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Supports advanced search operators, time filters, site search, privacy engines, and Wolfra...\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-04-17T10:50:51.714Z | auto\n\n- Integrates 17 search engines (8 Chinese, 9 international) with advanced operator and time filter support.\n- Enables site-specific, file type, and privacy-focused searches directly—no API keys required.\n- Supports DuckDuckGo bangs and WolframAlpha knowledge queries.\n- Provides quick usage examples and documentation links for advanced searching.\n- Highlights privacy-centric engine options and relevant search shortcuts.\n\nArchive index:\n\nArchive v1.0.0: 8 files, 11856 bytes\n\nFiles: _meta.json (141b), CHANGELOG.md (391b), CHANNELLOG.md (1132b), config.json (1701b), metadata.json (239b), references/international-search.md (23161b), skill-card.md (1825b), SKILL.md (3482b)\n\nFile v1.0.0:SKILL.md\n\n---\r\nname: \"multi-search-engine\"\r\ndescription: \"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.\"\r\n---\r\n\r\n# Multi Search Engine v2.0.1\r\n\r\nIntegration of 17 search engines for web crawling without API keys.\r\n\r\n## Search Engines\r\n\r\n### Domestic (8)\r\n- **Baidu**: `https://www.baidu.com/s?wd={keyword}`\r\n- **Bing CN**: `https://cn.bing.com/search?q={keyword}&ensearch=0`\r\n- **Bing INT**: `https://cn.bing.com/search?q={keyword}&ensearch=1`\r\n- **360**: `https://www.so.com/s?q={keyword}`\r\n- **Sogou**: `https://sogou.com/web?query={keyword}`\r\n- **WeChat**: `https://wx.sogou.com/weixin?type=2&query={keyword}`\r\n- **Toutiao**: `https://so.toutiao.com/search?keyword={keyword}`\r\n- **Jisilu**: `https://www.jisilu.cn/explore/?keyword={keyword}`\r\n\r\n### International (9)\r\n- **Google**: `https://www.google.com/search?q={keyword}`\r\n- **Google HK**: `https://www.google.com.hk/search?q={keyword}`\r\n- **DuckDuckGo**: `https://duckduckgo.com/html/?q={keyword}`\r\n- **Yahoo**: `https://search.yahoo.com/search?p={keyword}`\r\n- **Startpage**: `https://www.startpage.com/sp/search?query={keyword}`\r\n- **Brave**: `https://search.brave.com/search?q={keyword}`\r\n- **Ecosia**: `https://www.ecosia.org/search?q={keyword}`\r\n- **Qwant**: `https://www.qwant.com/?q={keyword}`\r\n- **WolframAlpha**: `https://www.wolframalpha.com/input?i={keyword}`\r\n\r\n## Quick Examples\r\n\r\n```javascript\r\n// Basic search\r\nweb_fetch({\"url\": \"https://www.google.com/search?q=python+tutorial\"})\r\n\r\n// Site-specific\r\nweb_fetch({\"url\": \"https://www.google.com/search?q=site:github.com+react\"})\r\n\r\n// File type\r\nweb_fetch({\"url\": \"https://www.google.com/search?q=machine+learning+filetype:pdf\"})\r\n\r\n// Time filter (past week)\r\nweb_fetch({\"url\": \"https://www.google.com/search?q=ai+news&tbs=qdr:w\"})\r\n\r\n// Privacy search\r\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=privacy+tools\"})\r\n\r\n// DuckDuckGo Bangs\r\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!gh+tensorflow\"})\r\n\r\n// Knowledge calculation\r\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=100+USD+to+CNY\"})\r\n```\r\n\r\n## Advanced Operators\r\n\r\n| Operator | Example | Description |\r\n|----------|---------|-------------|\r\n| `site:` | `site:github.com python` | Search within site |\r\n| `filetype:` | `filetype:pdf report` | Specific file type |\r\n| `\"\"` | `\"machine learning\"` | Exact match |\r\n| `-` | `python -snake` | Exclude term |\r\n| `OR` | `cat OR dog` | Either term |\r\n\r\n## Time Filters\r\n\r\n| Parameter | Description |\r\n|-----------|-------------|\r\n| `tbs=qdr:h` | Past hour |\r\n| `tbs=qdr:d` | Past day |\r\n| `tbs=qdr:w` | Past week |\r\n| `tbs=qdr:m` | Past month |\r\n| `tbs=qdr:y` | Past year |\r\n\r\n## Privacy Engines\r\n\r\n- **DuckDuckGo**: No tracking\r\n- **Startpage**: Google results + privacy\r\n- **Brave**: Independent index\r\n- **Qwant**: EU GDPR compliant\r\n\r\n## Bangs Shortcuts (DuckDuckGo)\r\n\r\n| Bang | Destination |\r\n|------|-------------|\r\n| `!g` | Google |\r\n| `!gh` | GitHub |\r\n| `!so` | Stack Overflow |\r\n| `!w` | Wikipedia |\r\n| `!yt` | YouTube |\r\n\r\n## WolframAlpha Queries\r\n\r\n- Math: `integrate x^2 dx`\r\n- Conversion: `100 USD to CNY`\r\n- Stocks: `AAPL stock`\r\n- Weather: `weather in Beijing`\r\n\r\n## Documentation\r\n\r\n- `references/advanced-search.md` - Domestic search guide\r\n- `references/international-search.md` - International search guide\r\n- `CHANGELOG.md` - Version history\r\n\r\n## License\r\n\r\nMIT\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7024ea9mpn20nvh221shx04h8434xe\",\n  \"slug\": \"multi-search-engine-cn\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776423051714\n}\n\nFile v1.0.0:references/international-search.md\n\n# 国际搜索引擎深度搜索指南\n\n## 🔍 Google 深度搜索\n\n### 1.1 基础高级搜索操作符\n\n| 操作符 | 功能 | 示例 | URL |\n|--------|------|------|-----|\n| `\"\"` | 精确匹配 | `\"machine learning\"` | `https://www.google.com/search?q=%22machine+learning%22` |\n| `-` | 排除关键词 | `python -snake` | `https://www.google.com/search?q=python+-snake` |\n| `OR` | 或运算 | `machine learning OR deep learning` | `https://www.google.com/search?q=machine+learning+OR+deep+learning` |\n| `*` | 通配符 | `machine * algorithms` | `https://www.google.com/search?q=machine+*+algorithms` |\n| `()` | 分组 | `(apple OR microsoft) phones` | `https://www.google.com/search?q=(apple+OR+microsoft)+phones` |\n| `..