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 f07git 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/f07)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/f07"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f07/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/f07"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f07.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 | $0.00108 | $0.02542 |
| Opus 5 | $0.00054 | $0.01271 |
| Sonnet 5 | $0.00022 | $0.00508 |
| Haiku 4.5 | $0.00011 | $0.00254 |
Grade A, and why
f07 timing-patience 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
见微知著守正待时
R — 原文 (Reading)
"伏久者飞必高,开先者谢独早;知此,可以免蹭蹬之忧,可以消躁急之念。"
— 洪应明, 菜根谭·见微知著 守正待时
I — 方法论骨架 (Interpretation)
比较的不是当下的快慢,而是最终的势能。
这个框架提供了两个反直觉的判断原则:
- "伏久者飞必高":潜伏得越久,一旦起飞飞得越高。那些看起来"一夜爆红"的人,实际上积累了很多年——他们只是在最近才遇到了适合他们的条件。不要因为暂时没有成果而低估长期积累的价值。
- "开先者谢独早":过早开始、过早加速的人,往往也过早衰败。太早成功往往意味着基础不稳、根基不深,容易在后续的竞争中败下阵来。
方法论本质:
- 当你觉得自己"还没成功"时,问自己:我是在"伏久"(长期积累)还是在"落后"(原地踏步)?这两者的表面现象很相似,但本质不同。
- 当你觉得自己"落后于他人"时,比较的不是当下的位置,而是最终的势能。
一句话总结: 不要用当下的快慢来判断最终的高度。
A1 — 书中的应用 (Past Application)
案例 1: 姜子牙钓鱼愿者上钩
- 问题: 姜子牙年迈时还在渭水边钓鱼,看似"一事无成",同期的贤士早已有了好的归宿。
- 方法论的使用: 姜子牙用"伏久者飞必高"的逻辑自我评估:他的才华和能力还没有遇到合适的时机(周文王),所以还在"潜伏期",这不是失败,而是在积累势能。
- 结论: "伏久"不是"落后",而是"飞高之前的必经阶段"。
- 结果: 姜子牙在80岁左右遇到周文王,一飞冲天,辅佐周朝八百年基业。他的"飞高"来自于几十年潜伏期的积累,而不是少年得志。
案例 2: 刘邦 vs 项羽
- 问题: 项羽在楚汉之争初期占尽优势,巨鹿之战破釜沉舟,诸侯跪拜;刘邦则多次败北,狼狈逃窜。
- 方法论的使用: 从"开先者谢独早"的角度看,项羽的过早辉煌(少年英雄、天下无敌)正是他后来败亡的预兆——他的成功太早,没有足够的政治积累来支撑帝业。而刘邦的"屡败"实际上是在积累政治资本、团队能力、民心向背。
- 结论: 项羽的"开先"导致"谢独早";刘邦的"伏久"导致"飞必高"。
- 结果: 刘邦建立汉朝,项羽乌江自刎。从最终的势能看,刘邦的"慢"赢了项羽的"快"。
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 长期努力但没有成果:用户已经坚持了很久(项目、事业、学习),但看不到明显的进步或突破,开始怀疑是否应该继续。
- 与同龄人比较后焦虑:看到别人"年少成名"(融资、上市、暴富),感觉自己落后了,想放弃现在的方式去追热点。
- 阶段性评估"是否应该继续等待":创业者在漫长的投入期想知道"还要等多久";职场人在看不到晋升通道时想知道"是否该转方向"。
- 想要理解"为什么我还没成功":用户想找一个框架来理解自己的处境,避免陷入自我否定或焦虑。
- 评估他人的"成功"是否可持续:用户看到别人"一夜成名"或"快速崛起",想判断这是"真正的起飞"还是"早谢的风险"。
语言信号 (用户的话里出现这些就应激活)
- "为什么别人都成功了而我还没有"
- "我都努力了这么久怎么还没结果"
- "是不是我不够好所以还没成功"
- "我是不是落后太多了"
- "看别人这么年轻就成功了,我很焦虑"
- "这个方向我要坚持多久才能看到结果"
- "我已经等了很长时间了,还要继续等吗"
- "他这么年轻就这么厉害,是不是我哪里做错了"
与相邻 skill 的区分
- 与
f05(净从秽生转化框架)的区别:f05 关注"污秽中可以转化",重点是"如何把低潮变成成长";f07 关注"潜伏期要多久才结束",重点是"如何判断时机是否到来"。f05是转化路径,f07是时机判断。 - 与
f13(逆增上缘修行框架)的区别:f13 讲"逆境是修行的机会";f07 讲"潜伏期是起飞的前奏"。f13是在逆境中寻找价值,f07是在等待中保持信心。 - 与
f20(以失意之思制得意之念)的区别:f20 用时间透视法来稀释当下的执念(以老视少);f07 用势能比较来回答"该不该继续等待"的问题。
E — 可执行步骤 (Execution)
当 skill 被激活后,agent 应按以下步骤执行:
- 区分"伏久"还是"原地踏步"
- 完成标准: 明确说出"你是处于积累期(伏久)还是重复期(原地踏步)",判断标准是:过去一段时间,你的能力、见识、资源是否在持续增长?即使成果还没显现。
- 判停条件: 若用户无法回答(无法评估自己是否有成长),则进入下一步的"外部视角对比"。
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 · 137 lines · 108 tokens per session scan A 99c7e4e6e3ae
f07 timing-patience is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 108 tokens to every session and 2,542 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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