What makes Multi Search Engine notable?

149K downloads. Trust evidence available

How should Multi Search Engine be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

agentCLAWHUBUnverified

Multi Search Engine

Multi search engine integration with 16 engines (7 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and Wolfra...

OpenClaw

View on ClawHub

Rank

Safety

Downloads

149k

Updated

Jun 1, 2026

Version

2.1.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 149K downloads reported by the source. Last updated 6/1/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Adoption signal: 149K downloadsadoption · observed Jun 1, 2026
Vendor: Clawhubvendor · observed May 30, 2026
Protocol compatibility: OpenClawcompatibility · observed May 30, 2026
Adoption signal: 148.2K downloadsadoption · observed May 30, 2026
Latest release: 2.1.3release · observed Apr 11, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s178eaap4bvprfw0tc3avqxe6584cegd:multi-search-engine

Install using `clawhub skill install s178eaap4bvprfw0tc3avqxe6584cegd:multi-search-engine` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/gpyangyoujun/multi-search-engine before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-gpyangyoujun-multi-search-engine/snapshot"

Documentation

CLAWHUB

146,405 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "multi-search-engine"
description: "Multi search engine integration with 16 engines (7 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required."
---

# Multi Search Engine

Integration of 16 search engines for web crawling without API keys.

## Workflow

1. **Preparation**: AI Agent initializes an empty in-memory cookie store. Cookies are only acquired dynamically during search operations when access is denied

2. **Language Evaluation**: Detect the language attribute of the search query. If the query is in Chinese, use Domestic search engines (Baidu, Bing CN, Bing INT, 360, Sogou, WeChat, Shenma). If the query is non-Chinese, use International search engines (Google, Google HK, DuckDuckGo, Yahoo, Startpage, Brave, Ecosia, Qwant, WolframAlpha). Select engines based on query relevance and availability.

3. **Controlled Search**: Use web_fetch to execute search requests with rate limiting:
   - Add 1-2 second delay between requests to respect server load
   - Batch requests in groups of 3-4 engines with sequential execution between batches
   - Include standard browser headers to identify as legitimate user agent
   - If access is denied (403/429), fetch engine homepage to obtain fresh session cookies

4. **Cookie Management**: 
   - Cookies are stored ONLY in memory during runtime
   - Cookies are acquired on-demand when search requests fail
   - No cookies are read from or written to config.json or any file
   - Cookies are cleared after search session completes
   - Only session cookies from search engine domains are captured

5. **Retry Mechanism**: If a search fails due to cookie/session issues, retry once with freshly acquired cookies after a 2-second delay

6. **Result Aggregation**: Consolidate successful results from search engines, organize and summarize them to output a core search report

## Search Engines

### Domestic (7)
- **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}`
- **Shenma**: `https://m.sm.cn/s?q={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_fe

_meta.json

{
  "ownerId": "kn79j8kk7fb9w10jh83803j7f180a44m",
  "slug": "multi-search-engine",
  "version": "2.1.3",
  "publishedAt": 1775879953831
}

references/advanced-search.md

# 国内搜索引擎深度搜索指南

## 🔍 百度 (Baidu)

### 特色功能

| 功能 | 说明 | URL |
|------|------|-----|
| **中文优化** | 中文内容索引最全 | `https://www.baidu.com/s?wd={keyword}` |
| **百度学术** | 学术资源搜索 | `https://xueshu.baidu.com/s?wd={keyword}` |
| **百度新闻** | 新闻聚合 | `https://news.baidu.com/` |

### 搜索示例

```javascript
// 1. 基础搜索
web_fetch({"url": "https://www.baidu.com/s?wd=Python教程"})

// 2. 站内搜索
web_fetch({"url": "https://www.baidu.com/s?wd=site:github.com+python"})

// 3. 文件类型搜索
web_fetch({"url": "https://www.baidu.com/s?wd=机器学习+filetype:pdf"})

// 4. 学术搜索
web_fetch({"url": "https://xueshu.baidu.com/s?wd=深度学习+图像识别"})
```

---

## 🔎 必应中国版 (Bing CN/INT)

### 特色功能

| 功能 | 说明 | URL |
|------|------|-----|
| **中文优化** | `ensearch=0` 中文结果 | `https://cn.bing.com/search?q={keyword}&ensearch=0` |
| **国际版** | `ensearch=1` 英文结果 | `https://cn.bing.com/search?q={keyword}&ensearch=1` |
| **学术搜索** | 学术资源 | `https://cn.bing.com/academic/search?q={keyword}` |

