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Multi Search Engine Local

Name: Multi Search Engine Local
Author: reknottycat

作者 reknottycat · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

107

总下载

当前安装

版本数

在 OpenClaw 中安装

/install multi-search-engine-local

功能描述

Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and Wolfra...

使用说明 (SKILL.md)

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

// 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

安全使用建议

This skill is coherent and lightweight: it simply provides URL templates and examples for querying many search engines via web_fetch. Before installing, consider: (1) Automated queries to many engines may trigger rate limits, CAPTCHAs, or violate terms of service — throttle requests and respect robots.txt and site policies. (2) Example operators include patterns that can surface sensitive or exposed data (e.g., searching for 'password' or specific filetypes); avoid using the skill for intrusive reconnaissance against targets you do not own or for scraping private data. (3) Because it performs network fetches, ensure your agent's web_fetch sandboxing, logging, and outbound network policies meet your risk tolerance. If you want tighter control, disallow autonomous invocation for this skill or monitor its calls.

能力评估

✓ Purpose & Capability

Name/description match the content: SKILL.md, config.json, and reference docs provide 17 search engine URL templates and search/operator guidance. No unrelated credentials, binaries, or installs are requested.

ℹ Instruction Scope

Instructions only call web_fetch on search-engine URLs and include many search operator examples. This stays within the stated purpose, but the examples (e.g., intext:password filetype:txt, site: searches) facilitate targeted reconnaissance and automated scraping which may be sensitive or violate sites' terms of service. There are no instructions to read local files or environment variables.

✓ Install Mechanism

No install spec and no code files — instruction-only skill. Nothing is written to disk or downloaded during install.

✓ Credentials

The skill declares no environment variables, no credentials, and no config paths. That aligns with an instruction-only search template library.

✓ Persistence & Privilege

always is false and model invocation is allowed (the normal default). The skill does not request persistent system privileges or modify other skills' configuration.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install multi-search-engine-local
安装完成后，直接呼叫该 Skill 的名称或使用 /multi-search-engine-local 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

- Initial release of multi-search-engine skill. - Supports 17 search engines (8 domestic + 9 international) with advanced operators, time filters, site and filetype search, and privacy-focused engines. - Integrates WolframAlpha for direct knowledge queries. - No API keys required; works via direct web crawl. - Includes usage examples and detailed operator documentation.

元数据

Slug multi-search-engine-local

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

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