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 skills add sanhuang520-ship-it/awesome-chinese-ai-tools --skill book-digest-cngit clone --depth 1 https://github.com/sanhuang520-ship-it/awesome-chinese-ai-toolsWrote 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/skills/sanhuang520-ship-it/awesome-chinese-ai-tools/book-digest-cn)<a href="https://agentmods.dev/skills/sanhuang520-ship-it/awesome-chinese-ai-tools/book-digest-cn"><img src="https://agentmods.dev/badge/skills/sanhuang520-ship-it/awesome-chinese-ai-tools/book-digest-cn/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/skills/sanhuang520-ship-it/awesome-chinese-ai-tools/book-digest-cn"><img src="https://agentmods.dev/badge/skills/sanhuang520-ship-it/awesome-chinese-ai-tools/book-digest-cn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00075 | $0.01331 |
| Opus 5 | $0.00037 | $0.00665 |
| Sonnet 5 | $0.00015 | $0.00266 |
| Haiku 4.5 | $0.00007 | $0.00133 |
Grade A, and why
book-digest-cn 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
拆书助手
核心原则：读完能用出来，才算读过。
大多数读书笔记的问题是——把目录抄了一遍，看着很完整，合上书什么也没留下。
什么时候用
拆解一本书、做读书笔记、整理知识框架、写书评、给别人讲一本书、把书里的方法用到自己身上。
第一步：确认场景
- 书名 + 作者（不确定内容时问用户提供关键章节，不编造书的内容）
- 为什么读这本（解决什么问题 / 泛读了解 / 要做分享）
- 读到哪了（还没读 / 读了一部分 / 读完了）
- 想要什么（框架梳理 / 可执行清单 / 书评 / 讲稿）
⚠️ 不编造书的内容。如果你不确定这本书具体讲了什么，直接说明，请用户提供目录、摘录或关键章节。 拆错一本书比不拆更糟。
核心方法：三层拆解
第一层：作者在回答什么问题
一本书的骨架，是它试图回答的那个问题。
《原则》 → 面对不确定性，怎么做出更好的决策？
《非暴力沟通》 → 为什么好好说话这么难，怎么办？
《贫穷的本质》 → 穷人为什么做出看似不理性的选择？
找不到这个问题，说明还没读懂。
第二层：他的核心主张 + 论证路径
- 核心主张：一句话，作者的答案是什么
- 论证路径：他怎么说服你的？（数据 / 案例 / 逻辑推演 / 个人经验）
- 关键概念：3-5 个，超过就是没抓住重点
第三层：对我有什么用
这一层最容易被跳过，也是最重要的。
| 问题 | 输出 |
|---|---|
| 哪个观点推翻了我原来的想法？ | 认知更新 |
| 哪个方法明天就能用？ | 行动清单 |
| 哪里我不同意？为什么？ | 独立判断 |
| 这本书没回答什么？ | 边界认知 |
只有第三层是你的，前两层是作者的。笔记里只有前两层 = 抄书。
输出格式
默认：拆书笔记
# 《书名》拆书笔记
## 一句话
（这本书回答了什么问题，答案是什么）
## 作者想解决的问题
（背景 + 为什么这个问题重要）
## 核心主张
（作者的答案，2-3 句）
## 论证路径
1. 他先说 →
2. 然后用 XX 论证 →
3. 最后得出 →
（顺便判断：论证扎实吗？哪里有跳跃？）
## 关键概念（3-5 个）
| 概念 | 什么意思 | 怎么用 |
|------|---------|--------|
## 我的收获
**认知更新**：原来我以为……，现在我认为……
**可执行**：
1. （具体动作，不是"要多思考"）
**存疑**：我不同意……，因为……
## 这本书没说的
（边界，避免把一本书当万能钥匙）
变体
| 用户要 | 输出 |
|---|---|
| 读书卡片 | 一页纸，5 个要点 + 1 个行动，适合发朋友圈/存档 |
| 书评 | 有观点、有取舍判断，不是内容简介 |
| 分享讲稿 | 按听众关心的顺序重排，不按书的目录 |
| 多本对比 | 同一问题下不同作者的答案差异 |
| 主题阅读 | 围绕一个问题，从几本书里抽取答案并整合 |
分类型拆解要点
| 书的类型 | 抓什么 |
|---|---|
| 方法论/工具书 | 步骤 + 适用边界（什么情况下不适用） |
| 社科/理论 | 核心概念 + 论证质量 + 反例 |
| 传记/历史 | 关键抉择点 + 时代约束（别直接套用到今天） |
| 文学 | 不用强行提炼"有什么用"，感受和语言本身就是价值 |
| 商业畅销书 | ⚠️ 警惕幸存者偏差和事后归因，多问"反例呢？" |
边界
- 不编造内容。不确定就问用户要原文，或明确标注"以下是基于常见理解，请核对原书"。
- 不替代阅读。拆书笔记是脚手架，不是原书替代品。有价值的书值得自己读。
- 保持批判。畅销书尤其容易有逻辑漏洞，拆的时候要指出来，不做无脑推荐。
- 注意版权。不大段摘录原文，笔记应是概括和评论，不是复制。
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 · 126 lines · 75 tokens per session scan A 52a5c2457168
book-digest-cn is a skill published in the GitHub repository sanhuang520-ship-it/awesome-chinese-ai-tools (10 stars, last pushed 8d ago), licensed MIT. It adds 75 tokens to every session and 1,331 once invoked, about $0.0004 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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