Borrowing it
Nothing to install: this file belongs to jukrap/ai-agent-playbook. 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/jukrap/ai-agent-playbook/main/AGENTS.mdgit clone --depth 1 https://github.com/jukrap/ai-agent-playbookWrote 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/jukrap/ai-agent-playbook/agents-md)<a href="https://agentmods.dev/instructions/jukrap/ai-agent-playbook/agents-md"><img src="https://agentmods.dev/badge/instructions/jukrap/ai-agent-playbook/agents-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/jukrap/ai-agent-playbook/agents-md"><img src="https://agentmods.dev/badge/instructions/jukrap/ai-agent-playbook/agents-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 | $0.00331 | $0.00331 |
| Opus 5.5 | $0.00132 | $0.00132 |
| Sonnet 5.5 | $0.00066 | $0.00066 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
ai-agent-playbook AGENTS.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 1mo 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
AGENTS.md
This repository contains reusable AI agent skills and project templates. Keep content agent-agnostic unless it belongs under adapters/.
Working rules
- Before adding, moving, or renaming content, read
docs/maintenance.md. - Keep
skills/*/*/SKILL.mdconcise and trigger-focused. - Put longer reusable details in
references/. - Keep project-copyable root policies under
templates/agents. - Keep copyable project-memory docs under
templates/project-playbook. - Do not put personal absolute paths, company names, credentials, internal URLs, branch names, or PR numbers in public docs.
- Update Korean translations in the same change as English source edits.
- Validate skills and translations after editing.
- Sync installed local copies only from this repository.
- For commits and PRs, use Conventional Commit type/scope, write the subject/body in the user's or repository's working language, and include a body plus verification notes for non-trivial changes.
Skill structure
- Use lowercase hyphenated skill names.
SKILL.mdfrontmatter must contain onlynameanddescription.- Description starts with
Use when...and describes trigger conditions, not the workflow. - Prefer one-level references from
SKILL.md.
Verification
Run these after edits:
.\scripts\validate-skills.ps1
.\scripts\validate-translations.ps1
.\scripts\sync-skills.ps1 -WhatIf
If local installed copies need updating, run:
.\scripts\sync-skills.ps1
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.
- 1mo ago First seen · 40 lines · 331 tokens per session scan A 5f4251b90930
ai-agent-playbook AGENTS.md is an instructions file published in the GitHub repository jukrap/ai-agent-playbook (2 stars, last pushed 1mo ago), licensed MIT. It adds 331 tokens to every session, about $0.0013 per session on Opus 5.5. 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
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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.