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 p04git 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/p04)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/p04"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/p04/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/p04"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/p04.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 | $0.00091 | $0.01877 |
| Opus 5 | $0.00046 | $0.00938 |
| Sonnet 5 | $0.00018 | $0.00375 |
| Haiku 4.5 | $0.00009 | $0.00188 |
Grade A, and why
p04快意早回头 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
快意早回头原则
R — 原文 (Reading)
"恩里由来生害，故快意时须早回首；败后或反成功，故拂心处莫便放手。"
— 洪应明, 《菜根谭·快意早回头 拂心莫放手》
I — 方法论骨架 (Interpretation)
- 顺境中藏着危险。 "恩里由来生害"——恩情深重时往往是祸患降临之时，得意忘形之际最容易被反噬。
- 顺境时要懂得"回头"。 快意时不是继续进攻，而是要急流勇退，见好就收。
- 逆境中可能藏着机会。 失败不等于终结，"败后或反成功"——挫折有时反而是通往成功的必经之路。
- 逆境时要保持在场。 拂心（心里不痛快）时不要轻易放弃，因为放弃可能错过了即将到来的转机。
- 核心是对称原则：顺境收，逆境撑。 不是永远进攻，也不是永远撤退，而是根据处境调整。
A1 — 书中的应用 (Past Application)
案例: 范蠡、张良功成身退 vs 李斯、吴王刘濞贪权身败名裂
- 问题: 如何判断什么时候该退，什么时候该进
- 方法论的使用: 洪应明列举两组人物——功成身退者（范蠡、张良）与贪恋富贵者（李斯、吴王刘濞），用对比说明"知退"的重要性
- 结论: 范蠡辅佐越王勾践灭吴后功成身退，泛舟五湖成为巨富；张良辅佐刘邦建立汉朝后选择隐退修仙——二人都得以善终。李斯辅佐秦始皇统一六国后因贪恋权势被赵高陷害，具五刑而死；吴王刘濞因谋反兵败被杀
- 结果: "快意时不知回首"的人身败名裂；"功成身退"者反而留名青史
案例 2: 谢安淝水之战后退隐
- 问题: 事业鼎盛时期是否该继续追逐更大权力
- 方法论的使用: 谢安在淝水之战立下大功、功名鼎盛之时，急流勇退，不贪恋权位
- 结论: 在最辉煌的时候选择退隐，才能全身而退、终老山林、名垂青史
- 结果: 谢安善终，与那些不知退让而败亡的人物形成鲜明对比
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 事业/人生处于高峰期，感到志得意满时 — "我好不容易到这个位置，不能退"、"这么好的时候不继续太可惜了"
- 面对更大诱惑（更高职位、更大权力、更多金钱）时 — "这个机会太难得了，不抓住会不会后悔？"
- 看到身边的人都在追涨（投资、扩张、冒进）时 — "我是不是太保守了？"、"别人都在进我退是不是傻？"
语言信号 (用户的话里出现这些就应激活)
- "我现在很顺，是不是该收一收？"
- "这个机会太好了，放弃可惜"
- "我还能再进一步吗？"
- "别人都在追，我该不该跟？"
- "我已经到这个位置了，放手太难"
与相邻 skill 的区分
- 与
p11退让一步加让三分的区别: p11是日常人际中的退让策略；p04是针对个人事业巅峰期的战略撤退 - 与
p28守正安分远祸的区别: p28是"守正"——守住正道避开祸患；p04是主动选择"急流勇退"
E — 可执行步骤 (Execution)
当 skill 被激活后，agent 应按以下步骤执行:
-
判断用户当前是"快意"还是"拂心"状态
- 完成标准: 用户明确自己处于顺境得意还是逆境困境
-
若是"快意"（顺境）：用"恩里生害"检测——这个顺境有没有隐藏的危险？
- 完成标准: 用户识别出恩情/成功背后可能酝酿的祸患（如树大招风、功高震主）
-
"早回首"测试：如果现在这个状态再持续3年，最坏的可能性是什么？
- 完成标准: 用户意识到继续冒进的潜在风险，并考虑退出的时机和方式
-
若是"拂心"（逆境）：用"败后反成功"检测——这个挫折是不是通往某个机会的必经之路？
- 完成标准: 用户重新定义失败的意义，找到坚持的理由
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 战略进攻期：企业/个人正在扩张期，需要一鼓作气拿下市场份额时
- 低谷期的关键坚持：创业濒临失败时，如果放弃是正确的选择（不是所有坚持都有意义）
- 家庭/健康危机时：此时需要的是止损而非硬撑
作者在书中警告的失败模式
- 快意不知回首：处于巅峰时愈发贪婪，不愿接受任何退让，享受众人吹捧不能自拔
- 机制：恩深往往生害，盛极必致衰败。得意时不知退让，树大招风，祸患随至
作者的盲点 / 时代局限
- 古代官场逻辑（功成身退）与现代商业逻辑（持续增长）不完全一致
- 某些行业需要"All in"才能成功，过早退出可能错过历史性机会
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 · 132 lines · 91 tokens per session scan A 8f55196d3b26
p04快意早回头 is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 91 tokens to every session and 1,877 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 2026-09-03.
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