks for security and performance, and provides a smart rollback mechanism to revert changes that don't meet your quality standards.

Question 5

Can I integrate this skill into my existing CI/CD pipeline?

Accepted Answer

Yes. The skill supports exporting verification reports and truth metrics in JSON, CSV, and HTML formats. This allows you to set automated gates in your CI/CD pipeline that prevent deployment if the quality scores fall below your defined thresholds.

Verification & Quality Assurance

Verification & Quality Assurance

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