` | 数字范围 | `laptop $500..$1000` | `https://www.google.com/search?q=laptop+%24500..%241000` |\n\n### 1.2 站点与文件搜索\n\n| 操作符 | 功能 | 示例 |\n|--------|------|------|\n| `site:` | 站内搜索 | `site:github.com python projects` |\n| `filetype:` | 文件类型 | `filetype:pdf annual report` |\n| `inurl:` | URL包含 | `inurl:login admin` |\n| `intitle:` | 标题包含 | `intitle:\"index of\" mp3` |\n| `intext:` | 正文包含 | `intext:password filetype:txt` |\n| `cache:` | 查看缓存 | `cache:example.com` |\n| `related:` | 相关网站 | `related:github.com` |\n| `info:` | 网站信息 | `info:example.com` |\n\n### 1.3 时间筛选参数\n\n| 参数 | 含义 | URL示例 |\n|------|------|---------|\n| `tbs=qdr:h` | 过去1小时 | `https://www.google.com/search?q=news&tbs=qdr:h` |\n| `tbs=qdr:d` | 过去24小时 | `https://www.google.com/search?q=news&tbs=qdr:d` |\n| `tbs=qdr:w` | 过去1周 | `https://www.google.com/search?q=news&tbs=qdr:w` |\n| `tbs=qdr:m` | 过去1月 | `https://www.google.com/search?q=news&tbs=qdr:m` |\n| `tbs=qdr:y` | 过去1年 | `https://www.google.com/search?q=news&tbs=qdr:y` |\n| `tbs=cdr:1,cd_min:1/1/2024,cd_max:12/31/2024` | 自定义日期范围 | 2024年全年 |\n\n### 1.4 语言和地区筛选\n\n| 参数 | 功能 | 示例 |\n|------|------|------|\n| `hl=en` | 界面语言 | `https://www.google.com/search?q=test&hl=en` |\n| `lr=lang_zh-CN` | 搜索结果语言 | `https://www.google.com/search?q=test&lr=lang_zh-CN` |\n| `cr=countryCN` | 国家/地区 | `https://www.google.com/search?q=test&cr=countryCN` |\n| `gl=us` | 地理位置 | `https://www.google.com/search?q=test&gl=us` |\n\n### 1.5 特殊搜索类型\n\n| 类型 | URL | 说明 |\n|------|-----|------|\n| 图片搜索 | `https://www.google.com/search?q={keyword}&tbm=isch` | `tbm=isch` 表示图片 |\n| 新闻搜索 | `https://www.google.com/search?q={keyword}&tbm=nws` | `tbm=nws` 表示新闻 |\n| 视频搜索 | `https://www.google.com/search?q={keyword}&tbm=vid` | `tbm=vid` 表示视频 |\n| 地图搜索 | `https://www.google.com/search?q={keyword}&tbm=map` | `tbm=map` 表示地图 |\n| 购物搜索 | `https://www.google.com/search?q={keyword}&tbm=shop` | `tbm=shop` 表示购物 |\n| 图书搜索 | `https://www.google.com/search?q={keyword}&tbm=bks` | `tbm=bks` 表示图书 |\n| 学术搜索 | `https://scholar.google.com/scholar?q={keyword}` | Google Scholar |\n\n### 1.6 Google 深度搜索示例\n\n```javascript\n// 1. 搜索GitHub上的Python机器学习项目\nweb_fetch({\"url\": \"https://www.google.com/search?q=site:github.com+python+machine+learning\"})\n\n// 2. 搜索2024年的PDF格式机器学习教程\nweb_fetch({\"url\": \"https://www.google.com/search?q=machine+learning+tutorial+filetype:pdf&tbs=cdr:1,cd_min:1/1/2024\"})\n\n// 3. 搜索标题包含\"tutorial\"的Python相关页面\nweb_fetch({\"url\": \"https://www.google.com/search?q=intitle:tutorial+python\"})\n\n// 4. 搜索过去一周的新闻\nweb_fetch({\"url\": \"https://www.google.com/search?q=AI+breakthrough&tbs=qdr:w&tbm=nws\"})\n\n// 5. 搜索中文内容（界面英文，结果中文）\nweb_fetch({\"url\": \"https://www.google.com/search?q=人工智能&lr=lang_zh-CN&hl=en\"})\n\n// 6. 搜索特定价格范围的笔记本电脑\nweb_fetch({\"url\": \"https://www.google.com/search?q=laptop+%241000..%242000+best+rating\"})\n\n// 7. 搜索排除Wikipedia的结果\nweb_fetch({\"url\": \"https://www.google.com/search?q=python+programming+-wikipedia\"})\n\n// 8. 搜索学术文献\nweb_fetch({\"url\": \"https://scholar.google.com/scholar?q=deep+learning+optimization\"})\n\n// 9. 搜索缓存页面（查看已删除内容）\nweb_fetch({\"url\": \"https://webcache.googleusercontent.com/search?q=cache:example.com\"})\n\n// 10. 搜索相关网站\nweb_fetch({\"url\": \"https://www.google.com/search?q=related:stackoverflow.com\"})\n```\n\n---\n\n## 🦆 DuckDuckGo 深度搜索\n\n### 2.1 DuckDuckGo 特色功能\n\n| 功能 | 语法 | 示例 |\n|------|------|------|\n| **Bangs 快捷** | `!缩写` | `!g python` → Google搜索 |\n| **密码生成** | `password` | `https://duckduckgo.com/?q=password+20` |\n| **颜色转换** | `color` | `https://duckduckgo.com/?q=+%23FF5733` |\n| **短链接** | `shorten` | `https://duckduckgo.com/?q=shorten+example.com` |\n| **二维码生成** | `qr` | `https://duckduckgo.com/?q=qr+hello+world` |\n| **生成UUID** | `uuid` | `https://duckduckgo.com/?q=uuid` |\n| **Base64编解码** | `base64` | `https://duckduckgo.com/?q=base64+hello` |\n\n### 2.2 DuckDuckGo Bangs 完整列表\n\n#### 搜索引擎\n\n| Bang | 跳转目标 | 示例 |\n|------|---------|------|\n| `!g` | Google | `!g python tutorial` |\n| `!b` | Bing | `!b weather` |\n| `!y` | Yahoo | `!y finance` |\n| `!sp` | Startpage | `!sp privacy` |\n| `!brave` | Brave Search | `!brave tech` |\n\n#### 编程开发\n\n| Bang | 跳转目标 | 示例 |\n|------|---------|------|\n| `!gh` | GitHub | `!gh tensorflow` |\n| `!so` | Stack Overflow | `!so javascript error` |\n| `!npm` | npmjs.com | `!npm express` |\n| `!pypi` | PyPI | `!pypi requests` |\n| `!mdn` | MDN Web Docs | `!mdn fetch api` |\n| `!docs` | DevDocs | `!docs python` |\n| `!docker` | Docker Hub | `!docker nginx` |\n\n#### 知识百科\n\n| Bang | 跳转目标 | 示例 |\n|------|---------|------|\n| `!w` | Wikipedia | `!w machine learning` |\n| `!wen` | Wikipedia英文 | `!wen artificial intelligence` |\n| `!wt` | Wiktionary | `!wt serendipity` |\n| `!imdb` | IMDb | `!imdb inception` |\n\n#### 购物价格\n\n| Bang | 跳转目标 | 示例 |\n|------|---------|------|\n| `!a` | Amazon | `!a wireless headphones` |\n| `!e` | eBay | `!e vintage watch` |\n| `!ali` | AliExpress | `!ali phone case` |\n\n#### 地图位置\n\n| Bang | 跳转目标 | 示例 |\n|------|---------|------|\n| `!m` | Google Maps | `!m Beijing` |\n| `!maps` | OpenStreetMap | `!maps Paris` |\n\n### 2.3 DuckDuckGo 搜索参数\n\n| 参数 | 功能 | 示例 |\n|------|------|------|\n| `kp=1` | 严格安全搜索 | `https://duckduckgo.com/html/?q=test&kp=1` |\n| `kp=-1` | 关闭安全搜索 | `https://duckduckgo.com/html/?q=test&kp=-1` |\n| `kl=cn` | 中国区域 | `https://duckduckgo.com/html/?q=news&kl=cn` |\n| `kl=us-en` | 美国英文 | `https://duckduckgo.com/html/?q=news&kl=us-en` |\n| `ia=web` | 网页结果 | `https://duckduckgo.com/?q=test&ia=web` |\n| `ia=images` | 图片结果 | `https://duckduckgo.com/?q=test&ia=images` |\n| `ia=news` | 新闻结果 | `https://duckduckgo.com/?q=test&ia=news` |\n| `ia=videos` | 视频结果 | `https://duckduckgo.com/?q=test&ia=videos` |\n\n### 2.4 DuckDuckGo 深度搜索示例\n\n```javascript\n// 1. 