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 ace3000chao/book2startup --skill f33git clone --depth 1 https://github.com/ace3000chao/book2startupWrote 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/ace3000chao/book2startup/f33)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/f33"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f33/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/ace3000chao/book2startup/f33"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f33.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 | $0.00138 | $0.01993 |
| Opus 5 | $0.00069 | $0.00996 |
| Sonnet 5 | $0.00028 | $0.00399 |
| Haiku 4.5 | $0.00014 | $0.00199 |
Grade A, and why
f33-composure-strategy 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 9d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
不动声色应变框架
R — 原文 (Reading)
"觉人之诈，不形于言；受人之侮，不动于色，此中有无穷意味，亦有无穷受用。"
— 洪应明, 大量能容 不动声色
I — 方法论骨架 (Interpretation)
这是在被欺骗或受侮辱时的即时应对框架，核心是保护自己的筹码和余地。
两条核心原则：
-
觉人之诈，不形于言：发现被骗了，不要当场说破。理由：说破了等于告诉对方"我已经知道了"，对方会立即采取对策，你就失去了回旋的空间。
-
受人之侮，不动于色：受到侮辱，不要立即反应（反驳/发火/解释）。理由：立即反应等于暴露自己的弱点，让对方知道你被刺痛了，反而给了对方更大的筹码。
核心逻辑：不动声色，才能保护自己。真正的高手不是没有情绪，而是在情绪来临时，能够控制反应的时间点——让情绪延迟爆发，争取信息优势和策略空间。
A1 — 书中的应用 (Past Application)
案例 1: 越王勾践卧薪尝胆
- 问题: 勾践被吴王夫差打败，面临极大的屈辱（为夫差驾车、尝粪便诊断病情）
- 方法论的使用: 他"不动声色"——表面绝对顺从，让夫差完全放松警惕；暗地里卧薪尝胆，积累复仇力量
- 结论: 在极度屈辱下保持镇定，是为了让对方不知道自己已经准备好反击
- 结果: 十年生聚，十年教训，最终灭吴复国
案例 2: 韩信胯下之辱
- 问题: 韩信年轻时被市井恶霸逼迫，从其胯下钻过，受尽屈辱
- 方法论的使用: 韩信没有当场反抗——他知道反抗会惹上官司，失去长远发展的机会；所以他隐忍不动
- 结论: 不动声色不是因为怯懦，而是因为心中有更大的目标，不值得为小辱毁掉大计
- 结果: 韩信后来成为刘邦的大将军，封侯拜将
案例 3: 刘邦的"流氓式镇定"
- 问题: 鸿门宴上，项羽的谋士范增多次暗示项羽动手杀掉刘邦
- 方法论的使用: 刘邦在极度危险的情况下，保持表面镇定，甚至借上厕所之名逃走了——而不是当场与项羽对峙
- 结论: 保持镇定不是为了面子，而是为了争取逃跑/准备的时间
- 结果: 刘邦逃脱，后在楚汉之争中取胜
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 发现被骗后：刚意识到对方在骗自己、占自己便宜、或利用自己，想说破但知道不该说
- 当众被羞辱：被人当众说了难听的话/羞辱了自己，想反击但知道不能
- 被挑衅：对方故意激怒你，想让你当场失态，抓住你的把柄
- 与狡猾的人打交道：明明知道对方在算计自己，但不能或不想当场翻脸
语言信号 (用户的话里出现这些就应激活)
- "他想害我"
- "他欺负我了"
- "我想说出来但知道不能说"
- "我忍不下这口气"
- "他以为我傻"
- "被他骗了还装作不知道"
- "我知道他在利用我，但我不想撕破脸"
- "他说的不是真的，但我不想当众反驳"
- "我想让他知道我不好欺负"（但不应该现在动手）
与相邻 skill 的区分
- 与
f18 兼听则明决策框架的区别：f18是决策前的偏见核查，本框架是已经发生冲突后的即时应对 - 与
f12 一念转魔成佛框架的区别：f12是情绪失控时瞬间"转念"，本框架是已经冷静地发现了问题，需要策略性地控制反应
E — 可执行步骤 (Execution)
当 skill 被激活后, agent 应按以下步骤执行:
-
确认"已知道"但不"已反应"
- 完成标准: 用户明确承认"我知道了，但我还没有反应"——这是第一步，也是最难的一步。做到这一点，就已经站在正确的一边了
-
执行"延迟反应"协议
- 完成标准: 用户给自己设定一个"反应冷静期"（至少24小时），在这期间不允许自己有任何形式的回应（言语/表情/行为）
- 判停条件: 若冷静期内发现对方正在进一步加害（情况恶化），则缩短冷静期，采取必要行动
-
制定"后手"策略
- 完成标准: 在冷静期后，用户制定一个"如何处理这件事"的策略——不是情绪发泄，而是有目的、有计划的行动（可以是沉默等待、可以是秋后算账、可以是永不往来）
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 正在被实施身体伤害或Immediate危险——此时应该立即逃离或自卫，不应该"不动声色"
- 面对亲密关系（家人/爱人）的日常冲突——过度使用这个框架会导致情感隔离和关系僵化
- 已经长期压抑憋出了心理问题——偶尔一次不动声色是策略，长期憋着不处理情绪是有害的
- 把"不动声色"当成"不在乎"——不动声色是策略，不在乎是冷漠，两回事
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 139 lines · 138 tokens per session scan A e583f5714e98
f33-composure-strategy is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 138 tokens to every session and 1,993 once invoked, about $0.0007 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 2026-09-03.
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