quality-checklist
Validate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/quality-checklist/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How quality-checklist Compares
| Feature / Agent | quality-checklist | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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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