
Quality Playbook
This is a forensic quality audit system that runs a multi-phase investigation on any codebase, starting with domain-driven exploration rather than mechanical test generation. It derives behavioral requirements from what it finds, then runs three-pass code reviews, multi-model spec audits (the "Council of Three"), and produces regression tests with TDD-verified patches. The author claims it catches 35% of defects that structural review misses by grounding everything in fitness-to-purpose analysis instead of coverage metrics. The artifact is substantial, over 1,500 lines with phase-by-phase prompts and a CLI orchestrator. Worth trying if you're tired of test generators that pass CI but ship bugs, though the setup cost is real.
- skills.sh installs
- 1.6K
- GitHub stars
- 41K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add github/awesome-copilot --skill quality-playbook --agent claude-codeInstalls into .claude/skills of the current project.
Files
Quality Playbook Generator
Plan Overview — read this first, then explain it to the user
Before reading any other section of this skill, understand the plan and its dependencies. Each phase produces artifacts that the next phase depends on. Skipping or rushing a phase means every downstream phase works from incomplete information.
Phase 0 (Prior Run Analysis): If previous quality runs exist, load their findings as seed data. This is automatic and only applies to re-runs.
Phase 1 (Explore): Run the v1.5.3 documentation intake first (python -m bin.reference_docs_ingest <target> to walk reference_docs/ — cite/ files produce quality/formal_docs_manifest.json records; top-level files are loaded as Tier 4 context via reference_docs_ingest.load_tier4_context(<target>)). Then explore the codebase in three stages: open exploration driven by domain knowledge, domain-knowledge risk analysis, and selected structured exploration patterns. Write all findings to quality/EXPLORATION.md. This file is the foundation — Phase 2 reads it as its primary input.
Sponsors
Details
- Repository
- github.com/github/awesome-copilot
- Categories
- Testing & QA, Git & Pull Requests, Code Review & Quality, AI & Agent Building, Debugging
- First seen
- Apr 16, 2026
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