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 f29git 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/f29)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/f29"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f29/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/f29"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f29.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 | $0.00128 | $0.02078 |
| Opus 5 | $0.00064 | $0.01039 |
| Sonnet 5 | $0.00026 | $0.00416 |
| Haiku 4.5 | $0.00013 | $0.00208 |
Grade A, and why
f29-authentic-needs-discovery 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
自适其性回归框架
R — 原文 (Reading)
"峨冠大带之士，一旦睹轻蓑小笠飘飘然逸也，未必不动其咨嗟；长筵广席之豪，一旦遇疏帘净几悠悠焉静也，未必不增其绻恋。"
— 洪应明, 生活自适其性 贵人不若平民
I — 方法论骨架 (Interpretation)
这是需求真伪识别法——通过反差刺激，发现你现在追求的东西未必是你真正需要的。
核心洞察：我们往往不知道自己真正想要什么，但我们知道自己不想要什么。通过观察"我们被什么所吸引"，可以反推"我们真正需要什么"。
两个反向刺激：
-
达官贵人看到平民的自由飘逸，未必不动心：那些拥有名利的人，看到简朴自由的生活，内心往往涌起向往——说明自由比名利更接近真实需求。
-
富豪看到简朴生活，未必不向往：奢华之人在遇到"疏帘净几"的清净环境时，往往感到眷恋——说明清净比奢华更接近真实需求。
推论：你现在追求的东西，可能只是别人告诉你应该追求的，而不是你真正需要的。 检验方法：想象你已经拥有了它，然后观察你是否仍然感到不满足。
A1 — 书中的应用 (Past Application)
案例 1: 陶渊明归隐田园（反向验证）
- 问题: 陶渊明在官场中拥有一定的地位和俸禄，但他感到不满足
- 方法论的使用: 他用"反差刺激"发现：自己在官场中的"峨冠大带"并不快乐，而看到"轻蓑小笠"的农人生活，内心反而向往
- 结论: 他真正需要的不是官位，而是自由和自然
- 结果: 陶渊明辞官归隐，写出了"采菊东篱下，悠然见南山"——中国隐逸文化的开端
案例 2: 刘禹锡陋室铭
- 问题: 刘禹锡被贬官，失去地位和财富
- 方法论的使用: 他发现"长筵广席"的奢华并没有带来内心的安宁，而"陋室"的简朴反而让他保持自在
- 结论: 安宁不在于物质的丰富，而在于内心的充实
- 结果: 《陋室铭》流传千古，刘禹锡成为中国文学史上的标杆人物
案例 3: 范蠡功成身退
- 问题: 范蠡辅佐越王勾践灭吴，拥有了极大的权力和名誉
- 方法论的使用: 他用反差刺激发现：权力巅峰的同时也意味着风险（"敌国破，谋臣亡"），而泛舟五湖的自由才是真正的幸福
- 结论: 权力不是真正需要的，自由和生命才是
- 结果: 范蠡功成身退，后经商成为"陶朱公"，善终而富
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 职业选择迷茫：在多个Offer之间纠结，或者不知道该继续打工还是创业，或者要不要转行
- 生活方向迷茫：已经有了一定的成就或物质条件，但总觉得"不是真正想要的"
- 消费决策困境：想买某件贵重物品（房/车/奢侈品），但不确定是真正需要还是社会比较
- 关系选择迷茫：在多段关系之间纠结，或者不确定现在的关系是否真的适合自己
语言信号 (用户的话里出现这些就应激活)
- "我不知道自己想要什么"
- "总觉得不是真正想要的"
- "我应该过什么样的生活"
- "选哪个都觉得不对"
- "我现在追求的真的是我需要的吗"
- "为什么我有了这些还是不开心"
- "如果我有钱了/升职了/结婚了就……"（填完后感到不确定）
- "好像少点什么，但说不上来是什么"
与相邻 skill 的区分
- 与
f20 以失意之思制得意之念的区别：f20是用时间透视稀释执念（未来视角），本框架是用反差发现真实需求（对比视角） - 与
f15 格物致知内观框架的区别：f15是"静下来往内看"，本框架是"通过对比刺激往内看"——一个是独处，一个是借外境
E — 可执行步骤 (Execution)
当 skill 被激活后, agent 应按以下步骤执行:
-
列出"现在拥有的"和"向往的"
- 完成标准: 用户分别写下两项清单： a. "我现在拥有的"（职业/收入/关系/社会地位等） b. "我内心真正向往的"（不需要理由，直觉判断）
-
寻找"反差刺激"
- 完成标准: 用户回忆或想象一个场景：在那个场景中，你看到了完全不同生活方式的人，你内心感到了一丝触动——那个触动是什么？
- 判停条件: 若用户找不到任何触动（对什么都无感），可能是情感隔离，需要先处理情感问题
-
问"拥有了还想要吗"
- 完成标准: 用户对清单a中的每一项，问自己："如果我已经拥有了它，而且永远不会再失去，我还想要什么？"——第一个冒出来的答案，往往更接近真实需求
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 · 141 lines · 128 tokens per session scan A 9d2f5b4cd44a
f29-authentic-needs-discovery is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 128 tokens to every session and 2,078 once invoked, about $0.0006 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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