Installable skillMIT

Multi Search Engine v2.0.1

Use when searching across both Chinese and international sources simultaneously (17 engines: 8 CN + 9 Global). Trigger: 'search Baidu and Google', 'Chinese + English sources', cross-region market research, privacy-first search, WolframAlpha knowledge queries. NOT for: single-engine queries (use a...

BY MARUCIEUPDATED Oct 28, 2026
INTENDED FOR✳Claude Code>_Codex◈OpenClaw↗CursorInstall in a listed agent.

instructions.md

---
name: multi-search-engine-c76e874a822f
description: "Use when searching across both Chinese and international sources simultaneously (17 engines: 8 CN + 9 Global). Trigger: 'search Baidu and Google', 'Chinese + English sources', cross-region market research, privacy-first search, WolframAlpha knowledge queries. NOT for: single-engine queries (use ask-search), real-time finance data, or when speed is critical (parallel requests are slower)."
---

## 是什么

把 17 个中外搜索引擎(百度 / 搜狗 / 微信 / Google / Bing / DuckDuckGo / WolframAlpha 等)做成一个"无需 API Key 的并行抓取入口",帮你在跨境市场调研、隐私敏感检索、知识计算这类场景里同时拿到中文 + 国际 + 隐私三类信源的原始结果。

## 怎么用

1. 想清楚检索意图属于哪一类(行业市场 / 政策法规 / 学术 / 隐私敏感 / 数学计算),决定要不要全引擎并行。
2. 用 web_fetch 直接拼搜索 URL,国内信源用百度 + 搜狗微信,国际用 Google + DuckDuckGo + Brave。
3. 善用高级算子:`site:` 限定站内、`filetype:pdf` 找报告、`""` 精确匹配、`tbs=qdr:w` 限定一周内的内容。
4. 隐私敏感场景优先 DuckDuckGo + Startpage + Brave + Qwant;数字 / 单位换算 / 股价直接走 WolframAlpha。
5. 并行结果记得做去重和交叉验证,不同引擎对同一关键词的排序差异本身就是信号。

## 架构图

```mermaid
flowchart LR
  A[检索意图] --> B[引擎分组]
  B --> C[国内 8 引擎]
  B --> D[国际 9 引擎]
  C --> E[结果汇总去重]
  D --> E
  E --> F[交叉验证]
```

# Multi Search Engine v2.0.1

Integration of 17 search engines for web crawling without API keys.

## Search Engines

### Domestic (8)
- **Baidu**: `https://www.baidu.com/s?wd={keyword}`
- **Bing CN**: `https://cn.bing.com/search?q={keyword}&ensearch=0`
- **Bing INT**: `https://cn.bing.com/search?q={keyword}&ensearch=1`
- **360**: `https://www.so.com/s?q={keyword}`
- **Sogou**: `https://sogou.com/web?query={keyword}`
- **WeChat**: `https://wx.sogou.com/weixin?type=2&query={keyword}`
- **Toutiao**: `https://so.toutiao.com/search?keyword={keyword}`
- **Jisilu**: `https://www.jisilu.cn/explore/?keyword={keyword}`

### International (9)
- **Google**: `https://www.google.com/search?q={keyword}`
- **Google HK**: `https://www.google.com.hk/search?q={keyword}`
- **DuckDuckGo**: `https://duckduckgo.com/html/?q={keyword}`
- **Yahoo**: `https://search.yahoo.com/search?p={keyword}`
- **Startpage**: `https://www.startpage.com/sp/search?query={keyword}`
- **Brave**: `https://search.brave.com/search?q={keyword}`
- **Ecosia**: `https://www.ecosia.org/search?q={keyword}`
- **Qwant**: `https://www.qwant.com/?q={keyword}`
- **WolframAlpha**: `https://www.wolframalpha.com/input?i={keyword}`

## Quick Examples

```javascript
// Basic search
web_fetch({"url": "https://www.google.com/search?q=python+tutorial"})

// Site-specific
web_fetch({"url": "https://www.google.com/search?q=site:github.com+react"})

// File type
web_fetch({"url": "https://www.google.com/search?q=machine+learning+filetype:pdf"})

// Time filter (past week)
web_fetch({"url": "https://www.google.com/search?q=ai+news&tbs=qdr:w"})

// Privacy search
web_fetch({"url": "https://duckduckgo.com/html/?q=privacy+tools"})

// DuckDuckGo Bangs
web_fetch({"url": "https://duckduckgo.com/html/?q=!gh+tensorflow"})

// Knowledge calculation
web_fetch({"url": "https://www.wolframalpha.com/input?i=100+USD+to+CNY"})
```

## Advanced Operators

| Operator | Example | Description |
|----------|---------|-------------|
| `site:` | `site:github.com python` | Search within site |
| `filetype:` | `filetype:pdf report` | Specific file type |
| `""` | `"machine learning"` | Exact match |
| `-` | `python -snake` | Exclude term |
| `OR` | `cat OR dog` | Either term |

## Time Filters

| Parameter | Description |
|-----------|-------------|
| `tbs=qdr:h` | Past hour |
| `tbs=qdr:d` | Past day |
| `tbs=qdr:w` | Past week |
| `tbs=qdr:m` | Past month |
| `tbs=qdr:y` | Past year |

## Privacy Engines

- **DuckDuckGo**: No tracking
- **Startpage**: Google results + privacy
- **Brave**: Independent index
- **Qwant**: EU GDPR compliant

## Bangs Shortcuts (DuckDuckGo)

| Bang | Destination |
|------|-------------|
| `!g` | Google |
| `!gh` | GitHub |
| `!so` | Stack Overflow |
| `!w` | Wikipedia |
| `!yt` | YouTube |

## WolframAlpha Queries

- Math: `integrate x^2 dx`
- Conversion: `100 USD to CNY`
- Stocks: `AAPL stock`
- Weather: `weather in Beijing`

## Documentation

- `references/advanced-search.md` - Domestic search guide
- `references/international-search.md` - International search guide
- `CHANGELOG.md` - Version history

## License

MIT
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.