UZI-Skill is a collection of coding-agent skills for analyzing individual stocks across Chinese, Hong Kong, and United States markets using public data, investor viewpoints, quantitative rules, and institutional analysis methods. It is for users who want an agent to produce detailed stock-analysis reports. The catalogue entries are the commands, skills, instructions, plugin, agent, and hook that provide this workflow in supported coding agents.
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 wbh604/UZI-Skill --skill trap-detectorgit clone --depth 1 https://github.com/wbh604/UZI-SkillWrote 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/wbh604/uzi-skill/trap-detector)<a href="https://agentmods.dev/skills/wbh604/uzi-skill/trap-detector"><img src="https://agentmods.dev/badge/skills/wbh604/uzi-skill/trap-detector.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- trap-detector — 100% identical, 2 lines differ
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.
- 9d ago First seen · 76 lines · 96 tokens per session scan A c1063dc602b8
trap-detector is a skill published in the GitHub repository wbh604/UZI-Skill (6,804 stars, last pushed 3d 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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