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 godisego/hot-money --skill trap-detectorgit clone --depth 1 https://github.com/godisego/hot-moneyWrote 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/godisego/hot-money/trap-detector)<a href="https://agentmods.dev/skills/godisego/hot-money/trap-detector"><img src="https://agentmods.dev/badge/skills/godisego/hot-money/trap-detector/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/godisego/hot-money/trap-detector"><img src="https://agentmods.dev/badge/skills/godisego/hot-money/trap-detector.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 | $0.00096 | $0.00988 |
| Opus 5 | $0.00048 | $0.00494 |
| Sonnet 5 | $0.00019 | $0.00198 |
| Haiku 4.5 | $0.00010 | $0.00099 |
Grade A, and why
trap-detector 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 10d 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.
This is a copy
100% identical to trap-detector — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Trap Detector · 杀猪盘检测器
触发场景
- 用户输入含关键词：朋友推荐、群里、老师带、内幕、必涨、翻倍、暴涨、稳赚、跟单
- 显式要求：检测一下、是不是杀猪盘、安不安全、被套路了吗
- /scan-trap 命令
8 信号扫描清单
- 大量低质量账号同时推荐 — web search 该股名 + "推荐"，看是否有同质化的低互动账号
- 推荐话术模板化 — 搜 "{name} 即将爆发"、"主力建仓完毕"、"目标翻倍" 等关键词
- 付费社群 / VIP 直播间引流 — 搜 "{name} 微信群"、"{name} 直播间"、"{name} VIP"
- 基本面与热度脱节 — 调用 fetch_financials + fetch_sentiment 对比
- K 线异常配合 — 调用 fetch_kline，看是否在推荐密集期前已大幅拉升
- 老师 / 股神人设推广 — 搜 "{name} 老师"、"{name} 股神"
- 跨平台联动推广 — 搜小红书 / 抖音 / B 站 / 知乎多个平台
- 虚假研报 / 伪造消息 — 搜 "{name} 谣言"、"{name} 辟谣"、"{name} 虚假"
风险评级
| 命中信号数 | 评级 | 建议 |
|---|---|---|
| 0-1 | 🟢 安全 | 数据正常，未发现被异常推广迹象 |
| 2-3 | 🟡 注意 | 有少量推广，建议核实信息源 |
| 4-5 | 🟠 警惕 | 多个推广信号，强烈建议谨慎 |
| 6+ | 🔴 高度可疑 | 强烈建议回避，疑似杀猪盘特征 |
用户关键词加权
如果用户提到下列词，信号严重程度自动 +1 级：
- "朋友推荐我" / "群里有人说" / "老师带我" → +1
- "内幕消息" / "稳赚不赔" → +2
- "必涨" / "翻倍" / "暴涨" → +1
输出格式
{
"ticker": "...",
"trap_score": 1-10, // 反向，越高越安全
"trap_level": "🟢 安全",
"signals_hit": [
{
"id": 3,
"name": "付费社群引流",
"evidence": "搜索发现 5 个公众号同期推送 VIP 群入口",
"severity": "high",
"sources": ["url1", "url2"]
}
],
"user_keyword_boost": 1,
"recommendation": "🟢 未发现明显推广痕迹，可正常分析。但任何投资都需自己判断。",
"warning_phrases": ["..."] // 给用户的明确警告（如有）
}
完成检查
- 8 个信号每个都给出"命中 / 未命中 / 数据不足"
- 至少有 1 条具体证据 URL（除非全部安全）
- recommendation 必须有，不能空
- 如果 ≥ 4 信号，必须用 "强烈建议谨慎" 或 "强烈建议回避" 开头
What ships with it
1 file 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.
- 10d ago First seen · 76 lines · 96 tokens per session scan A 12bc3f92317c
trap-detector is a skill published in the GitHub repository godisego/hot-money (2 stars, last pushed 4mo ago), licensed MIT. It adds 96 tokens to every session and 988 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to trap-detector, differing in 2 lines, and is treated as a copy.
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