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 f11git 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/f11)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/f11"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f11/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/f11"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f11.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 | $0.00119 | $0.02718 |
| Opus 5 | $0.00060 | $0.01359 |
| Sonnet 5 | $0.00024 | $0.00544 |
| Haiku 4.5 | $0.00012 | $0.00272 |
Grade A, and why
f11 selflessness-check 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.
舍己勿疑施恩勿报框架
R — 原文 (Reading)
"舍己毋处其疑,处其疑,即所舍之志多愧矣;施人毋责其报,责其报,并所施之心俱非矣。"
— 洪应明, 菜根谭·舍己勿疑 施恩勿报
I — 方法论骨架 (Interpretation)
做真正的利他行为——事前不犹豫,事后不求报。
这个框架提供了两条自我检验标准:
- 舍己时:不要犹豫计较——如果你在"舍"的时候还在想"值不值"、"亏不亏",那么这个"舍"的纯粹性已经打了折扣。真正的舍己是"舍了就是舍了",不是"舍了等着回报"。
- 施恩时:不要期待回报——如果你帮助别人是为了"有一天让他还",那么这个"施恩"的行为就已经变味了。真正的施恩是"我帮你,因为我选择帮你",不是"我帮你,因为你欠我"。
方法论本质:
- 判断一个行为是不是"真利他",核心标准是:"事后会不会后悔?"
- 如果舍的时候犹豫,说明你还没准备好舍——可以先想清楚,再决定舍还是不舍。
- 如果施的时候期待回报,说明这个施的本质是投资——不是不可以,但不要骗自己这是"纯粹利他"。
一句话总结: 舍己时问"舍了之后会不会后悔"——不会后悔的舍,才是真舍;施恩时问"如果对方永远不还,我还帮吗"——会的帮,才是真帮。
A1 — 书中的应用 (Past Application)
案例 1: 大禹治水三过家门而不入
- 问题: 大禹受命治水,面对的是一个需要30年专注投入的巨大工程,这意味着在父亲死后(父亲因治水失败被处死)继续承担风险,以及长期离开家人。
- 方法论的使用: 大禹没有"处其疑"——他没有在"要不要舍这个家"的问题上犹豫计较。他选择了全力以赴治水,三过家门而不入,这个"舍"是纯粹的。"舍己"的志没有打折。
- 结论: 不犹豫的舍,才是真正的舍。大禹的舍己行为成为千古楷模,正是因为他的"舍"没有犹豫、没有计较、没有期待回报。
- 结果: 治水成功,大禹建立夏朝,成为"圣人"。他的成功来自于"舍己时的不犹豫"——这种纯粹性让他能够全力以赴。
案例 2: 刘邦的"散财"与项羽的"吝啬"
- 问题: 刘邦和项羽在争夺天下时,都需要争取人才。项羽是"吝啬"的(舍不得封赏),刘邦是"大方"的(舍得封赏)。
- 方法论的使用: 从"施恩勿报"的角度看,刘邦的"施"不是期待某一个人回报,而是"我用封赏换取你的忠诚和效力"——这是一种选择,不是一种投资。如果刘邦"责其报"(要求每个人必须立功才能封赏),他的施恩就变味了,人才也会流失。
- 结论: "施恩勿报"不是说不能有目的地施惠,而是说施恩时不要期待即时回报,更不要在施恩后念念不忘。
- 结果: 刘邦以"舍得施"汇聚了韩信、张良、萧何等人才,最终建立汉朝;项羽以"吝啬"失去范增等人才,最终乌江自刎。
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 决定是否为他人牺牲利益:用户面临"是否要为了帮助别人而放弃自己的利益"的选择,不确定自己该不该舍、舍了会不会后悔。
- 评估利他行为的动机:用户帮了别人,但开始计较"我帮了他,他怎么没有感谢我"——想知道自己的动机是否纯粹。
- 合作关系中"谁付出更多"的失衡:用户觉得自己付出很多但没有得到相应的回报,想知道是自己计较还是对方真的不公平。
- 决定是否要为一个机会放弃现有利益:用户面临"是否要放弃现在稳定的收入去追求一个不确定的机会"——需要检验这个决定的牺牲是否纯粹。
- 评估自己的"舍己"是否值得:用户已经做了一次"舍",但开始怀疑这个"舍"是否值得,需要一个框架来检验。
语言信号 (用户的话里出现这些就应激活)
- "我该不该为他牺牲"
- "我付出了这么多值得吗"
- "我对别人好但没有得到回报"
- "我帮了他,他却没有谢我"
- "我在想要不要放弃这个去追那个"
- "我觉得我付出比对方多"
- "我舍了这么多,但好像没有好结果"
- "我在计算值不值"
与相邻 skill 的区分
- 与
f09(天理人欲分判框架)的区别:f09 问的是"这条路是公利还是私利"(方向问题);f11 问的是"我的牺牲是纯粹的还是计量的"(动机问题)。f09是方向,f11是动机。 - 与
f01(退让一步决策框架)的区别:f01 问"要不要退让"(策略问题);f11 问"我的舍是否纯粹"(动机问题)。f01是战术,f11是道德检验。
E — 可执行步骤 (Execution)
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 · 119 tokens per session scan A 4f96e398baa4
f11 selflessness-check is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 119 tokens to every session and 2,718 once invoked, about $0.0006 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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