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 R2h1/my-book-skills --skill v09git clone --depth 1 https://github.com/R2h1/my-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/skills/r2h1/my-book-skills/v09)<a href="https://agentmods.dev/skills/r2h1/my-book-skills/v09"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v09/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/r2h1/my-book-skills/v09"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v09.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 | $0.00095 | $0.01809 |
| Opus 5 | $0.00048 | $0.00905 |
| Sonnet 5 | $0.00019 | $0.00362 |
| Haiku 4.5 | $0.00010 | $0.00181 |
Grade A, and why
元认知提升法 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
元认知提升法
R — 原文
"简单地说,元认知就是客观地了解自己目前状况的能力。……我会把元认知的范围定得更大,即'可以自我客观化的能力'。"
— 金承焕, 第六章
I — 方法论骨架
元认知是'认清自己能力的能力'——知道自己知道什么、不知道什么,准确评估自身水平。提升方法只有两个: 阅读+实践双循环
- 阅读(破除无知自信) — 不读书的人不知道自己不知道什么(邓宁-克鲁格效应),读书让人看到自己的知识边界,从'自信高峰'跌落
- 实践(验证判断准确度) — 设定目标→执行→看结果是否匹配预期。结果和预期的差距就是元认知的校准刻度
- 双循环缺一不可 — 只阅读不实践=空谈,只实践不阅读=试错效率极低。阅读让人知道'该做什么',实践让人验证'是否真的能做到'
- 失败的校准价值 — 每一次失败都是一次元认知校准,让人更准确知道自己的真实水平
核心洞察:越无知的人越自信(邓宁-克鲁格),越有实力的人越谦虚。提升元认知就是从'不知道自己不知道'到'知道自己知道什么不知道什么'的过程。
A1 — 书中的应用
案例 1: 作者25岁前的元认知低谷
- 问题: 25岁前元认知能力很低,不知道自己不懂经营、会计、税务
- 方法论的使用: 读《从负数开始出发》后顿悟'气量太小',意识到自己能力的边界
- 结论: 阅读让他看到了自己的无知,实践中的失败让他准确找到了自己的位置
- 结果: 停止抱怨,从小事做起,为后来的成功奠定心理基础
案例 2: 首尔大学A的元认知缺失
- 问题: 毕业于首尔大学但成绩中下游,归因于'不公平'
- 方法论的使用: 从未使用——元认知极低,不知道自己成绩不好是因为学习能力不足而非外部因素
- 结论: 反面案例——不知道自己不知道是最危险的状态
- 结果: 持续失败,人脉枯竭
案例 3: 邓宁-克鲁格全貌
- 问题: 人类普遍存在的认知偏差——能力越差的人越高估自己
- 方法论的使用: 作者用全书框架对抗:阅读(知道更多)→实践(发现做不到)→更多的阅读+实践(校准认知)
- 结论: 只有阅读+实践双管齐下才能提升元认知
A2 — 触发场景
用户会在什么情境下需要这个 skill?
- 用户对自己不了解的领域有强烈观点
- 用户读了大量书但实践能力没有提升
- 用户在失败后无法准确判断原因(过度自责或完全归咎外部)
语言信号
- '这个很简单,不就是……吗?'
- '这些我都知道'
- '我不知道为什么会失败'
- '我已经很努力了'
与相邻 skill 的区分
- 与
摆脱自我意识的区别: 自我意识是'不想承认自己不足'(情感防御),元认知是'不知道自己不足'(认知局限)。前者是态度问题,后者是判断力问题 - 与
22战略的关系: 22战略(阅读+写作)是提升元认知的主要方法之一
E — 可执行步骤
当 skill 被激活后,agent 应按以下步骤执行:
-
评估当前元认知水平
- 问用户:'你认为自己在XX领域是什么水平?请用1-10分打分'
- 追问:'有哪些证据支持你这个判断?'(如果证据薄弱,元认知可能偏低)
- 完成标准: 用户对自身水平做出了一个有依据的评估
-
设置阅读校准
- 推荐该领域2-3本经典书籍
- 让用户阅读后重新评估自己的水平——是否看到了更多'不知道自己不知道'的东西
- 完成标准: 用户读完推荐内容后重新评估了自身水平
-
设置实践校准
- 让用户设定一个可量化的目标并执行
- 比较预期结果和实际结果,分析差距
- 完成标准: 用户完成了一次'设定→执行→对比'的实践校准循环
B — 边界
不要在以下情况使用此 skill
- 用户正在经历严重心理危机(抑郁、焦虑)——此时'认清自己'可能加重负面自我认知
- 用户需要的是具体技能培训而非自我认知提升
- 用户已经过度自我批评时——需要的是自信建设而非进一步'认清自己'
作者在书中警告的失败模式
- ce17: 邓宁-克鲁格效应——无知者自信满满
- ce14: 只读书不实践——读了几百本书还很穷
- ce20: 作者自己的教训——气量太小赚不了大钱
作者的盲点 / 时代局限
- 元认知提升需要一定的认知基础,认知能力过低的人可能难以'看到'自己的元认知缺陷
- 作者过度强调阅读的作用——有些领域的元认知提升主要靠实践(如体育、手艺)
- 邓宁-克鲁格效应在集体主义文化中的表现可能不同(东亚人可能更倾向于自我贬低而非过度自信)
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 · 141 lines · 95 tokens per session scan A 01d0ba74ff27
元认知提升法 is a skill published in the GitHub repository R2h1/my-book-skills (2 stars, last pushed 26d ago), licensed MIT. It adds 95 tokens to every session and 1,809 once invoked, about $0.0005 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 skills, from other repositories
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An AI study coach that guides someone through setting a learning goal, understanding material, recalling it, practising, correcting mistakes, reviewing later, and completing a project. It is for learning a subject rather than simply receiving an answer.
book-digest-cn
A Chinese book-summary and reading-notes guide. It focuses on the question a book answers, the author's claims and evidence, and how the ideas can be applied, rather than simply repeating the table of contents.
homework-tutor-cn
A Chinese-language homework coaching guide for parents of primary and secondary school students.
chinese-lesson-plan
A Chinese-language lesson-planning guide for primary and secondary school teachers. It helps structure lessons, materials, learning goals, activities, and assessment for subjects such as Chinese, maths, English, and science.
book-distill
A method for turning a long book, transcript, podcast, course, interview, or article collection into small, reusable skills for an agent. It extracts principles, checklists, decision procedures, limits, and a glossary.
book-distiller
A process for turning a book into a practical, reusable method guide rather than a simple summary. It researches the book’s methods, decision rules, examples, limits, and supporting criticism.