使用Bang跳转到Google搜索\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!g+machine+learning\"})\n\n// 2. 直接搜索GitHub上的项目\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!gh+react\"})\n\n// 3. 查找Stack Overflow答案\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!so+python+list+comprehension\"})\n\n// 4. 生成密码\nweb_fetch({\"url\": \"https://duckduckgo.com/?q=password+16\"})\n\n// 5. Base64编码\nweb_fetch({\"url\": \"https://duckduckgo.com/?q=base64+hello+world\"})\n\n// 6. 颜色代码转换\nweb_fetch({\"url\": \"https://duckduckgo.com/?q=%23FF5733\"})\n\n// 7. 搜索YouTube视频\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!yt+python+tutorial\"})\n\n// 8. 查看Wikipedia\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!w+artificial+intelligence\"})\n\n// 9. 亚马逊商品搜索\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!a+laptop\"})\n\n// 10. 生成二维码\nweb_fetch({\"url\": \"https://duckduckgo.com/?q=qr+https://github.com\"})\n```\n\n---\n\n## 🔎 Brave Search 深度搜索\n\n### 3.1 Brave Search 特色功能\n\n| 功能 | 参数 | 示例 |\n|------|------|------|\n| **独立索引** | 无依赖Google/Bing | 自有爬虫索引 |\n| **Goggles** | 自定义搜索规则 | 创建个性化过滤器 |\n| **Discussions** | 论坛讨论搜索 | 聚合Reddit等论坛 |\n| **News** | 新闻聚合 | 独立新闻索引 |\n\n### 3.2 Brave Search 参数\n\n| 参数 | 功能 | 示例 |\n|------|------|------|\n| `tf=pw` | 本周 | `https://search.brave.com/search?q=news&tf=pw` |\n| `tf=pm` | 本月 | `https://search.brave.com/search?q=tech&tf=pm` |\n| `tf=py` | 本年 | `https://search.brave.com/search?q=AI&tf=py` |\n| `safesearch=strict` | 严格安全 | `https://search.brave.com/search?q=test&safesearch=strict` |\n| `source=web` | 网页搜索 | 默认 |\n| `source=news` | 新闻搜索 | `https://search.brave.com/search?q=tech&source=news` |\n| `source=images` | 图片搜索 | `https://search.brave.com/search?q=cat&source=images` |\n| `source=videos` | 视频搜索 | `https://search.brave.com/search?q=music&source=videos` |\n\n### 3.3 Brave Search Goggles（自定义过滤器）\n\nGoggles 允许创建自定义搜索规则：\n\n```\n$discard  // 丢弃所有\n$boost,site=stackoverflow.com  // 提升Stack Overflow\n$boost,site=github.com  // 提升GitHub\n$boost,site=docs.python.org  // 提升Python文档\n```\n\n### 3.4 Brave Search 深度搜索示例\n\n```javascript\n// 1. 本周科技新闻\nweb_fetch({\"url\": \"https://search.brave.com/search?q=technology&tf=pw&source=news\"})\n\n// 2. 本月AI发展\nweb_fetch({\"url\": \"https://search.brave.com/search?q=artificial+intelligence&tf=pm\"})\n\n// 3. 图片搜索\nweb_fetch({\"url\": \"https://search.brave.com/search?q=machine+learning&source=images\"})\n\n// 4. 视频教程\nweb_fetch({\"url\": \"https://search.brave.com/search?q=python+tutorial&source=videos\"})\n\n// 5. 使用独立索引搜索\nweb_fetch({\"url\": \"https://search.brave.com/search?q=privacy+tools\"})\n```\n\n---\n\n## 📊 WolframAlpha 知识计算搜索\n\n### 4.1 WolframAlpha 数据类型\n\n| 类型 | 查询示例 | URL |\n|------|---------|-----|\n| **数学计算** | `integrate x^2 dx` | `https://www.wolframalpha.com/input?i=integrate+x%5E2+dx` |\n| **单位换算** | `100 miles to km` | `https://www.wolframalpha.com/input?i=100+miles+to+km` |\n| **货币转换** | `100 USD to CNY` | `https://www.wolframalpha.com/input?i=100+USD+to+CNY` |\n| **股票数据** | `AAPL stock` | `https://www.wolframalpha.com/input?i=AAPL+stock` |\n| **天气查询** | `weather in Beijing` | `https://www.wolframalpha.com/input?i=weather+in+Beijing` |\n| **人口数据** | `population of China` | `https://www.wolframalpha.com/input?i=population+of+China` |\n| **化学元素** | `properties of gold` | `https://www.wolframalpha.com/input?i=properties+of+gold` |\n| **营养成分** | `nutrition of apple` | `https://www.wolframalpha.com/input?i=nutrition+of+apple` |\n| **日期计算** | `days between Jan 1 2020 and Dec 31 2024` | 日期间隔计算 |\n| **时区转换** | `10am Beijing to New York` | 时区转换 |\n| **IP地址** | `8.8.8.8` | IP信息查询 |\n| **条形码** | `scan barcode 123456789` | 条码信息 |\n| **飞机航班** | `flight AA123` | 航班信息 |\n\n### 4.2 WolframAlpha 深度搜索示例\n\n```javascript\n// 1. 计算积分\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=integrate+sin%28x%29+from+0+to+pi\"})\n\n// 2. 解方程\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=solve+x%5E2-5x%2B6%3D0\"})\n\n// 3. 货币实时汇率\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=100+USD+to+CNY\"})\n\n// 4. 股票实时数据\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=Apple+stock+price\"})\n\n// 5. 城市天气\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=weather+in+Shanghai+tomorrow\"})\n\n// 6. 国家统计信息\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=GDP+of+China+vs+USA\"})\n\n// 7. 化学计算\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=molar+mass+of+H2SO4\"})\n\n// 8. 物理常数\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=speed+of+light\"})\n\n// 9. 营养信息\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=calories+in+banana\"})\n\n// 10. 历史日期\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=events+on+July+20+1969\"})\n```\n\n---\n\n## 🔧 Startpage 隐私搜索\n\n### 5.1 Startpage 特色功能\n\n| 功能 | 说明 | URL |\n|------|------|-----|\n| **代理浏览** | 匿名访问搜索结果 | 点击\"匿名查看\" |\n| **无追踪** | 不记录搜索历史 | 默认开启 |\n| **EU服务器** | 受欧盟隐私法保护 | 数据在欧洲 |\n| **代理图片** | 图片代理加载 | 隐藏IP |\n\n### 5.2 Startpage 参数\n\n| 参数 | 功能 | 示例 |\n|------|------|------|\n| `cat=web` | 网页搜索 | 默认 |\n| `cat=images` | 图片搜索 | `...&cat=images` |\n| `cat=video` | 视频搜索 | `...&cat=video` |\n| `cat=news` | 新闻搜索 | `...&cat=news` |\n| `language=english` | 英文结果 | `...&language=english` |\n| `time=day` | 过去24小时 | `...&time=day` |\n| `time=week` | 过去一周 | `...&time=week` |\n| `time=month` | 过去一月 | `...&time=month` |\n| `time=year` | 过去一年 | `...&time=year` |\n| `nj=0` | 关闭 family filter | `...&nj=0` |\n\n### 5.3 Startpage 深度搜索示例\n\n```javascript\n// 1. 隐私搜索\nweb_fetch({\"url\": \"https://www.startpage.com/sp/search?query=privacy+tools\"})\n\n// 2. 图片隐私搜索\nweb_fetch({\"url\": \"https://www.startpage.com/sp/search?query=nature&cat=images\"})\n\n// 3. 本周新闻（隐私模式）\nweb_fetch({\"url\": \"https://www.startpage.com/sp/search?query=tech+news&time=week&cat=news\"})\n\n// 4. 英文结果搜索\nweb_fetch({\"url\": \"https://www.startpage.com/sp/search?query=machine+learning&language=english\"})\n```\n\n---\n\n## 🌍 综合搜索策略\n\n### 6.1 按搜索目标选择引擎\n\n| 搜索目标 | 首选引擎 | 备选引擎 | 原因 |\n|---------|---------|---------|------|\n| **学术研究** | Google Scholar | Google, Brave | 学术资源索引 |\n| **编程开发** | Google | GitHub(DuckDuckGo bang) | 技术文档全面 |\n| **隐私敏感** | DuckDuckGo | Startpage, Brave | 不追踪用户 |\n| **实时新闻** | Brave News | Google News | 独立新闻索引 |\n| **知识计算** | WolframAlpha | Google | 结构化数据 |\n| **中文内容** | Google HK | Bing | 中文优化好 |\n| **欧洲视角** | Qwant | Startpage | 欧盟合规 |\n| **环保支持** | Ecosia | DuckDuckGo | 搜索植树 |\n| **无过滤** | Brave | Startpage | 无偏见结果 |\n\n### 6.2 多引擎交叉验证\n\n```javascript\n// 策略：同一关键词多引擎搜索，对比结果\nconst keyword = \"climate change 2024\";\n\n// 获取不同视角\nconst searches = [\n  { engine: \"Google\", url: `https://www.google.com/search?q=${keyword}&tbs=qdr:m` },\n  { engine: \"Brave\", url: `https://search.brave.com/search?q=${keyword}&tf=pm` },\n  { engine: \"DuckDuckGo\", url: `https://duckduckgo.com/html/?q=${keyword}` },\n  { engine: \"Ecosia\", url: `https://www.ecosia.org/search?q=${keyword}` }\n];\n\n// 分析不同引擎的结果差异\n```\n\n### 6.3 时间敏感搜索策略\n\n| 时效性要求 | 引擎选择 | 参数设置 |\n|-----------|---------|---------|\n| **实时（小时级）** | Google News, Brave News | `tbs=qdr:h`, `tf=pw` |\n| **近期（天级）** | Google, Brave | `tbs=qdr:d`, `time=day` |\n| **本周** | 所有引擎 | `tbs=qdr:w`, `tf=pw` |\n| **本月** | 所有引擎 | `tbs=qdr:m`, `tf=pm` |\n| **历史** | Google Scholar | 学术档案 |\n\n### 6.4 专业领域深度搜索\n\n#### 技术开发\n\n```javascript\n// GitHub 项目搜索\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!gh+tensorflow+stars:%3E1000\"})\n\n// Stack Overflow 问题\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!so+python+memory+leak\"})\n\n// MDN 文档\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!mdn+javascript+async+await\"})\n\n// PyPI 包\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!pypi+requests\"})\n\n// npm 包\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!npm+express\"})\n```\n\n#### 学术研究\n\n```javascript\n// Google Scholar 论文\nweb_fetch({\"url\": \"https://scholar.google.com/scholar?q=deep+learning+2024\"})\n\n// 搜索PDF论文\nweb_fetch({\"url\": \"https://www.google.com/search?q=machine+learning+filetype:pdf+2024\"})\n\n// arXiv 论文\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=site:arxiv.org+quantum+computing\"})\n```\n\n#### 金融投资\n\n```javascript\n// 股票实时数据\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=AAPL+stock\"})\n\n// 汇率转换\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=EUR+to+USD\"})\n\n// 搜索财报PDF\nweb_fetch({\"url\": \"https://www.google.com/search?q=Apple+Q4+2024+earnings+filetype:pdf\"})\n```\n\n#### 新闻时事\n\n```javascript\n// Google新闻\nweb_fetch({\"url\": \"https://www.google.com/search?q=breaking+news&tbm=nws&tbs=qdr:h\"})\n\n// Brave新闻\nweb_fetch({\"url\": \"https://search.brave.com/search?q=world+news&source=news\"})\n\n// DuckDuckGo新闻\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=tech+news&ia=news\"})\n```\n\n---\n\n## 🛠️ 高级搜索技巧汇总\n\n### URL编码工具函数\n\n```javascript\n// URL编码关键词\nfunction encodeKeyword(keyword) {\n  return encodeURIComponent(keyword);\n}\n\n// 示例\nconst keyword = \"machine learning\";\nconst encoded = encodeKeyword(keyword); // \"machine%20learning\"\n```\n\n### 批量搜索模板\n\n```javascript\n// 多引擎批量搜索函数\nfunction generateSearchUrls(keyword) {\n  const encoded = encodeURIComponent(keyword);\n  return {\n    google: `https://www.google.com/search?q=${encoded}`,\n    google_hk: `https://www.google.com.hk/search?q=${encoded}`,\n    duckduckgo: `https://duckduckgo.com/html/?q=${encoded}`,\n    brave: `https://search.brave.com/search?q=${encoded}`,\n    startpage: `https://www.startpage.com/sp/search?query=${encoded}`,\n    bing_intl: `https://cn.bing.com/search?q=${encoded}&ensearch=1`,\n    yahoo: `https://search.yahoo.com/search?p=${encoded}`,\n    ecosia: `https://www.ecosia.org/search?q=${encoded}`,\n    qwant: `https://www.qwant.com/?q=${encoded}`\n  };\n}\n\n// 使用示例\nconst urls = generateSearchUrls(\"artificial intelligence\");\n```\n\n### 时间筛选快捷函数\n\n```javascript\n// Google时间筛选URL生成\nfunction googleTimeSearch(keyword, period) {\n  const periods = {\n    hour: 'qdr:h',\n    day: 'qdr:d',\n    week: 'qdr:w',\n    month: 'qdr:m',\n    year: 'qdr:y'\n  };\n  return `https://www.google.com/search?q=${encodeURIComponent(keyword)}&tbs=${periods[period]}`;\n}\n\n// 使用示例\nconst recentNews = googleTimeSearch(\"AI breakthrough\", \"week\");\n```\n\n---\n\n## 📝 完整搜索示例集\n\n```javascript\n// ==================== 技术开发 ====================\n\n// 1. 搜索GitHub上高Star的Python项目\nweb_fetch({\"url\": \"https://www.google.com/search?q=site:github.com+python+stars:%3E1000\"})\n\n// 2. Stack Overflow最佳答案\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!so+best+way+to+learn+python\"})\n\n// 3. MDN文档查询\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!mdn+promises\"})\n\n// 4. 搜索npm包\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!npm+axios\"})\n\n// ==================== 学术研究 ====================\n\n// 5. Google Scholar论文\nweb_fetch({\"url\": \"https://scholar.google.com/scholar?q=transformer+architecture\"})\n\n// 6. 搜索PDF论文\nweb_fetch({\"url\": \"https://www.google.com/search?q=attention+is+all+you+need+filetype:pdf\"})\n\n// 7. arXiv最新论文\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=site:arxiv.org+abs+quantum\"})\n\n// ==================== 新闻时事 ====================\n\n// 8. Google最新新闻（过去1小时）\nweb_fetch({\"url\": \"https://www.google.com/search?q=breaking+news&tbs=qdr:h&tbm=nws\"})\n\n// 9. Brave本周科技新闻\nweb_fetch({\"url\": \"https://search.brave.com/search?q=technology&tf=pw&source=news\"})\n\n// 10. DuckDuckGo新闻\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=world+news&ia=news\"})\n\n// ==================== 金融投资 ====================\n\n// 11. 股票实时数据\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=Tesla+stock\"})\n\n// 12. 货币汇率\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=1+BTC+to+USD\"})\n\n// 13. 公司财报PDF\nweb_fetch({\"url\": \"https://www.google.com/search?q=Microsoft+annual+report+2024+filetype:pdf\"})\n\n// ==================== 知识计算 ====================\n\n// 14. 数学计算\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=derivative+of+x%5E3+sin%28x%29\"})\n\n// 15. 单位换算\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=convert+100+miles+to+kilometers\"})\n\n// 16. 营养信息\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=protein+in+chicken+breast\"})\n\n// ==================== 隐私保护搜索 ====================\n\n// 17. DuckDuckGo隐私搜索\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=privacy+tools\"})\n\n// 18. Startpage匿名搜索\nweb_fetch({\"url\": \"https://www.startpage.com/sp/search?query=secure+messaging\"})\n\n// 19. Brave无追踪搜索\nweb_fetch({\"url\": \"https://search.brave.com/search?q=encryption+software\"})\n\n// ==================== 高级组合搜索 ====================\n\n// 20. Google多条件精确搜索\nweb_fetch({\"url\": \"https://www.google.com/search?q=%22machine+learning%22+site:github.com+filetype:pdf+2024\"})\n\n// 21. 排除特定站点的搜索\nweb_fetch({\"url\": \"https://www.google.com/search?q=python+tutorial+-wikipedia+-w3schools\"})\n\n// 22. 价格范围搜索\nweb_fetch({\"url\": \"https://www.google.com/search?q=laptop+%24800..%241200+best+review\"})\n\n// 23. 使用Bangs快速跳转\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!g+site:medium.com+python\"})\n\n// 24. 图片搜索（Google）\nweb_fetch({\"url\": \"https://www.google.com/search?q=beautiful+landscape&tbm=isch\"})\n\n// 25. 学术引用搜索\nweb_fetch({\"url\": \"https://scholar.google.com/scholar?q=author:%22Geoffrey+Hinton%22\"})\n```\n\n---\n\n## 🔐 隐私保护最佳实践\n\n### 搜索引擎隐私级别\n\n| 引擎 | 追踪级别 | 数据保留 | 加密 | 推荐场景 |\n|------|---------|---------|------|---------|\n| **DuckDuckGo** | 无追踪 | 无保留 | 是 | 日常隐私搜索 |\n| **Startpage** | 无追踪 | 无保留 | 是 | 需要Google结果但保护隐私 |\n| **Brave** | 无追踪 | 无保留 | 是 | 独立索引，无偏见 |\n| **Qwant** | 无追踪 | 无保留 | 是 | 欧盟合规要求 |\n| **Google** | 高度追踪 | 长期保留 | 是 | 需要个性化结果 |\n| **Bing** | 中度追踪 | 长期保留 | 是 | 微软服务集成 |\n\n### 隐私搜索建议\n\n1. **日常使用**: DuckDuckGo 或 Brave\n2. **需要Google结果但保护隐私**: Startpage\n3. **学术研究**: Google Scholar（学术用途追踪较少）\n4. **敏感查询**: 使用Tor浏览器 + DuckDuckGo onion服务\n5. **跨设备同步**: 避免登录搜索引擎账户\n\n---\n\n## 📚 参考资料\n\n- [Google搜索操作符完整列表](https://support.google.com/websearch/answer/...)\n- [DuckDuckGo Bangs完整列表](https://duckduckgo.com/bang)\n- [Brave Search文档](https://search.brave.com/help/...)\n- [WolframAlpha示例](https://www.wolframalpha.com/examples/)\n\nFile v1.0.0:CHANGELOG.md\n\n# Changelog\r\n\r\n## v2.0.1 (2026-02-06)\r\n- Simplified documentation\r\n- Removed gov-related content\r\n- Optimized for ClawHub publishing\r\n\r\n## v2.0.0 (2026-02-06)\r\n- Added 9 international search engines\r\n- Enhanced advanced search capabilities\r\n- Added DuckDuckGo Bangs support\r\n- Added WolframAlpha knowledge queries\r\n\r\n## v1.0.0 (2026-02-04)\r\n- Initial release with 8 domestic search engines\n\nFile v1.0.0:CHANNELLOG.md\n\n# Multi Search Engine\n\n## 基本信息\n\n- **名称**: multi-search-engine\n- **版本**: v2.0.1\n- **描述**: 集成17个搜索引擎（8国内+9国际），支持高级搜索语法\n- **发布时间**: 2026-02-06\n\n## 搜索引擎\n\n**国内（8个）**: 百度、必应、360、搜狗、微信、头条、集思录\n**国际（9个）**: Google、DuckDuckGo、Yahoo、Brave、Startpage、Ecosia、Qwant、WolframAlpha\n\n## 核心功能\n\n- 高级搜索操作符（site:, filetype:, intitle:等）\n- DuckDuckGo Bangs快捷命令\n- 时间筛选（小时/天/周/月/年）\n- 隐私保护搜索\n- WolframAlpha知识计算\n\n## 更新记录\n\n### v2.0.1 (2026-02-06)\n- 精简文档，优化发布\n\n### v2.0.0 (2026-02-06)\n- 新增9个国际搜索引擎\n- 强化深度搜索能力\n\n### v1.0.0 (2026-02-04)\n- 初始版本：8个国内搜索引擎\n\n## 使用示例\n\n```javascript\n// Google搜索\nweb_fetch({\"url\": \"https://www.google.com/search?q=python\"})\n\n// 隐私搜索\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=privacy\"})\n\n// 站内搜索\nweb_fetch({\"url\": \"https://www.google.com/search?q=site:github.com+python\"})\n```\n\nMIT License\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nMulti search engine integration with 17 engines (8 CN + 9 Global), advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries without API keys.