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 ying-kui-jing-shigit 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/ying-kui-jing-shi)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/ying-kui-jing-shi"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/ying-kui-jing-shi/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/ying-kui-jing-shi"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/ying-kui-jing-shi.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 | $0.00177 | $0.01836 |
| Opus 5 | $0.00088 | $0.00918 |
| Sonnet 5 | $0.00035 | $0.00367 |
| Haiku 4.5 | $0.00018 | $0.00184 |
Grade A, and why
ying-kui-jing-shi 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 13d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
盈亏警示法
R — 原文 (Reading)
"丰亨，王假之，勿忧，宜日中。" "日中则昃，月盈则食，天地盈虚，与时消息。" — 《易经》丰卦
I — 方法论骨架 (Interpretation)
丰卦的核心智慧是"丰顶即衰"——世间万物到达鼎盛之日，正是走向衰败之始。日中必昃，月满必亏，这是天道运行的铁律。
应用到创业实践中：
- 识别拐点信号：当业务指标全面向好、团队士气高涨、扩张声浪强烈时，往往是风险积累最深的时候
- 保持日中警戒：创始人在最辉煌的时刻反而要更加警觉，因为极点之后无路可升
- 主动设置止损：为团队和业务预先设定"退场机制"和"警示水位线"
- 泰否循环意识：理解繁荣与衰退是交替循环的，主动管理这个周期而非被动承受
本质是用"丰盛的乐观"对冲"衰败的必然"，在最高点主动降温。
A1 — 书中的应用 (Past Application)
案例1: 商纣盛世转衰
- 问题: 商朝在帝辛（纣王）初期国力达到顶峰，经济繁荣，疆域扩张，四方臣服
- 方法论的使用: 丰卦警示"日中必昃"，但纣王未设警示系统，误以为盛世永恒，骄奢淫逸加剧
- 结论: 繁荣顶点正是腐化起点，未能预置拐点预警导致决策盲区
- 结果: 牧野之战，曾经的超级强国一夜覆灭
案例2: 周朝建立后守成
- 问题: 武王伐纣后建立周朝，面对新生政权如何避免重蹈商朝覆辙
- 方法论的使用: 周公旦践行"丰亨勿忧，宜日中"——不沉溺于开国功业，以礼乐制度建立长期约束机制
- 结论: 以制度替代个人英明，为后世设置更持久的预警体系
- 结果: 周朝延续八百年，是中国历史上最长的朝代之一
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 用户汇报业务达到历史最高点（营收、用户数、市场份额全面新高）并表现出强烈乐观情绪
- 团队大规模扩张、融资顺利到位、公司估值飙升，呈现一派欣欣向荣景象
- 创业者在顺境中开始讨论激进扩张计划，或表达"我们已经赢了"的判断
语言信号
- "现在是我们历史上最好的时候"
- "数据全面飘红，没有理由不扩张"
- "这个赛道我们已经是老大了"
- "照这个速度，明年就能上市"
- "团队士气历史最高"
与相邻 skill 的区分
- 与 ce02（盛极而衰）的区别: ce02强调"已经盛极后的必然衰落"，本skill强调"在鼎盛时期主动预警"，本skill更主动、更具前瞻性
- 与 f19 自身: 盈亏警示法的核心是"预防"，不是"诊断"，是在最乐观时建立危机意识
E — 可执行步骤 (Execution)
-
识别"丰"的信号
- 完成标准: 列出当前业务/项目所有正向指标（3项以上），确认均处于历史高位
- 判停条件: 若正向指标不足3项或多数处于低位，本skill不适用
-
启动拐点预警思维
- 完成标准: 针对每个正向指标，写出"如果这个指标开始下降，最可能的原因是什么"（至少2个原因）
- 判停条件: 若无法找出下降原因，跳到步骤4
-
设置"警示水位线"
- 完成标准: 为每个核心指标预设"预警线"和"行动触发线"（例如：营收连续2个月下降15%即启动复盘）
- 判停条件: 若用户拒绝设置任何预警机制，本skill无法生效
-
建立"退场/收缩预案"
- 完成标准: 输出一份简短的"收缩预案"（收缩优先级、保留核心、裁撤边缘的决策树）
- 判停条件: 若用户坚持只做扩张计划不做收缩预案，则记录风险后结束
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 业务处于成长期、爬坡期，尚未到达真正的"丰"顶——此时使用会制造不必要的焦虑
- 用户已处于明确危机或衰退中——此时需要的是危机应对skill（如 ce07 穷则变），而非预警
- 用户表达的是短期波动（如季度性业绩起伏），而非结构性鼎盛
作者在书中警告的失败模式
- "勿忧"不是让你真的无忧，而是在丰时保持警觉才能无忧；真正的无忧来自预判而非盲目乐观
- 日中必昃的自然法则不可违抗，任何忽视这一点的创业决策都将受到惩罚
作者的盲点 / 时代局限
- 封建宗法背景：丰卦的警示主要针对君王治国，现代创业语境需要重新解读
- 德治乌托邦假设：书中假设君王有德能自控，但现实中商业领袖往往在成功后更难以自律
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.
- 13d ago First seen · 129 lines · 177 tokens per session scan A 81d1a3806785
ying-kui-jing-shi is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 177 tokens to every session and 1,836 once invoked, about $0.0009 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 2026-08-30.
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