← Back to Skills Marketplace
cp33333333333

multi-search-engine

by cp33333333333 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
447
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install multi-search-engine1
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)

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

Usage Guidance
This skill appears to do what it says: build and fetch search URLs for many public search engines and WolframAlpha, with no installs or credentials required. Things to consider before installing: 1) Source provenance is weak (no homepage/source link and the published ownerId in registry differs slightly from _meta.json ownerId) — if you need a higher trust level, prefer skills with a verifiable source or repository. 2) SKILL.md references a missing doc file (references/advanced-search.md) — minor documentation inconsistency. 3) The skill will send whatever you search (including any sensitive terms) to third-party search engines; avoid embedding secrets, private tokens, or personally sensitive data in queries. 4) Using the skill to run high-volume automated crawling may run afoul of search engines' terms of service or rate limits. If those concerns are acceptable, the skill is internally coherent and low-risk to install.
Capability Analysis
Type: OpenClaw Skill Name: multi-search-engine1 Version: 1.0.0 This skill bundle provides a comprehensive integration for 17 search engines (including Google, Baidu, and WolframAlpha) using URL templates for the `web_fetch` tool. The documentation in SKILL.md and references/international-search.md is extensive, offering guides on advanced search operators, time filters, and OSINT-style search techniques (e.g., `filetype:pdf`, `intext:password`). While these techniques can be used for sensitive information gathering, they are presented as standard search capabilities aligned with the skill's stated purpose of providing advanced search integration. No evidence of malicious intent, data exfiltration, or unauthorized execution was found.
Capability Assessment
✓ Purpose & Capability
Name/description (multi search engine aggregator) align with the contents: SKILL.md, config.json and references enumerate 17 public search engine URLs and advanced search operators. Nothing in the package asks for unrelated capabilities (no cloud creds, no binaries, no system paths).
ℹ Instruction Scope
Runtime instructions are limited to constructing search URLs and calling web_fetch on public search engine endpoints — this is within scope. Minor issues: SKILL.md lists a documentation file 'references/advanced-search.md' that is not present in the file manifest (only international-search.md exists), and many example queries embed user-provided terms directly in the URL so the agent will send query strings to third-party sites. Users should avoid including secrets or sensitive data in queries.
✓ Install Mechanism
No install spec and no code files to run; this is the lowest-risk model for installation (nothing written to disk or downloaded).
✓ Credentials
The skill requests no environment variables, no credentials, and no config paths — proportionate for a search-URL helper. Note: the agent will make outbound network requests to many external domains (search engines), which is expected but means query contents leave the local environment.
✓ Persistence & Privilege
No 'always: true' or other elevated privileges. The skill is user-invocable and may be called autonomously by the agent (platform default), which is normal for skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install multi-search-engine1
  3. After installation, invoke the skill by name or use /multi-search-engine1
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of multi-search-engine skill integrating 17 search engines (8 domestic + 9 international) - Supports advanced search operators (site search, file type, exact match, exclusion, OR) - Includes time filters and privacy-focused engines (DuckDuckGo, Startpage, Brave, Qwant) - Enables WolframAlpha for knowledge and calculation queries - No API keys required for any engine - Provides usage guides and search examples in documentation
Metadata
Slug multi-search-engine1
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 447 downloads so far.

How do I install multi-search-engine?

Run "/install multi-search-engine1" 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 cp33333333333 (@cp33333333333); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments