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 p11git 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/p11)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/p11"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/p11/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/p11"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/p11.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 | $0.00078 | $0.01535 |
| Opus 5 | $0.00039 | $0.00767 |
| Sonnet 5 | $0.00016 | $0.00307 |
| Haiku 4.5 | $0.00008 | $0.00153 |
Grade A, and why
p11退让一步加让三分 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.
What it actually says
退让一步加让三分原则
R — 原文 (Reading)
"人情反覆,世路崎岖。行不去处,须知退一步之法;行得去处,务加让三分之功。"
— 洪应明, 《菜根谭·退让一步 加让三分》
I — 方法论骨架 (Interpretation)
- 世路崎岖,人情反覆——这是前提。 洪应明不天真,他知道世界是艰难的、变化的。
- 走不通时,退一步。 "行不去处"不是让你放弃,而是换一条路、换一个角度、换一个策略。
- 走得通时,让三分。 即使你占了优势,也要让出三分——不是软弱,是给自己留后路。
- 进退皆要有分寸。 不是永远退,也不是永远进,而是根据情境调整。
- 核心:"退一步"不是目的,"进步"才是目的。 退是为了进,让是为了得。
A1 — 书中的应用 (Past Application)
案例: 洪应明论"行不去处退一步,行得去处让三分"
- 问题: 什么时候该进,什么时候该退?如何把握分寸?
- 方法论的使用: 洪应明给出明确的分界——走不通时退,走得通时让。不是无原则的退让,而是根据处境的策略调整
- 结论: 进退都有其道理,关键是要有分寸;该退时退,该让时让
- 结果: 能进退自如的人,在崎岖世路中能走得更远
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 合作/谈判中,利益分配陷入僵局时 — "我不能让,再让我就没利润了"、"我已经退了很多了"
- 职场/生意场中,面临竞争不知道该进还是该退时 — "我要不要和他抢这个客户?"、"这个机会我该争取还是放弃?"
- 与他人冲突,思考"我该强硬还是服软"时 — "我不能退,退了就被当成软柿子"、"我退了这么多,该强硬一次了吧?"
语言信号 (用户的话里出现这些就应激活)
- "该不该让?"
- "凭什么要我退?"
- "我已经退了很多了"
- "我要不要和他抢?"
- "这个利益我该争吗?"
与相邻 skill 的区分
- 与
p07忍让为高利人利己的区别: p07是底层逻辑(让是策略),p11是具体操作(三分、一步);p07是理论,p11是应用 - 与
p04快意早回头的区别: p04是"得意时要收",p11是"走不通时退,走得通时也让";p04更聚焦于顺境,p11是普遍原则
E — 可执行步骤 (Execution)
当 skill 被激活后,agent 应按以下步骤执行:
-
判断当前是"行不去"还是"行得去"
- 完成标准: 用户明确自己现在的处境是走不通还是走得通
-
若"行不去":用"退一步"测试——除了这条路,还有什么路可以到达目标?
- 完成标准: 用户找到替代路径或调整目标
-
若"行得去":用"让三分"测试——如果我让出三分,未来的长期收益是什么?
- 完成标准: 用户识别出"让"带来的合作持续性和人际口碑
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 核心利益不可退让时:如涉及原则问题、生死存亡的关键节点
- 对方是纯恶意:对方不是合作而是消灭你,此时退让是自取灭亡
- 组织需要争取合理权益时:过度退让会让组织利益受损
作者在书中警告的失败模式
- 快意不知回首(来自反例ce03):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:该退时退、该让时让,才能进退自如;只知道进不知道退,最终会陷入绝境
作者的盲点 / 时代局限
- 现代商业竞争有时需要"All in"才能赢,过度退让可能错失历史性机会
- "让三分"在零和博弈中可能被视为软弱,导致对方进一步施压
容易混淆的邻近方法论
- 忍让为高(p07):p07更强调心态(不要计较),p11更强调策略(何时退何时让)
- 守正安分(p28):p28是"安分守己",p11是"进退有度";p28偏静态,p11偏动态
相关 skills (阶段 3 填充)
- depends-on: p07忍让为高利人利己, p04快意早回头
- contrasts-with: p28守正安分远祸
- composes-with: p01栖守道德
审计信息
- 验证通过: V1 ✓ / V2 ✓ / V3 ✓
- 测试通过率: 待填充
- 蒸馏时间: 2026-04-24
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 · 122 lines · 78 tokens per session scan A a6d71efaf39e
p11退让一步加让三分 is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 78 tokens to every session and 1,535 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 2026-09-03.
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