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[jirboy](https://clawhub.ai/user/jirboy)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to choose and compose search queries across Chinese and international search engines, including privacy-oriented engines and WolframAlpha knowledge queries.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Advanced search patterns may be used to look for exposed passwords, admin pages, private files, or other sensitive third-party data without authorization.\n\nMitigation: Use the skill only for authorized search tasks and avoid queries aimed at discovering sensitive third-party data.\n\n## Reference(s):\n\n- [International Search Guide](artifact/references/international-search.md)\n- [ClawHub Skill Page](https://clawhub.ai/jirboy/skills/multi-search-engine-cn)\n- [Publisher Profile](https://clawhub.ai/user/jirboy)\n\n## Skill Output:\n\n**Output Type(s):** [Guidance, Code]\n\n**Output Format:** [Markdown with URL examples and JavaScript-style web_fetch snippets]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [No API keys required; outputs are search URLs, query patterns, and concise usage examples.]\n\n## Skill Version(s):\n\n1.0.0 (source: ClawHub release evidence and target metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.0:config.json\n\n{\n  \"name\": \"multi-search-engine\",\n  \"engines\": [\n    {\"name\": \"Baidu\", \"url\": \"https://www.baidu.com/s?wd={keyword}\", \"region\": \"cn\"},\n    {\"name\": \"Bing CN\", \"url\": \"https://cn.bing.com/search?q={keyword}&ensearch=0\", \"region\": \"cn\"},\n    {\"name\": \"Bing INT\", \"url\": \"https://cn.bing.com/search?q={keyword}&ensearch=1\", \"region\": \"cn\"},\n    {\"name\": \"360\", \"url\": \"https://www.so.com/s?q={keyword}\", \"region\": \"cn\"},\n    {\"name\": \"Sogou\", \"url\": \"https://sogou.com/web?query={keyword}\", \"region\": \"cn\"},\n    {\"name\": \"WeChat\", \"url\": \"https://wx.sogou.com/weixin?type=2&query={keyword}\", \"region\": \"cn\"},\n    {\"name\": \"Toutiao\", \"url\": \"https://so.toutiao.com/search?keyword={keyword}\", \"region\": \"cn\"},\n    {\"name\": \"Jisilu\", \"url\": \"https://www.jisilu.cn/explore/?keyword={keyword}\", \"region\": \"cn\"},\n    {\"name\": \"Google\", \"url\": \"https://www.google.com/search?q={keyword}\", \"region\": \"global\"},\n    {\"name\": \"Google HK\", \"url\": \"https://www.google.com.hk/search?q={keyword}\", \"region\": \"global\"},\n    {\"name\": \"DuckDuckGo\", \"url\": \"https://duckduckgo.com/html/?q={keyword}\", \"region\": \"global\"},\n    {\"name\": \"Yahoo\", \"url\": \"https://search.yahoo.com/search?p={keyword}\", \"region\": \"global\"},\n    {\"name\": \"Startpage\", \"url\": \"https://www.startpage.com/sp/search?query={keyword}\", \"region\": \"global\"},\n    {\"name\": \"Brave\", \"url\": \"https://search.brave.com/search?q={keyword}\", \"region\": \"global\"},\n    {\"name\": \"Ecosia\", \"url\": \"https://www.ecosia.org/search?q={keyword}\", \"region\": \"global\"},\n    {\"name\": \"Qwant\", \"url\": \"https://www.qwant.com/?q={keyword}\", \"region\": \"global\"},\n    {\"name\": \"WolframAlpha\", \"url\": \"https://www.wolframalpha.com/input?i={keyword}\", \"region\": \"global\"}\n  ]\n}\n\nFile v1.0.0:metadata.json\n\n{\n  \"name\": \"multi-search-engine\",\n  \"version\": \"2.0.1\",\n  \"description\": \"Multi search engine with 17 engines (8 CN + 9 Global). Supports advanced operators, time filters, privacy engines.\",\n  \"engines\": 17,\n  \"requires_api_key\": false\n}","readmeExcerpt":"Skill: Multi Search Engine Owner: jirboy Summary: Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and Wolfra... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-17T10:50:51.714Z | auto - Integrates 17 search engines (8 Chinese, 9 international) with advanced operator and time filter support. - Enables site-specific,","codeSnippets":[],"executableExamples":[{"language":"javascript","snippet":"// 1. 搜索GitHub上的Python机器学习项目\nweb_fetch({\"url\": \"https://www.google.com/search?q=site:github.com+python+machine+learning\"})\n\n// 2. 搜索2024年的PDF格式机器学习教程\nweb_fetch({\"url\": \"https://www.google.com/search?q=machine+learning+tutorial+filetype:pdf&tbs=cdr:1,cd_min:1/1/2024\"})\n\n// 3. 搜索标题包含\"tutorial\"的Python相关页面\nweb_fetch({\"url\": \"https://www.google.com/search?q=intitle:tutorial+python\"})\n\n// 4. 搜索过去一周的新闻\nweb_fetch({\"url\": \"https://www.google.com/search?q=AI+breakthrough&tbs=qdr:w&tbm=nws\"})\n\n// 5. 搜索中文内容（界面英文，结果中文）\nweb_fetch({\"url\": \"https://www.google.com/search?q=人工智能&lr=lang_zh-CN&hl=en\"})\n\n// 6. 搜索特定价格范围的笔记本电脑\nweb_fetch({\"url\": \"https://www.google.com/search?q=laptop+%241000..%242000+best+rating\"})\n\n// 7. 搜索排除Wikipedia的结果\nweb_fetch({\"url\": \"https://www.google.com/search?q=python+programming+-wikipedia\"})\n\n// 8. 搜索学术文献\nweb_fetch({\"url\": \"https://scholar.google.com/scholar?q=deep+learning+optimization\"})\n\n// 9. 搜索缓存页面（查看已删除内容）\nweb_fetch({\"url\": \"https://webcache.googleusercontent.com/search?q=cache:example.com\"})\n\n// 10. 搜索相关网站\nweb_fetch({\"url\": \"https://www.google.com/search?q=related:stackoverflow.com\"})"},{"language":"javascript","snippet":"// 1. 使用Bang跳转到Google搜索\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!g+machine+learning\"})\n\n// 2. 直接搜索GitHub上的项目\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!gh+react\"})\n\n// 3. 