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Multi Search Engine Jarvis

Name: Multi Search Engine Jarvis
Author: bingze00000

作者 bingze00000 · GitHub ↗ · v2.0.2 · MIT-0

cross-platform ✓ 安全检测通过

155

总下载

当前安装

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在 OpenClaw 中安装

/install multi-search-engine-jarvis

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 appears coherent and safe in scope: it simply generates and fetches public search URLs. Before installing, consider: (1) provenance — the source/homepage is unknown, so verify the publisher if you need trust guarantees; (2) privacy — any query you send (including sensitive strings) will be transmitted to the chosen search engine and may be logged by that service; avoid entering secrets or credentials into search queries; (3) misuse potential — advanced operators can locate leaked credentials or private information if used intentionally or inadvertently, so restrict who can invoke the skill and review usage logs if available. If you require stronger controls, test the skill in a sandboxed agent and avoid enabling autonomous invocation for untrusted users.

功能分析

Type: OpenClaw Skill Name: multi-search-engine-jarvis Version: 2.0.2 The skill bundle is a comprehensive search engine integration tool providing URL templates and advanced search operator documentation for 17 different engines. It uses standard web_fetch calls to perform searches and includes detailed guides for Google Dorking, DuckDuckGo Bangs, and WolframAlpha queries in SKILL.md and references/international-search.md. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; all functionality is consistent with the stated purpose of enhancing an agent's search capabilities.

能力评估

✓ Purpose & Capability

Name/description match the manifest and SKILL.md: the skill is an instruction-only integration that builds search URLs for 17 engines and demonstrates web_fetch usage. There are no unrelated credentials, binaries, or install steps requested.

ℹ Instruction Scope

SKILL.md instructs the agent to call web_fetch on public search URLs and documents advanced operators and time filters. The instructions do not read local files, environment variables, or call unknown endpoints. Note: some examples/operators (e.g., intext:password filetype:txt) can be used to locate leaked or sensitive data — this is a legitimate search capability but a potential misuse vector driven by user queries, not hidden behavior in the skill.

✓ Install Mechanism

No install spec and no code files to execute — instruction-only content. This is the lowest-risk install profile; nothing will be written to disk or fetched at install time.

✓ Credentials

No environment variables, credentials, or config paths are requested. The declared manifest matches the runtime instructions (no secret exfiltration vectors declared).

✓ Persistence & Privilege

always:false and default model-invocation settings. The skill does not request persistent/always-on privileges or modify other skills/config. Autonomous invocation is allowed by platform default but is not combined with any broad privileges here.

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-jarvis
安装完成后，直接呼叫该 Skill 的名称或使用 /multi-search-engine-jarvis 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

v2.0.2

**Multi Search Engine v2.0.2 Changelog** - Updated documentation in SKILL.md for clearer engine list, usage examples, and operator references. - Provided explicit links and example queries for all 17 supported engines (8 CN + 9 Global). - Highlighted time filters, privacy search engines, and DuckDuckGo bangs usage. - Improved quick usage examples and advanced operator tables for user guidance. - Added references to supporting documentation and guides.

元数据

Slug multi-search-engine-jarvis

版本 2.0.2

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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