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jirboy

Multi Search Engine

by JIRBOY · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install multi-search-engine-cn
Description
Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and Wolfra...
README (SKILL.md)

\r \r

Multi Search Engine v2.0.1\r

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

Search Engines\r

\r

Domestic (8)\r

  • Baidu: https://www.baidu.com/s?wd={keyword}\r
  • Bing CN: https://cn.bing.com/search?q={keyword}&ensearch=0\r
  • Bing INT: https://cn.bing.com/search?q={keyword}&ensearch=1\r
  • 360: https://www.so.com/s?q={keyword}\r
  • Sogou: https://sogou.com/web?query={keyword}\r
  • WeChat: https://wx.sogou.com/weixin?type=2&query={keyword}\r
  • Toutiao: https://so.toutiao.com/search?keyword={keyword}\r
  • Jisilu: https://www.jisilu.cn/explore/?keyword={keyword}\r \r

International (9)\r

  • Google: https://www.google.com/search?q={keyword}\r
  • Google HK: https://www.google.com.hk/search?q={keyword}\r
  • DuckDuckGo: https://duckduckgo.com/html/?q={keyword}\r
  • Yahoo: https://search.yahoo.com/search?p={keyword}\r
  • Startpage: https://www.startpage.com/sp/search?query={keyword}\r
  • Brave: https://search.brave.com/search?q={keyword}\r
  • Ecosia: https://www.ecosia.org/search?q={keyword}\r
  • Qwant: https://www.qwant.com/?q={keyword}\r
  • WolframAlpha: https://www.wolframalpha.com/input?i={keyword}\r \r

Quick Examples\r

\r

// Basic search\r
web_fetch({"url": "https://www.google.com/search?q=python+tutorial"})\r
\r
// Site-specific\r
web_fetch({"url": "https://www.google.com/search?q=site:github.com+react"})\r
\r
// File type\r
web_fetch({"url": "https://www.google.com/search?q=machine+learning+filetype:pdf"})\r
\r
// Time filter (past week)\r
web_fetch({"url": "https://www.google.com/search?q=ai+news&tbs=qdr:w"})\r
\r
// Privacy search\r
web_fetch({"url": "https://duckduckgo.com/html/?q=privacy+tools"})\r
\r
// DuckDuckGo Bangs\r
web_fetch({"url": "https://duckduckgo.com/html/?q=!gh+tensorflow"})\r
\r
// Knowledge calculation\r
web_fetch({"url": "https://www.wolframalpha.com/input?i=100+USD+to+CNY"})\r
```\r
\r
## Advanced Operators\r
\r
| Operator | Example | Description |\r
|----------|---------|-------------|\r
| `site:` | `site:github.com python` | Search within site |\r
| `filetype:` | `filetype:pdf report` | Specific file type |\r
| `""` | `"machine learning"` | Exact match |\r
| `-` | `python -snake` | Exclude term |\r
| `OR` | `cat OR dog` | Either term |\r
\r
## Time Filters\r
\r
| Parameter | Description |\r
|-----------|-------------|\r
| `tbs=qdr:h` | Past hour |\r
| `tbs=qdr:d` | Past day |\r
| `tbs=qdr:w` | Past week |\r
| `tbs=qdr:m` | Past month |\r
| `tbs=qdr:y` | Past year |\r
\r
## Privacy Engines\r
\r
- **DuckDuckGo**: No tracking\r
- **Startpage**: Google results + privacy\r
- **Brave**: Independent index\r
- **Qwant**: EU GDPR compliant\r
\r
## Bangs Shortcuts (DuckDuckGo)\r
\r
| Bang | Destination |\r
|------|-------------|\r
| `!g` | Google |\r
| `!gh` | GitHub |\r
| `!so` | Stack Overflow |\r
| `!w` | Wikipedia |\r
| `!yt` | YouTube |\r
\r
## WolframAlpha Queries\r
\r
- Math: `integrate x^2 dx`\r
- Conversion: `100 USD to CNY`\r
- Stocks: `AAPL stock`\r
- Weather: `weather in Beijing`\r
\r
## Documentation\r
\r
- `references/advanced-search.md` - Domestic search guide\r
- `references/international-search.md` - International search guide\r
- `CHANGELOG.md` - Version history\r
\r
## License\r
\r
MIT\r
Usage Guidance
This skill is coherent and appears to do only what it claims: compose and fetch search URLs against public search engines. Before installing, consider: (1) provenance — the author/homepage are unknown, so maintenance, updates, or tamper history are unclear; (2) privacy — any query you issue (including sensitive strings) will be sent to third-party search sites (and DuckDuckGo bangs may redirect to other domains), so avoid searching secrets or private tokens; (3) scraping/legal concerns — aggressive automated fetching may trigger rate limits, CAPTCHAs, or violate terms of service of some engines; verify the agent's web_fetch implementation doesn't automatically include your credentials, cookies, or internal network access when it makes requests. If those points are acceptable, the skill's footprint is proportionate to its purpose.
Capability Analysis
Type: OpenClaw Skill Name: multi-search-engine-cn Version: 1.0.0 The skill bundle provides a legitimate integration for 17 search engines (domestic and international) using standard URL templates. While the documentation in 'references/international-search.md' includes 'Google Dorking' examples (e.g., searching for passwords or admin panels), these are presented as educational advanced search techniques rather than automated malicious actions. There is no evidence of data exfiltration, unauthorized execution, or harmful prompt injection targeting the agent.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
Name/description list multiple search engines and the files provide only URL templates, examples, and documentation. No binaries, env vars, or installs are requested — everything needed to perform searches (URL templates and examples for web_fetch) is present and proportional to the purpose.
Instruction Scope
SKILL.md instructs the agent to construct and fetch search URLs (web_fetch calls) and documents advanced search operators. It does not instruct reading local files, accessing unrelated environment variables, or contacting hidden endpoints. The instructions remain within the stated scope of issuing search queries.
Install Mechanism
Instruction-only skill with no install spec and no code files to write to disk. This is the lowest-risk install pattern and matches the manifest.
Credentials
No environment variables, credentials, or config paths are required. The documented use cases (search and WolframAlpha queries) do not require API keys, matching the declared metadata.
Persistence & Privilege
always is false and there are no requests to modify other skills or agent-wide settings. The skill does not request elevated persistence or privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install multi-search-engine-cn
  3. After installation, invoke the skill by name or use /multi-search-engine-cn
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Integrates 17 search engines (8 Chinese, 9 international) with advanced operator and time filter support. - Enables site-specific, file type, and privacy-focused searches directly—no API keys required. - Supports DuckDuckGo bangs and WolframAlpha knowledge queries. - Provides quick usage examples and documentation links for advanced searching. - Highlights privacy-centric engine options and relevant search shortcuts.
Metadata
Slug multi-search-engine-cn
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Multi Search Engine?

Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and Wolfra... It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.

How do I install Multi Search Engine?

Run "/install multi-search-engine-cn" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Multi Search Engine free?

Yes, Multi Search Engine is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Multi Search Engine support?

Multi Search Engine is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Multi Search Engine?

It is built and maintained by JIRBOY (@jirboy); the current version is v1.0.0.

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