quality-gates

Validates engineering changes by requiring evidence and reviewing lifecycle gates.

Updated Jun 28, 2026
One-click install
npx skills add https://github.com/Mesteriis/Engineering-Bible-AI --skill quality-gates-mesteriis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quality-gates
Source: https://github.com/Mesteriis/Engineering-Bible-AI/tree/main/skills/quality-gates
Command: npx skills add https://github.com/Mesteriis/Engineering-Bible-AI --skill quality-gates-mesteriis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit helps in maintaining non-trivial engineering outputs by providing a lightweight control layer that ensures evidence-binding, lifecycle awareness, reviewability, and resistance to drift.

Core Features & Use Cases

  • Evidence Binding: Ensures that important factual claims have evidence to support them.
  • Lifecycle Awareness: Monitors the task execution lifecycle and prompts review at critical stages.
  • Reviewability: Facilitates reviews of behavior changes and adds or updates regression coverage when defects are fixed.
  • Resistance to Drift: Treats library drift as a repository bug, enhancing repository integrity.
  • Use Case: Ideal for validating, integrating, or reviewing non-trivial engineering changes like code updates, repository structure changes, or installer modifications.

Quick Start

Activate the 'quality-gates' skill before making significant changes to ensure the output adheres to quality standards.

Frequently Asked Questions about quality-gates

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

FAQPage Schema
How do I ensure engineering changes have evidence before review?

Engineering changes require evidence by binding factual claims to supporting proof, monitoring the task lifecycle, and prompting reviews at critical stages to ensure quality. This approach maintains output integrity by actively validating that important claims have evidence before proceeding.

When do I need lifecycle gates for code changes?

Lifecycle gates are needed for non-trivial code changes, repository structuring, installer behavior, or complex workflows to prompt critical stage reviews. They monitor task execution and facilitate reviews of behavior changes, ensuring outputs meet engineering standards and resist drift.

How do I handle library drift in a repository?

Library drift is handled by treating it as a repository bug, which enhances repository integrity and prevents unexpected behavior changes. Resistance to drift is maintained by actively monitoring library versions and flagging inconsistencies during the validation process.

Can I use quality gates for docs defining behavior or process?

Quality gates are suitable for validating docs defining behavior or process, installer modifications, and complex workflows. The validation layer applies evidence-binding and lifecycle awareness to non-trivial engineering outputs, ensuring documentation meets the same reviewability standards as code.

What is the best way to add regression coverage when fixing defects?

The best way to add regression coverage is by facilitating reviews of behavior changes and automatically prompting for updated tests when defects are fixed. This ensures that fixes are reviewable and that future drift is caught by the newly added regression coverage.

What are the limitations of using a lightweight control layer for validation?

A lightweight control layer for validation is limited to non-trivial engineering changes and may not replace comprehensive CI/CD pipelines for large-scale deployments. It focuses on evidence-binding and lifecycle awareness rather than handling runtime execution or automated build deployments.