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 R2h1/my-book-skills --skill v15-vsgit clone --depth 1 https://github.com/R2h1/my-book-skillsWrote 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/r2h1/my-book-skills/v15-vs)<a href="https://agentmods.dev/skills/r2h1/my-book-skills/v15-vs"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v15-vs/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/r2h1/my-book-skills/v15-vs"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v15-vs.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 | $0.00116 | $0.01940 |
| Opus 5 | $0.00058 | $0.00970 |
| Sonnet 5 | $0.00023 | $0.00388 |
| Haiku 4.5 | $0.00012 | $0.00194 |
Grade A, and why
execution-vs-idea-multiplier 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
执行 vs 点子：乘法效应
R — 原文 (Reading)
慢车道容易导致平庸，因为数字总是平庸的。……不管你是不是有意识的，走慢车道的人都坚信提升内在价值可以创造财富。……快车道财富公式的关键是要有一个很高的限速，或者无限制的价值范围。这将创造杠杆。而你的产品或服务所在的市场决定了你的上限。你的限速越高，你的收入越高。
— MJ·德马科, 第18章
当我推出一种新的服务，几乎没有什么成本。我发了一封电子邮件给我的广告客户，简要概述了该方案。就在短短的几分钟内，我的年收入又多了几千美元。我投资的时间可以忽略不计，结果却可以累计计算。高限速等于高潜在收入。
— MJ·德马科, 第18章
I — 方法论骨架 (Interpretation)
点子本身不值钱，值钱的是"点子在多大范围内被执行"。德马科的核心观点是：财富取决于"限速"（market ceiling），而不是"点子是否原创"。一个平庸的点子如果在一个大市场中被执行到极致，远比一个天才点子在小市场中从未被执行更有价值。
乘法效应的本质：
- 慢车道思维：点子价值 = 点子本身的优劣（主观判断）
- 快车道思维：点子价值 = 市场天花板 × 执行深度 × 执行速度
关键洞察：你不需要一个"原创"的点子。德马科列举了大量成功案例——改进现有产品、升级已有服务、在已有品类中做得更好——这些都算不上"原创"，但通过执行创造了巨大财富。
执行对点子的放大作用遵循乘法而非加法：市场越大，单位执行的回报越高；执行越深，竞争壁垒越厚。所谓"运气"通常是"某个平庸的点子在正确的时间被持续执行到突破点"的结果。
A1 — 书中的应用 (Past Application)
案例：德马科的互联网公司
德马科并非第一个做互联网广告的人，他的商业模式并不原创——在线广告联盟早已存在。但他专注于执行：每天优化转化率、增加流量、测试定价。他做了一件微小的事——发了一封邮件给广告客户介绍新方案——就在几分钟内增加了数千美元年收入。这不是因为他的点子多好，而是因为他已经在执行系统中，任何微小的优化都被市场放大。
案例：德马科列举的快车道成功故事
书中列出的快车道故事没有一个是"原创到从未有人想过"的：
- 有人改进了一种能量棒，以1.92亿美元出售
- 有人发明了一种更好的拖把，在电视购物卖出5万把
- 有人创建了一个听篮球比赛信息的网站，后来以55亿美元出售
- 有人改进了现有产品，卖出4000万个"全新升级版本"
所有成功都来自"执行中迭代"，而非"等待完美创意"。
A2 — 触发场景 (Future Trigger) ★
典型触发场景：
- 你对自己说"这个点子已经有人做过了"，然后放弃行动
- 你在多个点子之间反复横跳，无法决定"哪一个才是最好的"
- 你看到别人的成功，第一反应是"他运气好/点子好/资源好"
- 你在等待"那个完美的创意"从天而降
语言信号：
- "这个市场太拥挤了"
- "这个点子不够创新"
- "等我想到一个没人做过的东西"
- "他已经做了，我没机会了"
与相邻技能区分：
- 与 v14（红线原则）的区别：v14帮你判断"我在兴趣区还是承诺区"；v15帮你回答"我的点子是否需要完美才能行动"——v14是行动触发器，v15是行动理由。
- 与 v23（摇钱树分类）的区别：v15告诉你"先执行再优化"；v23告诉你"选择哪种商业模式来执行"——前者破除行动障碍，后者提供行动方向。
E — 可执行步骤 (Execution)
当技能被激活后，按以下步骤执行：
-
停止点子评估，开始执行评估：把问题从"这个点子好不好"改为"这个市场有多大"和"我能在多大程度上执行"。市场天花板决定了你的财富上限，点子的原创性只影响你的进入姿势。
-
选择"已经验证"的市场：不要追求无人涉足的蓝海。有人已经在做的市场证明有需求。你的机会不在于"第一个做"，而在于"做得更好/不同/更便宜/更快"。
-
设定执行密度指标：为自己定义每周必须完成的"执行单元"数量——如"每周必须接触20个潜在客户"或"每周必须发布3次内容"。执行密度比点子质量更容易控制，也更能预测结果。
-
建立反馈-迭代循环：执行不是"做完就完"，而是"做完->收集反馈->调整->再做"。德马科每周优化转化率0.1%的微小改进，累积成巨大的收入差距。
-
用市场数据替代自我判断：不要在头脑中判断点子好坏。把最小版本推向市场，让市场数据告诉你答案。一个"平庸"的点子如果获得正反馈，比一个"天才"的点子从未被测试要强一万倍。
B — 边界 (Boundary) ★
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 · 103 lines · 116 tokens per session scan A 4be569fccafa
execution-vs-idea-multiplier is a skill published in the GitHub repository R2h1/my-book-skills (2 stars, last pushed 26d ago), licensed MIT. It adds 116 tokens to every session and 1,940 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 2026-08-31.
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