Trap Detector

CommunityPopular

wbh604

trap-detector

杀猪盘检测器。当用户提到"朋友推荐"、"群里说"、"老师带"、"内幕消息"、"小红书 / 抖音看到推荐"等关键词，或显式要求"看看是不是杀猪盘 / 检测一下风险 / 这只票安全吗"时使用。扫描 8 个信号给出风险评级 🟢🟡🟠🔴。

Overview

Publisher	wbh604
Repository	`UZI-Skill`
Skill name	`trap-detector`
Stars	6.9K
Forks	971
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by wbh604 on GitHub. Read the source before you install it.

Installation

Install the Trap Detector AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/wbh604/UZI-Skill.git /tmp/UZI-Skill
mkdir -p .claude/skills
cp -r /tmp/UZI-Skill/skills/trap-detector .claude/skills/trap-detector

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trap Detector in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Trap Detector on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Trap Detector is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

json
{
  "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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/eight-signals.md2 KB

Frequently asked questions

What does the Trap Detector AI skill do?

Why use Trap Detector on TypingMind?

Because you install it once and use it with any model. Trap Detector is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Trap Detector in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wbh604/UZI-Skill/tree/main/skills/trap-detector. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Trap Detector?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Trap Detector?

As many as you like. As long as a model supports skills, you can use Trap Detector with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Trap Detector AI skill free?

Yes. It is published on GitHub by wbh604 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Trap Detector · 杀猪盘检测器

触发场景

8 信号扫描清单

风险评级

用户关键词加权

输出格式

完成检查

Bundled files

Frequently asked questions

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