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 f20git 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/f20)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/f20"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f20/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/f20"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/f20.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 | $0.00151 | $0.02075 |
| Opus 5 | $0.00076 | $0.01038 |
| Sonnet 5 | $0.00030 | $0.00415 |
| Haiku 4.5 | $0.00015 | $0.00208 |
Grade A, and why
f20-perspective-time-reversal 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.
以失意之思制得意之念框架
R — 原文 (Reading)
"自老视少，可以消奔驰角逐之心；自瘁视荣，可以绝纷华靡丽之念。"
— 洪应明, 以失意之思 制得意之念
I — 方法论骨架 (Interpretation)
这是时间透视法——用站在人生终点或未来某个节点的"你"，来回看当下的执念，从而稀释执念的强度。
两种透视角度：
-
以老视少（从老年回看青年）：你现在拼命追逐的东西，十年/二十年后还重要吗？站在80岁的自己看今天，还会为这件事如此焦虑吗？
-
自瘁视荣（从衰败回看荣耀）：你现在拥有的风光，如果已经失去，还值得你这么患得患失吗？
核心逻辑：执念之所以强烈，是因为它占据了全部视野。引入时间维度后，同样的东西会显得渺小——不是否认它的存在，而是给它一个合适的比例感。
A1 — 书中的应用 (Past Application)
案例 1: 曹操人生如朝露
- 问题: 曹操在征战生涯中，面对权势荣耀的诱惑，担忧自己是否迷失在追逐中
- 方法论的使用: 曹操用"譬如朝露，去日苦多"的视角，提醒自己人生短暂，荣耀只是瞬间
- 结论: 既然人生苦短，就应该珍惜时间做真正有意义的事，而不是被虚荣牵绊
- 结果: 曹操成为一代枭雄，但始终保持对人生短暂的清醒认知
案例 2: 陈子昂登幽州台的感慨
- 问题: 陈子昂怀才不遇，面对壮志难酬的困境，执着于功名
- 方法论的使用: 他用"前不见古人，后不见来者，念天地之悠悠"的时空无限视角，看清个人功名的渺小
- 结论: 个人的荣辱在宇宙面前不过是一粒尘埃
- 结果: 陈子昂虽然政治上不得志，但成为唐代诗歌革新的重要人物
案例 3: 长城万里今犹在（反例警示）
- 问题: 秦始皇追求万世功名，修长城、立霸业
- 方法论的使用: 若用"以老视少"的框架检验：万里长城至今犹在，但秦始皇早已化为尘土
- 结论: 追求身后名也是执念的一种表现
- 结果: 追求永恒的权势，最终都无法对抗时间的消解
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 成功高潮期：项目上线大获成功、获得融资、升职加薪，整个人处于极度兴奋中，开始规划更大的扩张
- 沉没成本执念：已经投入大量时间/金钱/感情在一个方向上，明知不对但不愿放弃（"我都干了这么久……"）
- 患得患失期：在得与失之间极度焦虑，特别是在重要决策前夜反复权衡
- 对某个人/关系极度执着：无法放下某段关系或某个人，反复纠缠
语言信号 (用户的话里出现这些就应激活)
- "我太想成功了"
- "这次机会太好了，不能错过"
- "我已经投入这么多了，不能放弃"
- "等我升职了/有钱了就轻松了"
- "我觉得这次一定能成"
- "我不甘心"（不甘心通常就是得意之念的变体）
- "为什么我总是得不到"（与"以失意之思"对应，过于执着于"得"）
与相邻 skill 的区分
- 与
f10 苦中有乐 得意生悲的区别：f10是预判福祸转化的推理框架（苦→乐/乐→悲），本框架是操作性的时间透视技术 - 与
f06 宠辱不惊情绪决策框架的区别：f06强调"当下"的情绪管理（花开花落/云卷云舒），本框架强调"跨时间"的视角切换
E — 可执行步骤 (Execution)
当 skill 被激活后, agent 应按以下步骤执行:
-
确认执念对象
- 完成标准: 用户明确说出"我现在最放不下的是什么"——要具体到一件事，而不是"我放不下很多事"
-
执行时间透视（两选一）
- 完成标准 A（以老视少）：用户想象自己80岁，回看今天这件事，问自己"那时候我还会care吗？"
- 完成标准 B（自瘁视荣）：用户想象自己已经失去了现在拥有的一切（工作/关系/财富），问自己"那时的我会怎么看今天的执念？"
- 判停条件: 若用户目前处于严重低谷（刚失败/刚失恋），则跳过"自瘁视荣"，只用"以老视少"（引导看向未来的希望，而非放大当下的失去）
-
写出"稀释后的判断"
- 完成标准: 用户用一句话写下时间透视后的结论，例如"这件事在10年后看，根本不重要"或"失去这份工作，我仍然可以……"
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 用户正处于严重失败或抑郁状态（刚被裁/刚分手），这会放大"失意之思"的负面影响，让他们更加自我否定——这时候应该用f13逆增上缘
- 需要立即行动的关键时刻（如谈判中途、危机处理中），时间透视会让人犹豫不决
- 刚取得合法合理成功的人（正常的高兴不应该被稀释）
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 · 151 tokens per session scan A df6b8f502564
f20-perspective-time-reversal is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 151 tokens to every session and 2,075 once invoked, about $0.0008 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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