查找Stack Overflow答案\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!so+python+list+comprehension\"})\n\n// 4. 生成密码\nweb_fetch({\"url\": \"https://duckduckgo.com/?q=password+16\"})\n\n// 5. Base64编码\nweb_fetch({\"url\": \"https://duckduckgo.com/?q=base64+hello+world\"})\n\n// 6. 颜色代码转换\nweb_fetch({\"url\": \"https://duckduckgo.com/?q=%23FF5733\"})\n\n// 7. 搜索YouTube视频\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!yt+python+tutorial\"})\n\n// 8. 查看Wikipedia\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!w+artificial+intelligence\"})\n\n// 9. 亚马逊商品搜索\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!a+laptop\"})\n\n// 10. 生成二维码\nweb_fetch({\"url\": \"https://duckduckgo.com/?q=qr+https://github.com\"})"},{"language":"text","snippet":"$discard  // 丢弃所有\n$boost,site=stackoverflow.com  // 提升Stack Overflow\n$boost,site=github.com  // 提升GitHub\n$boost,site=docs.python.org  // 提升Python文档"},{"language":"javascript","snippet":"// 1. 本周科技新闻\nweb_fetch({\"url\": \"https://search.brave.com/search?q=technology&tf=pw&source=news\"})\n\n// 2. 本月AI发展\nweb_fetch({\"url\": \"https://search.brave.com/search?q=artificial+intelligence&tf=pm\"})\n\n// 3. 图片搜索\nweb_fetch({\"url\": \"https://search.brave.com/search?q=machine+learning&source=images\"})\n\n// 4. 视频教程\nweb_fetch({\"url\": \"https://search.brave.com/search?q=python+tutorial&source=videos\"})\n\n// 5. 使用独立索引搜索\nweb_fetch({\"url\": \"https://search.brave.com/search?q=privacy+tools\"})"},{"language":"javascript","snippet":"// 1. 计算积分\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=integrate+sin%28x%29+from+0+to+pi\"})\n\n// 2. 解方程\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=solve+x%5E2-5x%2B6%3D0\"})\n\n// 3. 货币实时汇率\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=100+USD+to+CNY\"})\n\n// 4. 股票实时数据\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=Apple+stock+price\"})\n\n// 5. 城市天气\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=weather+in+Shanghai+tomorrow\"})\n\n// 6. 国家统计信息\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=GDP+of+China+vs+USA\"})\n\n// 7. 化学计算\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=molar+mass+of+H2SO4\"})\n\n// 8. 物理常数\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=speed+of+light\"})\n\n// 9. 营养信息\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=calories+in+banana\"})\n\n// 10. 历史日期\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=events+on+July+20+1969\"})"},{"language":"javascript","snippet":"// 1. 隐私搜索\nweb_fetch({\"url\": \"https://www.startpage.com/sp/search?query=privacy+tools\"})\n\n// 2. 图片隐私搜索\nweb_fetch({\"url\": \"https://www.startpage.com/sp/search?query=nature&cat=images\"})\n\n// 3. 本周新闻（隐私模式）\nweb_fetch({\"url\": \"https://www.startpage.com/sp/search?query=tech+news&time=week&cat=news\"})\n\n// 4. 英文结果搜索\nweb_fetch({\"url\": \"https://www.startpage.com/sp/search?query=machine+learning&language=english\"})"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\r\nname: \"multi-search-engine\"\r\ndescription: \"Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.\"\r\n---\r\n\r\n# Multi Search Engine v2.0.1\r\n\r\nIntegration of 17 search engines for web crawling without API keys.\r\n\r\n## Search Engines\r\n\r\n### Domestic (8)\r\n- **Baidu**: `https://www.baidu.com/s?wd={keyword}`\r\n- **Bing CN**: `https://cn.bing.com/search?q={keyword}&ensearch=0`\r\n- **Bing INT**: `https://cn.bing.com/search?q={keyword}&ensearch=1`\r\n- **360**: `https://www.so.com/s?q={keyword}`\r\n- **Sogou**: `https://sogou.com/web?query={keyword}`\r\n- **WeChat**: `https://wx.sogou.com/weixin?type=2&query={keyword}`\r\n- **Toutiao**: `https://so.toutiao.com/search?keyword={keyword}`\r\n- **Jisilu**: `https://www.jisilu.cn/explore/?keyword={keyword}`\r\n\r\n### International (9)\r\n- **Google**: `https://www.google.com/search?q={keyword}`\r\n- **Google HK**: `https://www.google.com.hk/search?q={keyword}`\r\n- **DuckDuckGo**: `https://duckduckgo.com/html/?q={keyword}`\r\n- **Yahoo**: `https://search.yahoo.com/search?p={keyword}`\r\n- **Startpage**: `https://www.startpage.com/sp/search?query={keyword}`\r\n- **Brave**: `https://search.brave.com/search?q={keyword}`\r\n- **Ecosia**: `https://www.ecosia.org/search?q={keyword}`\r\n- **Qwant**: `https://www.qwant.com/?q={keyword}`\r\n- **WolframAlpha**: `https://www.wolframalpha.com/input?i={keyword}`\r\n\r\n## Quick Examples\r\n\r\n```javascript\r\n// Basic search\r\nweb_fetch({\"url\": \"https://www.google.com/search?q=python+tutorial\"})\r\n\r\n// Site-specific\r\nweb_fetch({\"url\": \"https://www.google.com/search?q=site:github.com+react\"})\r\n\r\n// File type\r\nweb_fetch({\"url\": \"https://www.google.com/search?q=machine+learning+filetype:pdf\"})\r\n\r\n// Time filter (past week)\r\nweb_fetch({\"url\": \"https://www.google.com/search?q=ai+news&tbs=qdr:w\"})\r\n\r\n// Privacy search\r\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=privacy+tools\"})\r\n\r\n// DuckDuckGo Bangs\r\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=!gh+tensorflow\"})\r\n\r\n// Knowledge calculation\r\nweb_fetch({\"url\": \"https://www.wolframalpha.com/input?i=100+USD+to+CNY\"})\r\n```\r\n\r\n## Advanced Operators\r\n\r\n| Operator | Example | Description |\r\n|----------|---------|-------------|\r\n| `site:` | `site:github.com python` | Search within site |\r\n| `filetype:` | `filetype:pdf