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 shi-ji-deng-daigit 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/shi-ji-deng-dai)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/shi-ji-deng-dai"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/shi-ji-deng-dai/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/shi-ji-deng-dai"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/shi-ji-deng-dai.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 | $0.00144 | $0.02601 |
| Opus 5 | $0.00072 | $0.01300 |
| Sonnet 5 | $0.00029 | $0.00520 |
| Haiku 4.5 | $0.00014 | $0.00260 |
Grade A, and why
shi-ji-deng-dai 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 11d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
时机等待法
R — 原文 (Reading)
"需,须也,险在前也。刚健而不陷,其义不困穷矣。" — 《易经》需卦·彖传
"需于郊,利用恒,无咎。" — 《易经》需卦·初九
"需于沙,小有言,终吉。" — 《易经》需卦·九二
"需于泥,致寇至。" — 《易经》需卦·六四
I — 方法论骨架 (Interpretation)
时机等待法是一种在外部条件未成熟时主动选择按兵不动、保存实力、等待时机的决策框架。核心逻辑是:前方有险,强行突进必然陷落;但刚健者不因此放弃,而是有层次地等待。
五层次等待框架:
- 需于郊(初九):离危险很远,可以保持稳定节奏,不必过度反应。适合长期战略观望期。
- 需于沙(九二):开始接近危险边缘,出现小的质疑和噪音,但大势仍然有利。保持定力,用结果说话。
- 需于泥(六四):危险已经很近,竞争对手(寇)已经开始逼近。保持警觉,减少暴露,不主动激化冲突。
- 需于血(九五):进入冲突区,付出代价,但最终因准备充分而有利。
- 需于酒食(上六):危险解除,丰收成果,举办酒席庆祝。
关键心法:不是消极等待,而是有层次、有警觉的等待。等待期间要做三件事:积蓄刚健之力(提升实力)、判断险在哪(识别风险源)、确认谁会陷落(观察竞争对手的失误)。
A1 — 书中的应用 (Past Application)
案例1: 文王囚于羑里七年
- 问题: 商纣王将周文王囚禁于羑里,长达七年。文王若强行反抗,必被处死;但若就此沉沦,周族将失去领袖。
- 方法论的使用: 文王判断自己处于"需于泥"阶段——危险已非常近(被囚),不能主动激化矛盾(反抗会导致杀身之祸)。他选择用"演卦"方式隐忍等待,在被囚期间深化对易理的思考,将危机转化为文化积累;同时向纣王展示"无害"的姿态,避免进一步加害。
- 结论: 七年之后,纣王放松警惕,文王获释,且因学术成就获得了更高的政治声望。
- 结果: 文王归周后加速整合西部诸侯,为武王伐纣奠定基础。七年等待换来数百年周室基业。
案例2: 周公东征后迁都洛邑
- 问题: 武王伐纣后,周朝定都镐京,但镐京偏西,难以控制东方新征服的广大领土。成周(洛邑,今洛阳)是更合适的政治中心,但迁都兹事体大,诸侯疑虑,强行迁都可能引发叛乱。
- 方法论的使用: 周公判断:都城偏西是结构性问题,但立即迁都政治条件不成熟(诸侯疑虑、军心未稳)。他先以"东征平叛"建立军事权威,再用"营建洛邑"展示诚意,最后在各方条件成熟后完成迁都。
- 结论: 迁都不是一步到位,而是分阶段推进:军事胜利(清除障碍)→ 基建展示(创造吸引力)→ 政治说服(达成共识)。
- 结果: 洛邑成为周朝稳定数百年的政治中心,东方诸侯归心,周朝完成真正的统一。
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 创业项目方向正确,但市场还没起来,团队和投资人都很焦虑,询问是否应该调整方向或坚持等待。
- 候选人面试终面后进入漫长决策期,公司没有立刻发offer,不知道是应该催促还是继续等待。
- 创业者看到行业机会,但自身资源不足,行业巨头已入场,想知道应该正面竞争还是等待细分机会。
- 企业进行战略转型,新业务模式还在验证,但旧业务现金流仍在支撑,新旧业务之间的节奏判断存疑。
语言信号(用户的话里出现这些就应激活)
- "时机不对"
- "再等等看"
- "条件不成熟"
- "好事多磨"
- "隐忧"
- "先观望"
- "对手比我们强太多"
- "市场还没到"
- "我应该现在行动还是等?"
与相邻 skill 的区分
- 与「德-位-匹-配-论」(f04)的区别: 德位匹配论问的是"我有没有能力承接这个位置"(内部能力诊断),时机等待法问的是"外部条件是否已经成熟"(外部环境诊断)。德位问题要先修己,等待法问题要先观外。
- 与「变-革-创-新-论」(f06)的区别: 变革创新论强调主动打破局面,时机等待法强调在条件未成熟时保持克制。两者对立统一:等待是为了更好的变革时机,变革是等待之后的行动出口。
E — 可执行步骤 (Execution)
当 skill 被激活后,agent应按以下步骤执行:
- 判断当前处于哪一层次
- 完成标准: 明确用户当前处境对应"郊/沙/泥/血/酒食"哪一层,结合距离危险的远近、压力大小、竞争者状态进行判断。
- 判停条件: 若已进入"血"层(冲突已爆发,损失已产生),此skill已经不适用,需要启动危机处理或其他skill。
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.
- 11d ago First seen · 143 lines · 144 tokens per session scan A bce23759a192
shi-ji-deng-dai is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 144 tokens to every session and 2,601 once invoked, about $0.0007 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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