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 v23git 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/v23)<a href="https://agentmods.dev/skills/r2h1/my-book-skills/v23"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v23/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/v23"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v23.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 | $0.00101 | $0.02262 |
| Opus 5 | $0.00051 | $0.01131 |
| Sonnet 5 | $0.00020 | $0.00452 |
| Haiku 4.5 | $0.00010 | $0.00226 |
Grade A, and why
money-tree-five-seedlings 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
摇钱树五种苗分类
R — 原文 (Reading)
摇钱树是一种商业系统,它是快车道路线图中的主要街道。摇钱树在你"正式"退休前为你创造出被动收入流。……不是所有的生意都是快车道,许多生意无法转换成摇钱树。受到那些专家和生活导师的影响,想要成为企业家被误导为"成为自己的老板",或者"做你喜欢做的事情",其结果是不得不低头成为生意的奴役,这和签约一份工作并无不同。
— MJ·德马科, 第19章
有5种生意的苗木可以成长为摇钱树。请注意,这不是绝对的,它们彼此间也杂交繁殖。每一个系统都有一个等级,它决定了被动性的级别。等级越高意味着被动性越高,但其收入不一定越高。租赁系统(被动等级A)、计算机/软件系统(被动等级A-)、内容系统(被动等级B+)、分销系统(被动等级B)、人力资源系统(被动等级C)。
— MJ·德马科, 第19章
I — 方法论骨架 (Interpretation)
德马科将快车道业务分为五类,按"被动性"(即业务在多大程度上不需要你亲自投入时间)评级。核心判断标准是:这个业务在你睡觉/度假/生病时,是否还能产生收入?
五种苗木按被动性从高到低排列:
- 租赁系统 (A级):你拥有资产(房地产、专利、版权),别人使用它并付钱。你几乎不需要介入运营。收入取决于资产规模和利用率。
- 计算机/软件系统 (A-级):代码或网站7x24小时运行,无需你操作。复制成本趋近于零,边际利润极高。收入取决于用户/流量规模。
- 内容系统 (B+级):信息产品(书、课程、博客)一旦创建,可反复销售。时间投资集中在前期,后期维护成本低。收入取决于受众规模和信任度。
- 分销系统 (B级):你将产品送达消费者的渠道(特许经营、连锁、网络营销、电视购物)。前期需要搭建渠道,后期靠系统运转。收入取决于渠道覆盖面和效率。
- 人力资源系统 (C级):靠管理他人来运营业务。被动性最低,因为人需要管理、培训、激励、监督。收入取决于团队规模和执行力。
关键洞察:五种苗木可以混合。如亚马逊=计算机系统(网站) + 分销系统(物流) + 人力资源系统(员工)。混合时被动性取最低值。
A1 — 书中的应用 (Past Application)
案例:姬莉安的熟食店(反面案例——不是摇钱树)
姬莉安辞去华尔街工作,加盟了一家知名熟食店(特许经营)。她每周工作7天,每天超长时间,两年下来精疲力竭。利润被特许经营费蚕食,根本无力雇人打理。虽然每年赚9万美元利润,但她完全没有自由时间。如果她花6万美元请人管理,自己只剩3万美元无法生存。她的"生意"实际上是伪装的"工作"——不是摇钱树。
案例:德马科的互联网公司(计算机系统+分销系统)
德马科的互联网公司85%是被动收入。电脑24小时工作,不需要他操作。即使在他赌博输钱、躺在床上看《法官朱迪》、在牙买加滑雪时,系统都在赚钱。这是计算机系统和分销系统结合的典范。
案例:机场停车场计划(反面案例——被否决)
德马科研究过在机场附近做停车场的生意。从商业模式看是租赁系统(A级),但运营需要24名员工,实际上变成了人力资源系统(C级)。被动性从A降到C,他因此放弃了这个计划。
案例:莱斯丽·沃尔本的流浪狗庇护所梦想
莱斯丽对动物感兴趣,梦想拥有流浪狗庇护所。她没有直接去做"喜欢的事"(那会违背需求戒律),而是先建立一个与动物无关的快车道业务,用赚来的钱为梦想融资。这是"先建摇钱树,再实现梦想"的典型案例。
A2 — 触发场景 (Future Trigger) ★
典型触发场景:
- 你在考虑创业方向,但不确定哪种模式能产生被动收入
- 你已经在经营一个业务,但发现自己被"绑"在业务上无法脱身
- 你在评估一个加盟机会/代理机会/直销机会
- 你想优化现有业务的被动性,但不知道从何入手
语言信号:
- "这个生意需要我每天亲自……"
- "我不在的时候业务就停了"
- "我要雇人,但怕他们做不好"
- "我想找个不用操心的生意"
与相邻技能区分:
- 与 v15(执行vs点子)的区别:v15告诉你"先执行,不要等完美点子";v23告诉你"选择哪种业务结构来执行"——v15破除行动障碍,v23提供行动方向。
- 与 v16(明智风险)的区别:v16帮你评估"这个风险该不该冒";v23帮你评估"这个业务模式的被动性够不够高"——v16是风险维度,v23是结构维度。
E — 可执行步骤 (Execution)
当技能被激活后,按以下步骤执行:
- 识别你的业务苗木类型:用五种分类评估你正在考虑或正在做的业务属于哪一类。如果是混合型,列出各成分及其占比。
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 · 107 lines · 101 tokens per session scan A 7183018037f5
money-tree-five-seedlings is a skill published in the GitHub repository R2h1/my-book-skills (2 stars, last pushed 26d ago), licensed MIT. It adds 101 tokens to every session and 2,262 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 2026-08-31.
Other skills, from other repositories
en-zh-translation-polish
An English-to-Chinese translation and editing process focused on natural Chinese rather than word-for-word wording.
shortfilm-prompt
Generate cinematic AI shortfilm prompts (works with Seedance 2.0, Xiaoyunque, Sora, Kling, Jimeng, Veo) using the 5-stage structure from Mx-Shell's Zombie Scavenger. Trigger when the user wants transformation sequences, multi-shot narrative shorts, weapon-charge/combat segments, emotional family/pet/farewell…
multi-agent-cn
A Chinese-language system design that makes one main agent assign tasks to five persistent subagents instead of doing the work itself.
gpt-image-2-prompt-engine
A structured prompt-writing tool for GPT-Image-2, using reusable JSON templates and a four-step workflow. It is designed for controlled commercial images such as product photos, posters, infographics, brand visuals, UI screenshots, and character designs.
simp
A relationship-advice skill that helps interpret signals, plan respectful approaches, and write sincere messages for someone you like.
chinese-write-checker
A Chinese-language review process for checking an article from an editor's, reader's, writer's, and publishing platform's viewpoints.