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/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/rules/vanessamarely/ai-playbook-reposito/ai-playbook-reference)<a href="https://agentmods.dev/rules/vanessamarely/ai-playbook-reposito/ai-playbook-reference"><img src="https://agentmods.dev/badge/rules/vanessamarely/ai-playbook-reposito/ai-playbook-reference/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/rules/vanessamarely/ai-playbook-reposito/ai-playbook-reference"><img src="https://agentmods.dev/badge/rules/vanessamarely/ai-playbook-reposito/ai-playbook-reference.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 | $0.00437 | $0.00437 |
| Opus 5 | $0.00218 | $0.00218 |
| Sonnet 5 | $0.00087 | $0.00087 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
ai-playbook-reference 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 12d 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.
What it actually says
AI Playbook Reference
This repository is the AI Playbook itself (a reference guide app plus a portable example package at ai-playbook/). Migrated from the legacy single .cursorrules file — Cursor's Agent mode ignores that format, so this .mdc rule replaces it.
Working on this repo's own app (src/)
This is a React 19 + TypeScript + Vite app using Tailwind CSS and shadcn/ui. See docs/PROJECT_CONTEXT.md for the full stack. No playbook lookup needed for UI work.
Working on the example package (ai-playbook/)
Canonical source for every agent/skill is ai-playbook/.claude/skills/ and ai-playbook/.claude/agents/ — edit there first, then port changes to ai-playbook/.github/, ai-playbook/.cursor/, and ai-playbook/AGENTS.md + ai-playbook/.agents/skills/ using the mapping in ai-playbook/.claude/skills/ai-tool-setup/references/skill-routing.md.
Detect project type: node ai-playbook/tools/project-detect.mjs <targetFolder>
Scope Enforcement
- Only modify files within the stated target project folder.
- Run
node ai-playbook/tools/scope-guard.mjs <targetFolder> <changedFiles...>before finalizing changes to the example package.
Code Style
- Minimal diffs: change only the lines necessary.
- Do not reformat unrelated code or reorganize imports.
- Use forward slashes in all file paths.
Security
- Never hardcode secrets, API keys, or passwords.
- Validate and sanitize all user inputs.
Testing
- Run
npm testto execute the test suite. - Run
npm run lintfor linting. - Run
npx tsc --noEmitfor type checking.
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.
- 12d ago First seen · 41 lines · 437 tokens per session scan A dabc7b17153c
ai-playbook-reference is a cursor rule published in the GitHub repository vanessamarely/ai-playbook-reposito (2 stars, last pushed 1mo ago), licensed MIT. It adds 437 tokens to every session, about $0.0022 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.
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