Borrowing it
Nothing to install: this file belongs to vanessamarely/ai-playbook-reposito. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vanessamarely/ai-playbook-reposito/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/vanessamarely/ai-playbook-repositoWrote 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/instructions/vanessamarely/ai-playbook-reposito/copilot-instructions)<a href="https://agentmods.dev/instructions/vanessamarely/ai-playbook-reposito/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/vanessamarely/ai-playbook-reposito/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/vanessamarely/ai-playbook-reposito/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/vanessamarely/ai-playbook-reposito/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00811 | $0.00811 |
| Opus 5 | $0.00405 | $0.00405 |
| Sonnet 5 | $0.00162 | $0.00162 |
| Haiku 4.5 | $0.00081 | $0.00081 |
Grade A, and why
ai-playbook-reposito copilot-instructions.md 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Instructions
This repository contains an AI Playbook — a structured collection of agents, skills, and policies designed to help developers work effectively with AI coding assistants.
Repository Layout
ai-playbook/
├── .github/
│ ├── agents/ # Agent definitions (AGENT.md files)
│ ├── copilot-instructions/# Policy files loaded by agents
│ ├── skills/ # Skill definitions (SKILL.md + references + assets + scripts)
│ └── specs/ # Specification templates
├── tools/ # Shared Node.js utilities (project-detect, scope-guard, diagnostics-summarizer)
docs/ # Project documentation
src/ # React + TypeScript application source
How to Use This Playbook
When responding to requests in this repository, load and follow the relevant skill or agent from ai-playbook/.github/:
- Detect the project type by running
node ai-playbook/tools/project-detect.mjs <targetFolder>. - Load the matching skill from
ai-playbook/.github/skills/<skill-name>/SKILL.md. - Apply workspace policies from
ai-playbook/.github/copilot-instructions/workspace-policy.md. - Apply domain policies (frontend or backend) as appropriate.
Skill Routing
| Task | Skill to Load |
|---|---|
| Build or modify React components | ai-playbook/.github/skills/react-components/SKILL.md |
| Convert Figma designs to components | ai-playbook/.github/skills/figma-component/SKILL.md |
| Run or integrate accessibility tests | ai-playbook/.github/skills/a11y-automation/SKILL.md |
| Create or extend Node.js/TypeScript services | ai-playbook/.github/skills/node-typescript-service/SKILL.md |
| Create a new skill | ai-playbook/.github/skills/skill-creator/SKILL.md |
| Configure AI tool instructions | ai-playbook/.github/skills/ai-tool-setup/SKILL.md |
Agent Routing
| Task | Agent to Load |
|---|---|
| Detect workspace type and route skills | ai-playbook/.github/agents/scan-workspace/AGENT.md |
| Build React components end-to-end | ai-playbook/.github/agents/react-component-builder/AGENT.md |
| Convert Figma designs to components | ai-playbook/.github/agents/figma-component-builder/AGENT.md |
| Run React accessibility audits | ai-playbook/.github/agents/a11y-audit-react/AGENT.md |
| Build Node.js microservices | ai-playbook/.github/agents/node-microservice-builder/AGENT.md |
| Review pull requests | ai-playbook/.github/agents/pr-reviewer/AGENT.md |
| Review code quality in chat | ai-playbook/.github/agents/code-reviewer/AGENT.md |
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.
- 9d ago First seen · 66 lines · 811 tokens per session scan A d8699a965681
ai-playbook-reposito copilot-instructions.md is an instructions file published in the GitHub repository vanessamarely/ai-playbook-reposito (2 stars, last pushed 1mo ago), licensed MIT. It adds 811 tokens to every session, about $0.0041 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 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.