### 搜索示例

```javascript
// 1. 中文搜索结果
web_fetch({"url": "https://cn.bing.com/search?q=人工智能技术&ensearch=0"})

// 2. 英文搜索结果（使用中国服务器）
web_fetch({"url": "https://cn.bing.com/search?q=artificial+intelligence&ensearch=1"})

// 3. 学术搜索
web_fetch({"url": "https://cn.bing.com/academic/search?q=机器学习算法"})
```

---

## 🔍 360搜索

### 特色功能

| 功能 | 说明 | URL |
|------|------|-----|
| **安全搜索** | 内置安全防护 | 默认开启 |
| **基础搜索** | 网页搜索 | `https://www.so.com/s?q={keyword}` |

### 搜索示例

```javascript
// 1. 基础搜索
web_fetch({"url": "https://www.so.com/s?q=网络安全"})

// 2. 站内搜索
web_fetch({"url": "https://www.so.com/s?q=site:zhihu.com+python"})
```

---

## 🔍 搜狗 (Sogou) + 微信搜索

### 特色功能

| 功能 | 说明 | URL |
|------|------|-----|
| **网页搜索** | 通用搜索 | `https://sogou.com/web?query={keyword}` |
| **微信公众号** | 搜公众号文章（唯一渠道） | `https://wx.sogou.com/weixin?type=2&query={keyword}` |
| **知乎优化** | 知乎内容索引好 | `site:zhihu.com` 配合使用 |

### 搜索示例

```javascript
// 1. 网页搜索
web_fetch({"url": "https://sogou.com/web?query=python教程"})

// 2. 微信公众号文章搜索
web_fetch({"url": "https://wx.sogou.com/weixin?type=2&query=Python编程"})

// 3. 搜索特定公众号
web_fetch({"url": "https://wx.sogou.com/weixin?type=2&query=公众号:机器之心"})

// 4. 知乎内容搜索
web_fetch({"url": "https://www.sogou.com/web?query=site:zhihu.com+机器学习"})
```

---

## 📱 神马搜索 (Shenma)

### 特色功能

| 功能 | 说明 | URL |
|------|------|-----|
| **移动优化** | 专注移动端搜索 | `https://m.sm.cn/s?q={keyword}` |
| **阿里生态** | 整合阿里系内容 | UC浏览器默认搜索 |

### 搜索示例

```javascript
// 1. 移动端搜索
web_fetch({"url": "https://m.sm.cn/s?q=python入门教程"})

// 2. 移动网站点搜索
web_fetch({"url": "https://m.sm.cn/s?q=site:zhuanlan.zhihu.com+AI"})
```

---

## 🌍 国内搜索策略

### 按搜索目标选择引擎

| 搜索目标 | 首选引擎 | 原因 |
|---------|---------|------|
| **综合中文内容** | 百度 | 中文索引最全 |
| **微信公众号** | 搜狗微信 | 唯一支持公众号搜索 |
| **知乎内容** | 搜狗 | 知乎优化好 |
| **移动端内容** | 神马 | 移动端优化 |
| **学术资源** | 必应学术 | 学术索引 |
| **中英文双语** | 必应中国/国际版 | enswitch切换 |
| **新闻资讯** | 百度新闻 | 新闻聚合 |

---

## 📚 参考资料

- [百度搜索高级语法](https://baike.baidu.com/item/搜索语法)
- [必应搜索技巧](https://cn.bing.com/tips)
- [搜狗搜索帮助](https://help.sogou.com/)

references/international-search.md

# 国际搜索引擎深度搜索指南

## 🔍 Google 深度搜索

### 1.1 基础高级搜索操作符

| 操作符 | 功能 | 示例 | URL |
|--------|------|------|-----|
| `""` | 精确匹配 | `"machine learning"` | `https://www.google.com/search?q=%22machine+learning%22` |
| `-` | 排除关键词 | `python -snake` | `https://www.google.com/search?q=python+-snake` |
| `OR` | 或运算 | `machine learning OR deep learning` | `https://www.google.com/search?q=machine+learning+OR+deep+learning` |
| `*` | 通配符 | `machine * algorithms` | `https://www.google.com/search?q=machine+*+algorithms` |
| `()` | 分组 | `(apple OR microsoft) phones` | `https://www.google.com/search?q=(apple+OR+microsoft)+phones` |
| `..` | 数字范围 | `laptop $500..$1000` | `https://www.google.com/search?q=laptop+%24500..%241000` |

