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/CLAUDE.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/claude-md)<a href="https://agentmods.dev/instructions/vanessamarely/ai-playbook-reposito/claude-md"><img src="https://agentmods.dev/badge/instructions/vanessamarely/ai-playbook-reposito/claude-md/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/claude-md"><img src="https://agentmods.dev/badge/instructions/vanessamarely/ai-playbook-reposito/claude-md.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 | $0.01051 | $0.01051 |
| Opus 5 | $0.00526 | $0.00526 |
| Sonnet 5 | $0.00210 | $0.00210 |
| Haiku 4.5 | $0.00105 | $0.00105 |
Grade A, and why
ai-playbook-reposito CLAUDE.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 11d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude AI Instructions
This repository is the AI Playbook — a reference guide (this Vite/React app) plus a portable example package at ai-playbook/ demonstrating the correct file structure for GitHub Copilot, Claude Code, Cursor, and OpenAI Codex CLI. The example package inside ai-playbook/ is a template to copy into other projects, not live configuration for this repository's own React app.
Quick Start
When asked to perform a development task on the example package itself:
- Run
node ai-playbook/tools/project-detect.mjs <targetFolder>to identify a target project's type. - Load the matching skill from
ai-playbook/.claude/skills/<name>/SKILL.md(the canonical, richest-format source — the other three tool trees are adapted from it). - Apply
ai-playbook/policies/workspace-policy.mdfor scope rules. - Apply the appropriate domain policy (
frontend-policy.mdorbackend-policy.md).
When asked to work on this repository's own app (the guide UI under src/), see docs/PROJECT_CONTEXT.md for the tech stack — no playbook lookup needed.
Skill Routing (canonical source: ai-playbook/.claude/skills/)
| Task | Skill |
|---|---|
| React component (create/modify) | ai-playbook/.claude/skills/react-components/SKILL.md |
| Accessibility testing | ai-playbook/.claude/skills/a11y-automation/SKILL.md |
| Node.js/TypeScript service | ai-playbook/.claude/skills/node-typescript-service/SKILL.md |
| Figma → component | ai-playbook/.claude/skills/figma-component/SKILL.md |
| New skill scaffolding | ai-playbook/.claude/skills/skill-creator/SKILL.md |
| AI tool configuration (all 4 tools) | ai-playbook/.claude/skills/ai-tool-setup/SKILL.md |
Agent Routing (canonical source: ai-playbook/.claude/agents/)
| Task | Agent |
|---|---|
| Accessibility audit on React components | ai-playbook/.claude/agents/a11y-audit-react.md |
| Convert Figma designs into components | ai-playbook/.claude/agents/figma-component-builder.md |
| Pull request review | ai-playbook/.claude/agents/pr-reviewer.md |
| Build a React component | ai-playbook/.claude/agents/react-component-builder.md |
| Build a Node microservice | ai-playbook/.claude/agents/node-microservice-builder.md |
| Review source code quality | ai-playbook/.claude/agents/code-reviewer.md |
| Detect workspace type | ai-playbook/.claude/agents/scan-workspace.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.
- 11d ago First seen · 70 lines · 1,051 tokens per session scan A ade633a3a7e4
ai-playbook-reposito CLAUDE.md is an instructions file published in the GitHub repository vanessamarely/ai-playbook-reposito (2 stars, last pushed 1mo ago), licensed MIT. It adds 1,051 tokens to every session, about $0.0053 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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.
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).