Individual skill

quality-playbook

Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.

skills/quality-playbook/SKILL.md

Read pinned source

Source commit edbecfa9099c4addae1f500cca1ac067204b30fd

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 4, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
40,891
Repository last updated
Nov 6, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# 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.

**Phase 2 (Generate):** Read EXPLORATION.md and produce the quality artifacts: requirements, constitution, functional tests, code review protocol, integration tests, spec audit protocol, TDD protocol. (`AGENTS.md` at the target's repo root is generated by the orchestrator AFTER Phase 6, not by you in Phase 2 — see "File 6" below for the contract.)

**Phase 3 (Code Review):** Run the three-pass code review against HEAD. Write regression tests for every confirmed bug. Generate patches.