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.
npx agentmods add instructions/jukrap/ai-agent-playbook/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.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 | $0.00331 | $0.00331 |
| Opus 5 | $0.00166 | $0.00166 |
| Sonnet 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 5d 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.
- 5d 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 21d ago), licensed MIT. It adds 331 tokens to every session, about $0.0017 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
ai-toolkit AGENTS.md
AGENTS.md instructions for pipefy/ai-toolkit, covering repository guidelines, documentation map, project structure, import namespace migration: pipefysdk → pipefy and src/pipefysdk/init.py (transitional shim).
superpowers-reasonix AGENTS.md
Instructions for christopherarter/superpowers-reasonix, covering project guidance, skills — stop. load a skill before you act, red flags — these thoughts mean stop. you are rationalizing and priority.
ai-mind AGENTS.md
AGENTS.md instructions for HWYD/ai-mind, covering agents, version spec workspace continuity (mandatory), 项目定位, 事实来源优先级 and 开始大改前先读什么.
vvvv-skills CLAUDE.md
Claude Code instructions for tebjan/vvvv-skills, covering vvvv gamma, when to patch vs code, core concepts, live environment and important conventions.
pi AGENTS.md
AGENTS.md instructions for counterposition/pi, covering agents.md, commands, pattern: pnpm --filter @counterposition/pi-web-search run, single test file and single test by name.
SciCrucible CLAUDE.md
Claude Code instructions for Xinyang-Li666/SciCrucible, covering 科学知识库, 知识库结构, 可用命令, 项目目录 and 工作原则.