Verification & Quality Assurance

Run verification checks and truth scoring on code and agent outputs.

4|1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/ChrisWu0318/goder-code --skill verification-quality-assurance-chriswu0318
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Verification & Quality Assurance
Source: https://github.com/ChrisWu0318/goder-code/tree/main/.claude/skills/verification-quality
Command: npx skills add https://github.com/ChrisWu0318/goder-code --skill verification-quality-assurance-chriswu0318

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ensures reliable AI agent outputs and robust software quality by providing automated truth scoring, automated verification checks, and safe rollback mechanisms to prevent degraded behavior and buggy releases.

Core Features & Use Cases

  • Truth Scoring: real-time reliability metrics (0.0-1.0) for code, agents, and tasks.
  • Verification Checks: automated validation of code correctness, security, performance, and documentation.
  • Automatic Rollback: instant reversion of changes that fail verification with configurable thresholds.
  • CI/CD & Dashboards: exportable reports and live dashboards for monitoring quality over time.
  • Use Cases: ideal for AI-assisted development pipelines, release gating, and pair programming sessions with live feedback.

Quick Start

Run a comprehensive verification check on the current project and review the resulting truth scores.

Frequently Asked Questions about Verification & Quality Assurance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code quality verification and rollback in a CI/CD pipeline?

Automate code quality verification by running truth scoring and validation checks within your CI/CD pipelines. When changes fail to meet configurable thresholds, the system enforces quality by triggering an automatic rollback to prevent buggy releases.

What is truth scoring for AI agent outputs and how does it work?

Truth scoring provides real-time reliability metrics scaled from 0.0 to 1.0 for code, agents, and tasks. It works by running automated verification checks to validate correctness, security, and best practices, ensuring AI agent outputs meet quality standards.

How do I validate code correctness and security before a release?

Validate code correctness and security by running comprehensive automated verification checks. This process assesses performance and documentation, generating exportable JSON reports and live dashboards to monitor quality and gate your releases.

Can I integrate automated verification checks into AI-assisted development workflows?

Yes, you can integrate automated verification into AI-assisted development workflows. It supports pair programming sessions with live feedback, providing real-time dashboards and truth scoring to ensure reliable AI agent outputs during development.

What happens when code or agent outputs fail verification thresholds?

When code or agent outputs fail verification thresholds, the system performs an automatic rollback. This safe rollback mechanism instantly reverts the degraded changes to prevent buggy releases and ensure robust software quality.