quality-checklist

Validate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.

509 stars

Best use case

quality-checklist is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Validate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.

Teams using quality-checklist should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/quality-checklist/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/methodologies/spec-kit/skills/quality-checklist/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/quality-checklist/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How quality-checklist Compares

Feature / Agentquality-checklistStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Validate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Quality Checklist

## Overview

Post-implementation quality gate that validates the completed work against constitution standards, specification requirements, and custom quality checks. Produces a scored assessment with remediation recommendations for any failures.

## When to Use

- After implementation is complete, before declaring done
- When validating code quality against constitution standards
- When verifying specification requirement coverage
- When running custom project-specific quality checks

## Key Principle

Quality validation must be objective, reproducible, and multi-dimensional. Failed items must have actionable remediation recommendations. The checklist supports convergence loops -- re-validate after fixes until quality threshold is met.

## Process

1. **Validate code quality** - Check against constitution coding standards
2. **Verify test coverage** - Ensure coverage meets constitution thresholds
3. **Check spec satisfaction** - Verify all requirements are implemented
4. **Assess performance** - Validate against constitution benchmarks
5. **Verify security** - Check compliance with constitution security constraints
6. **Execute custom checks** - Run any project-specific quality checks
7. **Score overall quality** - Weighted average across categories (0-100)
8. **Produce recommendations** - Actionable fixes for failed items
9. **Remediation loop** - Re-validate after fixes (up to 3 iterations)

## Tool Use

Invoke via babysitter process: `methodologies/spec-kit/spec-kit-implementation` (quality checklist phase)
Full pipeline: `methodologies/spec-kit/spec-kit-orchestrator`

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