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 v10git 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/v10)<a href="https://agentmods.dev/skills/r2h1/my-book-skills/v10"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v10/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/v10"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v10.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 | $0.00034 | $0.00770 |
| Opus 5 | $0.00017 | $0.00385 |
| Sonnet 5 | $0.00007 | $0.00154 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
v10-基金投资入门 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.
What it actually says
基金投资入门
R（核心引文）
"基金就像一口大锅，许多投资人把钱投进去。因为这些人没有时间，没有相关的知识或者没有兴趣去亲自买股票。这口锅里的钱交给金融界的专家，也就是所谓的基金经理人，去投资买股票。"
"如果我们打算投资买基金，就要准备把自己的钱在里面放上 5 到 10 年。对于那些能等这么长时间的人来说，基金几乎是一种零风险的投资。"
"挑选基金时的注意事项：1. 基金应该至少有十年历史。2. 应该选择大型的跨国股票基金。3. 对基金的走势图进行比较。"
I（底层原理）
基金通过分散投资（至少20种股票）降低了单只股票风险。基金经理的专业管理让普通人无需深入研究个股。长期持有（5-10年）是基金盈利的关键——短期波动会被时间熨平，市场总体趋势向上。
A1（过去应用）
金钱魔法师们选择了一个专门针对儿童的基金（投资可口可乐、玩具翻斗城、迪斯尼、麦当劳等），该基金过去10年年均收益15.42%。她们用2万马克买入，后来下跌时没有恐慌卖出，最终获得丰厚回报。
A2（未来触发场景）
- 你有一笔3年以上不用的闲钱想投资时
- 你不想花时间研究个股但想参与股市增长时
- 你想为孩子准备教育金或自己的养老金时
- 你被推荐某只基金需要评估时
E（执行步骤）
- 确认这笔钱5-10年内不需要动用
- 选择有10年以上历史的大型跨国股票基金
- 比较过去5-10年的走势图和年化收益率
- 通过正规基金公司或银行开户
- 定投或一次性投入后，不要频繁查看涨跌
- 坚持持有，只在重大人生目标实现时考虑赎回
B（边界与局限）
基金不是保本产品，短期（1-2年）可能出现亏损。基金经理的能力参差不齐，选错基金可能跑输市场。基金有管理费，费率差异会影响长期收益。基金适合做长期配置，不适合短期投机。
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.
- 11d ago First seen · 55 lines · 34 tokens per session scan A 67a9e4ac082e
v10-基金投资入门 is a skill published in the GitHub repository R2h1/my-book-skills (2 stars, last pushed 26d ago), licensed MIT. It adds 34 tokens to every session and 770 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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