Borrowing it
Nothing to install: this file belongs to aipmer/book. 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/aipmer/book/main/AGENTS.mdgit clone --depth 1 https://github.com/aipmer/bookWrote 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/aipmer/book/agents-md)<a href="https://agentmods.dev/instructions/aipmer/book/agents-md"><img src="https://agentmods.dev/badge/instructions/aipmer/book/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/aipmer/book/agents-md"><img src="https://agentmods.dev/badge/instructions/aipmer/book/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 | $0.00654 | $0.00654 |
| Opus 5.5 | $0.00262 | $0.00262 |
| Sonnet 5.5 | $0.00131 | $0.00131 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
book 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 2mo 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
🤖 Codex 协作协议 (Codex Collaboration Protocol - CAP)
📌 项目指纹
- 项目名称：Codex 蓝皮书
- 项目类型：Markdown 指南 / 电子书项目
- 写作风格：专业、精炼、技术密度高、易读的中文，伴以恰当的格式与图表。
- 引用规范：链接必须使用
file:///格式的绝对路径（例如：[link text](file:///Users/hunkwu/Desktop/ai/book/README.md)）。
🎯 目标受众
- 希望利用 AI 智能体（尤其是 OpenAI Codex）进行高效开发的专业开发者。
- 想要自主构建商业级 MVP 的独立黑客与创业者。
🛑 约束红线
- 严禁使用占位符：必须提供真实、可运行的示例代码和配置。
- 注重实操：每个章节必须包含逐步的代码片段、命令行执行或配置文件模版。
- 链接完整：确保各章节之间的链接引用正确，无死链。
- 杜绝冗长摘要：避免重复内容；专注于可落地的洞察、心智模型和步骤演练。
🧪 验证标准
- 所有 Markdown 文件必须语法正确，且链接到真实存在的目标路径。
- 所有代码块必须带有正确的语言标签（例如：
```bash,```markdown,```json）。
🌐 English Version
🤖 Codex Collaboration Protocol (CAP)
📌 Project Signature
- Project Name: Codex Blue Book
- Framework: Markdown Guide / Book Project
- Coding Style: Professional, concise, tech-rich, easy-to-read Chinese with proper formatting and diagrams.
- Reference Style: Links should be absolute paths with
file:///scheme (e.g.[link text](file:///Users/hunkwu/Desktop/ai/book/README.md)).
🎯 Target Audience
- Professional developers looking to leverage AI agents (especially OpenAI Codex) for high-efficiency development.
- Indie Hackers / Entrepreneurs wanting to build commercial-grade MVPs autonomously.
🛑 Hard Constraints
- Do not use placeholders: Always provide real, functional examples and configurations.
- Keep it practical: Every chapter must contain step-by-step code snippets, command executions, or configuration templates.
- Preserve Links: Ensure all links between chapters are correctly referenced.
- No verbose summaries: Avoid repeating contents; focus on actionable insights, mental models, and step-by-step walkthroughs.
🧪 Verification Specs
- All markdown files must be syntactically valid and link to actual target paths.
- Code blocks must have language tags (e.g.
```bash,```markdown,```json).
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.
- 2mo ago First seen · 51 lines · 654 tokens per session scan A ed0350b82595
book AGENTS.md is an instructions file published in the GitHub repository aipmer/book (53 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 654 tokens to every session, about $0.0026 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 2026-08-30.
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.