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 v07-50-40-10git 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/v07-50-40-10)<a href="https://agentmods.dev/skills/r2h1/my-book-skills/v07-50-40-10"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v07-50-40-10/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/v07-50-40-10"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v07-50-40-10.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 | $0.00051 | $0.00759 |
| Opus 5 | $0.00026 | $0.00380 |
| Sonnet 5 | $0.00010 | $0.00152 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade A, and why
v07-收入分配法（50-40-10） 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 12d 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.
What it actually says
收入分配法（50/40/10）
R（核心引文）
"如果你总是把十分之一的钱变成鹅，那么你一定会变得富有。但如果你想有一天真的很有钱的话，你存的比例可能得再高一些。我养成了一个习惯，总是把我收入的二分之一变成我的鹅。"
"我已经想好怎么分配我的钱了，我也要把二分之一的收入变成我的鹅。40% 放入我的梦想储蓄罐，剩下的 10％用来花。"
I（底层原理）
强制分配比随意管理更有效。人的意志力是有限资源，每次消费都需要决策会消耗大量意志力。固定比例分配法将决策自动化：50%养鹅保障未来，40%梦想激励当下，10%零花满足即时需求。这个结构兼顾了长期、中期和短期目标。
A1（过去应用）
吉娅从金先生那里学到这个方法后严格执行。即使只有74马克，她也按50%（37马克）存鹅、40%（29.6马克）放入梦想罐、10%（7.4马克）零花。随着收入增长到每月1080马克，她仍坚持同一比例，鹅迅速长大。
A2（未来触发场景）
- 每月发工资时（先分配再消费）
- 收到任何额外收入时（奖金、红包、副业收入）
- 觉得"钱不够花"但又不知道钱去哪了时
- 想开始储蓄但不知道怎么分配时
E（执行步骤）
- 发工资/收入到账时立即执行分配（先分配再消费）
- 50%转入鹅账户（储蓄/投资账户，绝对不动）
- 40%转入梦想账户（可设多个子目标）
- 10%留作零花钱（可以毫无愧疚地花掉）
- 比例可调整但必须坚持储蓄：最低10%起，建议50%
B（边界与局限）
极端情况下（如收入过低无法覆盖基本生活），50%储蓄率可能不现实。此时先以10%起步，把重点放在提高收入上。分配法针对可支配收入而非总收入——如果收入连基本吃住都不够，先解决生存再谈分配。
相关技能
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.
- 12d ago First seen · 51 lines · 51 tokens per session scan A 1878544a3e6c
v07-收入分配法（50-40-10） is a skill published in the GitHub repository R2h1/my-book-skills (2 stars, last pushed 27d ago), licensed MIT. It adds 51 tokens to every session and 759 once invoked, about $0.0003 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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