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 v09-72git 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/v09-72)<a href="https://agentmods.dev/skills/r2h1/my-book-skills/v09-72"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v09-72/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/v09-72"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v09-72.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 | $0.00044 | $0.00765 |
| Opus 5 | $0.00022 | $0.00382 |
| Sonnet 5 | $0.00009 | $0.00153 |
| Haiku 4.5 | $0.00004 | $0.00076 |
Grade A, and why
v09-72公式（复利速算） 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
72公式（复利速算）
R（核心引文）
"你们直接用 72 除以你们投资的年收益率的百分比，得出的数字就是这笔钱翻一倍所要的年数。" "72 除以 12 是多少？6！对！这就是说，如果你们每年得到 12%的红利，6 年以后你们的钱就会翻一倍。" "72 除以 15 等于 4.8 年。简单地说，如果你们投资的收益率是15%，五年以后，钱就会翻一倍。"
I（底层原理）
复利是"世界第八大奇迹"。72公式是估算复利效果的快捷方式，精确度在利率8-15%区间内相当可靠。复利的力量在于时间：同样一笔钱，时间越长倍数增长越惊人。72公式还适用于估算通货膨胀的影响：72÷通胀率=货币贬值一半的年数。
A1（过去应用）
金钱魔法师们计算出2万马克在12%收益下20年后变成约20万马克（接近10倍）。每月再加1000马克储蓄，20年后超过87万马克。吉娅后来用72公式算通胀：3%通胀率下，24年后钱贬值一半。
A2（未来触发场景）
- 比较不同投资产品的收益率时
- 计算某个投资多久能翻倍时
- 评估通货膨胀对自己存款的影响时
- 给孩子讲解复利的力量时
E（执行步骤）
- 确定年化收益率（如12%），72÷12=6年翻倍
- 计算目标金额所需时间：翻倍次数×单次年数
- 反推所需收益率：72÷期望翻倍年数=所需收益率
- 计算通胀影响：72÷通胀率=贬值一半的年数
- 用这个公式快速评估任何投资方案的长期效果
B（边界与局限）
72公式是估算而非精确计算。高收益率（>20%）时误差变大。公式假设收益再投资（复利），如果每年提取收益则无效。实际投资收益率不确定，历史表现不代表未来。
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 · 44 tokens per session scan A a44a397c7386
v09-72公式（复利速算） is a skill published in the GitHub repository R2h1/my-book-skills (2 stars, last pushed 27d ago), licensed MIT. It adds 44 tokens to every session and 765 once invoked, about $0.0002 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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