Self-hosted alternatives to quality-playbook
5 self-hosted AI Skills apps to use instead, best rated first.
Top picks
- C

claude-to-deerflow
Launchclaude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code
Self-hosted
- O

open-notebook
Launchopen-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O
Self-hosted
- R

Reactive Resume
LaunchReactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish
Open sourceSelf-hosted
- S

self-hosted-funnel-launch
LaunchSelf-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a
Self-hosted
- G

get-convex/convex-backend
LaunchConvex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca
Self-hosted
About quality-playbook

quality-playbook
Run a complete quality engineering audit on any codebase
quality-playbook is an agent skill from the github/awesome-copilot collection that runs a complete quality engineering audit on a codebase. It works in phases, and the skill insists that the plan be read first, because each phase produces artifacts that the next one depends on. Phase 0 loads the findings of any earlier quality run as seed data, so re-runs build on what was learned. Phase 1 explores the code in three stages: open exploration driven by domain knowledge, a risk analysis based on that knowledge, and selected structured exploration patterns. Its findings are written to a quality/EXPLORATION.md file, which is the foundation for everything after. Phase 2 reads that file and generates the quality artifacts: behavioral requirements derived from the code, a constitution, functional tests traced back to those requirements, a code review protocol, integration tests, a specification audit protocol and a test-driven development protocol. The skill also includes a document intake step that reads reference documents the project supplies. The goal is to find where the code's behavior and its intent diverge, and to give the team tests and protocols that keep them aligned. A quality audit is only as good as the domain knowledge behind the exploration, so a team member who knows the system should check the requirements the skill derives from the code. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 1.6K installs. At the time of the scan, Gen Agent Trust Hub returned a warning, while Socket and Snyk passed.
- Price
- Free
- Made by
- github
- Category
- AI Skills
- Website
- github.com/github/awesome-copilot/quality-playbook