report` | Specific file type |\r\n| `\"\"` | `\"machine learning\"` | Exact match |\r\n| `-` | `python -snake` | Exclude term |\r\n| `OR` | `cat OR dog` | Either term |\r\n\r\n## Time Filters\r\n\r\n| Parameter | Description |\r\n|-----------|-------------|\r\n| `tbs=qdr:h` | Past hour |\r\n| `tbs=qdr:d` | Past day |\r\n| `tbs=qdr:w` | Past week |\r\n| `tbs=qdr:m` | Past month |\r\n| `tbs=qdr:y` | Past year |\r\n\r\n## Privacy Engines\r\n\r\n- **DuckDuckGo**: No tracking\r\n- **Startpage**: Google results + privacy\r\n- **Brave**: Independent index\r\n- **Qwant**: EU GDPR compliant\r\n\r\n## Bangs Shortcuts (DuckDuckGo)\r\n\r\n| Bang | Destination |\r\n|----"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7024ea9mpn20nvh221shx04h8434xe\",\n  \"slug\": \"multi-search-engine-cn\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776423051714\n}"},{"path":"references/international-search.md","content":"# 国际搜索引擎深度搜索指南\n\n## 🔍 Google 深度搜索\n\n### 1.1 基础高级搜索操作符\n\n| 操作符 | 功能 | 示例 | URL |\n|--------|------|------|-----|\n| `\"\"` | 精确匹配 | `\"machine learning\"` | `https://www.google.com/search?q=%22machine+learning%22` |\n| `-` | 排除关键词 | `python -snake` | `https://www.google.com/search?q=python+-snake` |\n| `OR` | 或运算 | `machine learning OR deep learning` | `https://www.google.com/search?q=machine+learning+OR+deep+learning` |\n| `*` | 通配符 | `machine * algorithms` | `https://www.google.com/search?q=machine+*+algorithms` |\n| `()` | 分组 | `(apple OR microsoft) phones` | `https://www.google.com/search?q=(apple+OR+microsoft)+phones` |\n| `..` | 数字范围 | `laptop $500..$1000` | `https://www.google.com/search?q=laptop+%24500..%241000` |\n\n### 1.2 站点与文件搜索\n\n| 操作符 | 功能 | 示例 |\n|--------|------|------|\n| `site:` | 站内搜索 | `site:github.com python projects` |\n| `filetype:` | 文件类型 | `filetype:pdf annual report` |\n| `inurl:` | URL包含 | `inurl:login admin` |\n| `intitle:` | 标题包含 | `intitle:\"index of\" mp3` |\n| `intext:` | 正文包含 | `intext:password filetype:txt` |\n| `cache:` | 查看缓存 | `cache:example.com` |\n| `related:` | 相关网站 | `related:github.com` |\n| `info:` | 网站信息 | `info:example.com` |\n\n### 1.3 时间筛选参数\n\n| 参数 | 含义 | URL示例 |\n|------|------|---------|\n| `tbs=qdr:h` | 过去1小时 | `https://www.google.com/search?q=news&tbs=qdr:h` |\n| `tbs=qdr:d` | 过去24小时 | `https://www.google.com/search?q=news&tbs=qdr:d` |\n| `tbs=qdr:w` | 过去1周 | `https://www.google.com/search?q=news&tbs=qdr:w` |\n| `tbs=qdr:m` | 过去1月 | `https://www.google.com/search?q=news&tbs=qdr:m` |\n| `tbs=qdr:y` | 过去1年 | `https://www.google.com/search?q=news&tbs=qdr:y` |\n| `tbs=cdr:1,cd_min:1/1/2024,cd_max:12/31/2024` | 自定义日期范围 | 2024年全年 |\n\n### 1.4 语言和地区筛选\n\n| 参数 | 功能 | 示例 |\n|------|------|------|\n| `hl=en` | 界面语言 | `https://www.google.com/search?q=test&hl=en` |\n| `lr=lang_zh-CN` | 搜索结果语言 | `https://www.google.com/search?q=test&lr=lang_zh-CN` |\n| `cr=countryCN` | 国家/地区 | `https://www.google.com/search?q=test&cr=countryCN` |\n| `gl=us` | 地理位置 | `https://www.google.com/search?q=test&gl=us` |\n\n### 1.5 特殊搜索类型\n\n| 类型 | URL | 说明 |\n|------|-----|------|\n| 图片搜索 | `https://www.google.com/search?q={keyword}&tbm=isch` | `tbm=isch` 表示图片 |\n| 新闻搜索 | `https://www.google.com/search?q={keyword}&tbm=nws` | `tbm=nws` 表示新闻 |\n| 视频搜索 | `https://www.google.com/search?q={keyword}&tbm=vid` | `tbm=vid` 表示视频 |\n| 地图搜索 | `https://www.google.com/search?q={keyword}&tbm=map` | `tbm=map` 表示地图 |\n| 购物搜索 | `https://www.google.com/search?q={keyword}&tbm=shop` | `tbm=shop` 表示购物 |\n| 图书搜索 | `https://www.google.com/search?q={keyword}&tbm=bks` | `tbm=bks` 表示图书 |\n| 学术搜索 | `https://scholar.google.com/scholar?q={keyword}` | Google Scholar |\n\n### 1.6 Google 深度搜索示例\n\n```javascript\n// 1. 搜索GitHub上的Python机器学习项目\nweb_fetch({\"url\": \"https://www.google.com/search?q=site:github.com+python+machine+learning\"})\n\n// 2. 搜索2024年的PDF格式机器学习教程\nweb_fetch({\"url\": \"https://www.google.com/search?q=machine+learning+tutorial+filetype:pdf&tbs=cdr:1,cd_min:1/1/2024\"})\n\n// 3. 搜索标题包含\"tutorial\"的Python相关页面\nweb_fetch({\"url\": "},{"path":"CHANGELOG.md","content":"# Changelog\r\n\r\n## v2.0.1 (2026-02-06)\r\n- Simplified documentation\r\n- Removed gov-related content\r\n- Optimized for ClawHub publishing\r\n\r\n## v2.0.0 (2026-02-06)\r\n- Added 9 international search engines\r\n- Enhanced advanced search capabilities\r\n- Added DuckDuckGo Bangs support\r\n- Added WolframAlpha knowledge queries\r\n\r\n## v1.0.0 (2026-02-04)\r\n- Initial release with 8 domestic search engines"},{"path":"CHANNELLOG.md","content":"# Multi Search Engine\n\n## 基本信息\n\n- **名称**: multi-search-engine\n- **版本**: v2.0.1\n- **描述**: 集成17个搜索引擎（8国内+9国际），支持高级搜索语法\n- **发布时间**: 2026-02-06\n\n## 搜索引擎\n\n**国内（8个）**: 百度、必应、360、搜狗、微信、头条、集思录\n**国际（9个）**: Google、DuckDuckGo、Yahoo、Brave、Startpage、Ecosia、Qwant、WolframAlpha\n\n## 核心功能\n\n- 高级搜索操作符（site:, filetype:, intitle:等）\n- DuckDuckGo Bangs快捷命令\n- 时间筛选（小时/天/周/月/年）\n- 隐私保护搜索\n- WolframAlpha知识计算\n\n## 更新记录\n\n### v2.0.1 (2026-02-06)\n- 精简文档，优化发布\n\n### v2.0.0 (2026-02-06)\n- 新增9个国际搜索引擎\n- 强化深度搜索能力\n\n### v1.0.0 (2026-02-04)\n- 初始版本：8个国内搜索引擎\n\n## 使用示例\n\n```javascript\n// Google搜索\nweb_fetch({\"url\": \"https://www.google.com/search?q=python\"})\n\n// 隐私搜索\nweb_fetch({\"url\": \"https://duckduckgo.com/html/?q=privacy\"})\n\n// 站内搜索\nweb_fetch({\"url\": \"https://www.google.com/search?q=site:github.com+python\"})\n```\n\nMIT 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