Borrowing it
Nothing to install: this file belongs to kuhung/weread-book-skills. 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/kuhung/weread-book-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/kuhung/weread-book-skillsWrote 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/kuhung/weread-book-skills/agents-md)<a href="https://agentmods.dev/instructions/kuhung/weread-book-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/kuhung/weread-book-skills/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/kuhung/weread-book-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/kuhung/weread-book-skills/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 | $0.03220 | $0.03220 |
| Opus 5 | $0.01610 | $0.01610 |
| Sonnet 5 | $0.00644 | $0.00644 |
| Haiku 4.5 | $0.00322 | $0.00322 |
Grade A, and why
weread-book-skills 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 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Skills Index
本仓库将读书笔记编译为可执行的 AI Agent 技能。当用户的任务匹配下列任一技能的 触发场景时，读取对应的 SKILL.md 文件，并严格遵循其中的角色设定与操作框架。
消费型技能（书籍方法论）
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agent-design-patterns —
skills/agent-design-patterns/SKILL.md- 运用《智能体设计模式》(Antonio Gulli) 的 21 个模式,指导 AI Agent 系统的架构设计与选型。适用于用户在设计 Agent 工作流(选择链式/路由/并行/多Agent编排)、提升 Agent 输出质量与可靠性(反思/异常处理/Guardrails)、做 RAG 技术选型(混合检索/GraphRAG/Agentic RAG)、优化 Agent 成本与延迟(动态模型切换/回退)时使用。
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behavior-design —
skills/behavior-design/SKILL.md- 融合《掌控习惯》(James Clear) 四大定律与《福格行为模型》(B.J. Fogg) B=MAP 的行为设计技能。适用于用户要养成新习惯或戒除坏习惯、诊断"计划总是坚持不下去"的问题、为产品或团队设计行为改变机制、以及把大目标拆解为可持续微行动时使用。
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brain-efficiency —
skills/brain-efficiency/SKILL.md- 运用《效率脑科学》的舞台模型、情绪调节、SCARF 社交需求与洞察驱动改变框架,优化个人与团队的工作效率。适用于用户感到多任务过载或决策疲劳、需要设计低威胁反馈/协作对话、团队冲突或士气问题需从神经科学角度诊断、以及推动他人改变但直接给建议无效时使用。
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coaching-grow —
skills/coaching-grow/SKILL.md- 运用《高绩效教练》(John Whitmore) 的 GROW 模型与教练式提问,帮助用户通过觉察与责任感释放他人潜能。适用于用户要准备 1:1 对话或辅导下属、想戒掉"直接给答案"改用提问启发、做绩效反馈或项目复盘、以及对自己的目标困境做自我教练时使用。
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crucial-accountability —
skills/crucial-accountability/SKILL.md- 运用《关键冲突》(Crucial Conversations 系列) 的 CPR 思维法与安全问责框架,指导用户当他人违反承诺时开展有效面对。适用于用户要谈下属拖延/同事甩锅/老板反悔承诺、反复遇到同一问题却谈不拢、准备高难度问责对话脚本、以及设计承诺跟进机制时使用。
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data-storytelling —
skills/data-storytelling/SKILL.md- 运用《用数据讲故事》(科尔·努斯鲍默·纳福利克) 的上下文分析、图表选型、去杂乱、前注意属性与叙事结构框架，指导数据可视化与商业叙事。适用于用户要用图表呈现数据分析结论、准备含数据的汇报 PPT、诊断"图表做了但老板看不懂"的问题、选择合适的图表类型、以及设计数据驱动的商业叙事时使用。
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deep-work —
skills/deep-work/SKILL.md- 运用《深度工作》(Cal Newport) 的四准则框架,指导用户设计注意力管理与深度工作系统。适用于用户想提升专注产出、日程被浮浅事务淹没、设计个人深度工作习惯(哲学选型/时间块/固定日程)、评估是否该戒断某网络工具、以及诊断"忙一天却没什么成果"时使用。
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devops-three-ways —
skills/devops-three-ways/SKILL.md- 运用《凤凰项目》DevOps 三步工作法与《独角兽项目》五大理念，诊断技术价值流瓶颈并设计流动、反馈与持续学习机制。适用于用户要优化部署流水线或降低变更失败率、诊断 WIP 过载与约束点、建立 blameless 复盘与心理安全文化、以及评估技术债务与架构局部性时使用。
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first-time-manager —
skills/first-time-manager/SKILL.md- 运用《关键跨越(新手篇)》的三大跨越框架(承担管理责任/推动执行/辅导他人),指导从业务高手到主管的转型。适用于用户刚晋升主管或即将带团队、纠结任务该自己做还是交给下属、要做向上汇报或与上级对焦优先级、以及辅导下属没起色想评估是否继续投入时使用。
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 · 98 lines · 3,220 tokens per session scan A 59edb6d545ec
weread-book-skills AGENTS.md is an instructions file published in the GitHub repository kuhung/weread-book-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 3,220 tokens to every session, about $0.0161 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).