### 1.2 站点与文件搜索

| 操作符 | 功能 | 示例 |
|--------|------|------|
| `site:` | 站内搜索 | `site:github.com python projects` |
| `filetype:` | 文件类型 | `filetype:pdf annual report` |
| `inurl:` | URL包含 | `inurl:login admin` |
| `intitle:` | 标题包含 | `intitle:"index of" mp3` |
| `intext:` | 正文包含 | `intext:password filetype:txt` |
| `cache:` | 查看缓存 | `cache:example.com` |
| `related:` | 相关网站 | `related:github.com` |
| `info:` | 网站信息 | `info:example.com` |

### 1.3 时间筛选参数

| 参数 | 含义 | URL示例 |
|------|------|---------|
| `tbs=qdr:h` | 过去1小时 | `https://www.google.com/search?q=news&tbs=qdr:h` |
| `tbs=qdr:d` | 过去24小时 | `https://www.google.com/search?q=news&tbs=qdr:d` |
| `tbs=qdr:w` | 过去1周 | `https://www.google.com/search?q=news&tbs=qdr:w` |
| `tbs=qdr:m` | 过去1月 | `https://www.google.com/search?q=news&tbs=qdr:m` |
| `tbs=qdr:y` | 过去1年 | `https://www.google.com/search?q=news&tbs=qdr:y` |
| `tbs=cdr:1,cd_min:1/1/2024,cd_max:12/31/2024` | 自定义日期范围 | 2024年全年 |

### 1.4 语言和地区筛选

| 参数 | 功能 | 示例 |
|------|------|------|
| `hl=en` | 界面语言 | `https://www.google.com/search?q=test&hl=en` |
| `lr=lang_zh-CN` | 搜索结果语言 | `https://www.google.com/search?q=test&lr=lang_zh-CN` |
| `cr=countryCN` | 国家/地区 | `https://www.google.com/search?q=test&cr=countryCN` |
| `gl=us` | 地理位置 | `https://www.google.com/search?q=test&gl=us` |

### 1.5 特殊搜索类型

| 类型 | URL | 说明 |
|------|-----|------|
| 图片搜索 | `https://www.google.com/search?q={keyword}&tbm=isch` | `tbm=isch` 表示图片 |
| 新闻搜索 | `https://www.google.com/search?q={keyword}&tbm=nws` | `tbm=nws` 表示新闻 |
| 视频搜索 | `https://www.google.com/search?q={keyword}&tbm=vid` | `tbm=vid` 表示视频 |
| 地图搜索 | `https://www.google.com/search?q={keyword}&tbm=map` | `tbm=map` 表示地图 |
| 购物搜索 | `https://www.google.com/search?q={keyword}&tbm=shop` | `tbm=shop` 表示购物 |
| 图书搜索 | `https://www.google.com/search?q={keyword}&tbm=bks` | `tbm=bks` 表示图书 |
| 学术搜索 | `https://scholar.google.com/scholar?q={keyword}` | Google Scholar |

### 1.6 Google 深度搜索示例

```javascript
// 1. 搜索GitHub上的Python机器学习项目
web_fetch({"url": "https://www.google.com/search?q=site:github.com+python+machine+learning"})

// 2. 搜索2024年的PDF格式机器学习教程
web_fetch({"url": "https://www.google.com/search?q=machine+learning+tutorial+filetype:pdf&tbs=cdr:1,cd_min:1/1/2024"})

// 3. 搜索标题包含"tutorial"的Python相关页面
web_fetch({"url":

CHANGELOG.md

# Changelog

## v2.1.0 (2026-04-11)
- Version bump to 2.1.0

## v2.0.1 (2026-02-06)
- Simplified documentation
- Removed gov-related content
- Optimized for ClawHub publishing

## v2.0.0 (2026-02-06)
- Added 9 international search engines
- Enhanced advanced search capabilities
- Added DuckDuckGo Bangs support
- Added WolframAlpha knowledge queries

## v1.0.0 (2026-02-04)
- Initial release with 8 domestic search engines

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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  "events": [
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Record generated Oct 9, 2026.

About

Avoid when

Public facts

Install and run

Documentation

Extracted files

SKILL.md

_meta.json

references/advanced-search.md

references/international-search.md

CHANGELOG.md

Related agents

@x1pay/langchain

@langchain/langgraph-swarm

@langchain/langgraph-supervisor

oceanbus-langchain

Machine-readable data