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 v22git 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/v22)<a href="https://agentmods.dev/skills/r2h1/my-book-skills/v22"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v22/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/v22"><img src="https://agentmods.dev/badge/skills/r2h1/my-book-skills/v22.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 | $0.00105 | $0.01425 |
| Opus 5 | $0.00053 | $0.00713 |
| Sonnet 5 | $0.00021 | $0.00285 |
| Haiku 4.5 | $0.00011 | $0.00143 |
Grade A, and why
v22-免遭诈骗 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
免遭诈骗：不贪，不碰不熟悉的领域
R — 原文 (Reading)
我遭到诈骗最具决定性的原因就是我的无知和贪婪。……不贪婪，不让自己参与到不熟悉的领域中去，就能够避免自己上当受骗。远离所有能够获得巨大收益的提议，只在自己熟悉的领域之内进行投资。
— 金胜镐, 《免遭诈骗的方法》
I — 方法论骨架 (Interpretation)
诈骗的根源是受害者自己的"无知 + 贪婪"，而非骗子的高明。由此建立两道防骗过滤：
- 拒绝"收益过高"的提议：预期收益过高 = 风险过高。任何"稳赚/翻倍/只赚不亏"都同时命中"收益过高"，一律拒绝。
- 拒绝"看不懂模式"的提议：无法理解的生意模式，出问题时无法控制。作者拒绝提议的理由就两种：收益过高，或看不懂模式。
- 只在自己熟悉的领域投资：这是避免几乎所有诈骗的方法。
- 别因"被当傻瓜"而动摇：拒绝高收益提议常被嘲笑"你傻啊"——但作者宁被当傻瓜也不碰；"就算有风险的事情也要挑战"指的是事业，不是骗局。
作者用"割韭菜邮件实验"说明：给1万人各发"明天涨/跌"，连续5轮后剩下312人把他当股神——所谓的"预测高手"很多只是这种幸存者把戏。
A1 — 书中的应用
- 作者年轻时被同一人连环诈骗四次：eMachines上市特权（股票成废纸）、实时股票排行交易公司、期权交易、外汇期货——移民10年的积蓄全部耗尽并负债。"是我是无知加贪婪造成了这样的结局"。
- 作者总结：从那之后他几乎不再被骗——"不贪婪、不碰不熟领域、拒绝过高收益"。
- 作者列出"拒绝的理由大致有两种：收益过高或者我无法理解生意模式"，并说"如果我拒绝还会被当作是傻瓜，但我无所谓"。
A2 — 触发场景 ★
场景：有人给你"稳赚/高收益/内幕/保本"的投资机会时；你被"高回报项目"吸引时；你反思自己或被身边人被骗的经历时；你想建立一套自动的防骗反应时。
语言信号：
- "这个项目稳赚不赔，你要不要投"
- "我有内幕消息，只赚不亏"
- "错过了这个村就没这个店了"
- "收益这么高，是不是真的？"
相邻区分：与"独立判断"（v17）配合——不轻信是防骗第一闸；与"消费观漂亮垃圾与不贪"（v20）配合——"远离暴利/不贪"是防骗的心理根源；与"价值投资"（v14）配合——能看懂价值、懂财报的人更不容易被"高收益"骗。
E — 执行步骤
-
启动双过滤：面对任何投资/生意提议，跑两道过滤：①预期收益是否过高（>正常水平数倍/"稳赚"）？②我是否真的懂这个模式？任一命中 → 拒绝。
-
自查"无知+贪婪"：问自己：我是不是因为"想快点赚大钱"（贪）或"其实不懂"（无知）才心动？若心动源于这两点，就是被骗的前兆。
-
拖延+核实：对任何"必须马上决定"的提议，一律拖72小时再说；用 v18/v17 的方法独立核实，不通过熟人/推荐人核实（他们可能是链条）。
-
只投懂的+设上限：只在自己熟悉的领域投资（v13/v14）；即使如此，也要用闲钱（v10）并设一个"最多亏损得起"的上限。
B — 边界 ★
- 本 skill 是防骗心理/纪律框架，不能替代法律手段：已经受骗请立即报警/联系金融机构。
- "拒绝高收益"不等于拒绝所有好机会：真实的高回报投资存在（v14），关键是"看得懂 + 有价值依据 + 可承受"。
- 不要因为本 skill 而对所有提议都疑神疑鬼（那会滑向"什么都不信"）；它是"默认怀疑、证据说话"。
- 作者"只投熟悉领域"偏保守，可能错过新领域（AI等）红利；对想尝试新领域的人，应"先学习到看得懂再投"，而非永远回避。
审计信息
V1 ✓ / V2 ✓ / V3 ✓
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 68 lines · 105 tokens per session scan A 82a88baad529
v22-免遭诈骗 is a skill published in the GitHub repository R2h1/my-book-skills (2 stars, last pushed 26d ago), licensed MIT. It adds 105 tokens to every session and 1,425 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.
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