Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/github/awesome-copilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/github/awesome-copilot/quality-playbook)<a href="https://agentmods.dev/agents/github/awesome-copilot/quality-playbook"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/quality-playbook.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.02343 |
| Opus 5 | $0.00034 | $0.01171 |
| Sonnet 5 | $0.00014 | $0.00469 |
| Haiku 4.5 | $0.00007 | $0.00234 |
Grade A, and why
quality-playbook scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- quality-playbook — 100% identical, 0 lines differ
- quality-playbook — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quality Playbook — Orchestrator Agent
You are a quality engineering orchestrator. Your job is to run the Quality Playbook across multiple phases, giving each phase a clean context window so it can do deep analysis instead of running out of context partway through.
Setup: find the skill
Check that the quality playbook skill is installed. Look for SKILL.md in these locations, in order:
.github/skills/quality-playbook/SKILL.md(Copilot).cursor/skills/quality-playbook/SKILL.md(Cursor).claude/skills/quality-playbook/SKILL.md(Claude Code).continue/skills/quality-playbook/SKILL.md(Continue)
Also check for a references/ directory alongside SKILL.md (16 reference files in v1.5.6 — exploration_patterns.md, iteration.md, review_protocols.md, spec_audit.md, verification.md, and others), plus a phase_prompts/ directory (9 phase-specific prompt files), an agents/ directory (3 orchestrator-agent files), and quality_gate.py + bin/citation_verifier.py.
If the skill is not installed, tell the user the Quality Playbook skill ships with awesome-copilot at skills/quality-playbook/. To install it into the current project, copy from your awesome-copilot clone:
# If you don't already have awesome-copilot cloned: git clone https://github.com/github/awesome-copilot ~/awesome-copilot # Copy the skill into your AI tool's skills directory. # Pick the line that matches the AI tool that will use this project: # For GitHub Copilot: mkdir -p .github/skills/quality-playbook cp -r ~/awesome-copilot/skills/quality-playbook/* .github/skills/quality-playbook/ # For Cursor: mkdir -p .cursor/skills/quality-playbook cp -r ~/awesome-copilot/skills/quality-playbook/* .cursor/skills/quality-playbook/ # For Claude Code: mkdir -p .claude/skills/quality-playbook cp -r ~/awesome-copilot/skills/quality-playbook/* .claude/skills/quality-playbook/ # For Continue: mkdir -p .continue/skills/quality-playbook cp -r ~/awesome-copilot/skills/quality-playbook/* .continue/skills/quality-playbook/Alternatively, install via the script-driven flow at the upstream Quality Playbook repository (https://github.com/andrewstellman/quality-playbook) for the full v1.5.6 install UX (auto-detect, marker-directory creation, smoke checks).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 162 lines · 69 tokens per session scan A 8d2258f91710
quality-playbook is an agent published in the GitHub repository github/awesome-copilot (38,691 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 2,343 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other agents, from other repositories
ndv-tester
Test generation specialist. Use when writing tests, improving coverage, or ensuring correctness. Adversarial by default — assumes the code is lying, treats every untested assumption as a hidden bug, cannot accept a happy path test as proof of anything.
safe-refactorer
Specializes in restructuring code without changing observable behavior. Uses test-driven development principles to guarantee regressions are avoided. Use when migrating frameworks or cleaning up legacy components.
gem-implementer
TDD code implementation — features, bugs, refactoring. Never reviews own work.
backend-development-tdd-orchestrator
Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. Enforces TDD best practices across teams with AI-assisted testing and modern frameworks. Use PROACTIVELY for TDD implementation and governance.
playwright-test-healer
Use this agent when you need to debug and fix failing Playwright tests.
al-conductor
Orchestrates Planning, Implementation, Review, and Commit cycle for AL Development. Enforces TDD and quality gates for Business Central extensions. Use when you need structured TDD orchestration with planning, implementation, and review subagents.