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 p07git 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/p07)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/p07"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/p07/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/p07"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/p07.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 | $0.01548 |
| Opus 5 | $0.00046 | $0.00774 |
| Sonnet 5 | $0.00018 | $0.00310 |
| Haiku 4.5 | $0.00009 | $0.00155 |
Grade A, and why
p07忍让为高利人利己 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
忍让为高利人利己原则
R — 原文 (Reading)
"处世让一步为高,退步即进步的张本;待人宽一分是福,利人实利己的根基。"
— 洪应明, 《菜根谭·忍让为高 利人利己》
I — 方法论骨架 (Interpretation)
- 让一步不是输了,是给自己留余地。 "退步即进步的张本"——退一步的目的是给进一步创造条件。
- 让利的本质是投资,不是施舍。 "利人实利己的根基"——利他是利己的基础,不是零和游戏。
- 宽一分不是软弱,是给自己积福。 对别人宽厚,最后受益的是自己。
- 核心逻辑:处处占尽的人,最后无路可退。 锱铢必较的人,短期赢了,长期输给了人际关系和口碑。
- 这不是道德说教,是精明的策略。 洪应明是从"功利"角度谈忍让——让你的人最终会回报你。
A1 — 书中的应用 (Past Application)
案例: 洪应明论"退一步即进步的张本"
- 问题: 人际关系中为什么不能事事占上风
- 方法论的使用: 洪应明用"退步即进步的张本"解释让步的策略价值——退让是为了在关键时刻有进步的余地
- 结论: 处世让一步,表面看是输了空间,实际上是为下一步进攻积累资本
- 结果: 不让则无退路,让则进退自如
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 与他人发生冲突,考虑是否该先退一步时 — "明明是他不对,凭什么我让?"、"我让了就代表我服软了"
- 合作谈判中,面临利益分配博弈时 — "我多拿他少拿,他肯定不同意"、"我能让多少?"
- 感到被人冒犯,在"反击"和"忍了"之间犹豫时 — "我忍了会不会显得好欺负?"、"我不反击他会不会变本加厉?"
语言信号 (用户的话里出现这些就应激活)
- "凭什么要我让步?"
- "我让了会不会被当软柿子?"
- "他这样对我,我还要忍?"
- "这个亏我吃不吃?"
- "我不服这口气"
与相邻 skill 的区分
- 与
p11退让一步加让三分的区别: p11更强调具体操作(三分),p07更强调"让"的战略性价值;p07是底层逻辑,p11是应用方法 - 与
p12不恶小人待以礼的区别: p12是"待人"的态度,p07是"处世"的策略;p12关注对小人的处理,p07关注所有冲突情境
E — 可执行步骤 (Execution)
当 skill 被激活后,agent 应按以下步骤执行:
-
确认这不是一个"核心利益不可退让"的情境
- 完成标准: 用户区分"原则性问题"(不可退)和"面子/利益分配"(可以让)
-
用"退步即进步的张本"测试:如果我退这一步,未来我能获得什么?
- 完成标准: 用户识别出退让带来的长期收益(如人际关系、声誉、未来合作机会)
-
用"利人实利己"测试:这个"让"有没有可能变成一种投资?
- 完成标准: 用户意识到对方可能因为这次的宽厚而日后回报
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 核心底线被触碰:如诚信被质疑、尊严被践踏、合法权益被侵犯
- 系统性不公平:对方是故意长期的霸凌/压迫,忍让只会强化对方行为
- 紧急危机:需要立刻表态和行动的时刻,不能让
作者在书中警告的失败模式
- 以短攻短(来自反例ce15):揭人短处、对别人缺点耿耿于怀,结果是双方互相攻击
- 机制:不能忍让导致矛盾升级,最终两败俱伤
作者的盲点 / 时代局限
- 过度忍让可能被视为软弱,在现代职场可能被人利用
- "利人利己"的回报可能很慢,急性子的人可能等不到
容易混淆的邻近方法论
- 不恶小人(p12):p12专门针对小人,p07是普遍原则;p12更具体
- 中和为福(p13):p13强调性格平衡,p07强调行为策略;p13是内在修养,p07是外在行动
相关 skills (阶段 3 填充)
- depends-on: p11退让一步加让三分, p12不恶小人待以礼
- contrasts-with: p13中和为福偏激为灾
- composes-with: p15厚德载物雅量容人
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 · 91 tokens per session scan A f7925a23f428
p07忍让为高利人利己 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 1,548 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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