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multi-engine-web-search多引擎网络搜索

Agent Skill

multi-engine-web-search 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

18,768

周安装

782

GitHub Stars

公开资料未说明

下载量

6,256
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:multi-engine-web-search(多引擎网络搜索)
来源仓库:https://github.com/ivangdavila/multi-engine-web-search
安装命令:
openclaw skills install multi-engine-web-search
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install multi-engine-web-search

简介

通过一项技能搜索 Google、Bing、DuckDuckGo、Brave、Startpage、Yahoo、Yandex、百度、搜狗、Qwant、Ecosia、Mojeek 和 WolframAlpha。

SKILL.md

name
Multi-Engine Web Search
slug
multi-engine-web-search
version
1.0.0
homepage
https://clawic.com/skills/multi-engine-web-search
description
Search Google, Bing, DuckDuckGo, Brave, Startpage, Yahoo, Yandex, Baidu, Sogou, Qwant, Ecosia, Mojeek, and WolframAlpha from one skill.
changelog
Expanded engine coverage, added shortcut matrix, and improved operator examples for faster cross-check workflows.
metadata
{"clawdbot":{"emoji":"W","requires":{"bins":[]},"os":["darwin","linux","win32"]}}

Setup

On first use, read setup.md to define activation behavior and preferred engine order, then store the preference profile.

When to Use

Use this when one engine is not enough and you need broader coverage, faster cross-checking, and cleaner verification.

Architecture

Store minimal preferences in ~/multi-engine-web-search/. See memory-template.md.

~/multi-engine-web-search/
`-- memory.md   # activation mode, engine priority, blocked engines, and output style

Quick Reference

TopicFile
Setup flow and activation policysetup.md
Minimal memory schemamemory-template.md

Search Engines

Global Engines (12)

  • Google: https://www.google.com/search?q={keyword}
  • Google HK: https://www.google.com.hk/search?q={keyword}
  • Bing: https://www.bing.com/search?q={keyword}
  • Yahoo: https://search.yahoo.com/search?p={keyword}
  • DuckDuckGo: https://duckduckgo.com/html/?q={keyword}
  • Brave: https://search.brave.com/search?q={keyword}
  • Startpage: https://www.startpage.com/sp/search?query={keyword}
  • Qwant: https://www.qwant.com/?q={keyword}
  • Ecosia: https://www.ecosia.org/search?q={keyword}
  • Mojeek: https://www.mojeek.com/search?q={keyword}
  • Swisscows: https://swisscows.com/web?query={keyword}
  • AOL Search: https://search.aol.com/aol/search?q={keyword}

Regional Engines (9)

  • Baidu: https://www.baidu.com/s?wd={keyword}
  • Bing CN: https://cn.bing.com/search?q={keyword}&ensearch=0
  • Bing INT (CN endpoint): https://cn.bing.com/search?q={keyword}&ensearch=1
  • Sogou: https://www.sogou.com/web?query={keyword}
  • 360 Search: https://www.so.com/s?q={keyword}
  • Yandex: https://yandex.com/search/?text={keyword}
  • Naver: https://search.naver.com/search.naver?query={keyword}
  • Seznam: https://search.seznam.cz/?q={keyword}
  • CocCoc: https://coccoc.com/search?query={keyword}

Knowledge and Developer Engines (6)

  • WolframAlpha: https://www.wolframalpha.com/input?i={keyword}
  • Wikipedia: https://en.wikipedia.org/w/index.php?search={keyword}
  • GitHub Search: https://github.com/search?q={keyword}
  • Stack Overflow Search: https://stackoverflow.com/search?q={keyword}
  • Semantic Scholar: https://www.semanticscholar.org/search?q={keyword}
  • PubMed: https://pubmed.ncbi.nlm.nih.gov/?term={keyword}

Engine Shortcuts

ShortcutEngine
!gGoogle
!ghkGoogle HK
!bBing
!yYahoo
!ddgDuckDuckGo
!brBrave
!spStartpage
!qwQwant
!ecoEcosia
!mjMojeek
!swSwisscows
!aolAOL Search
!baBaidu
!bcnBing CN
!sgSogou
!360360 Search
!ydxYandex
!navNaver
!szSeznam
!ccCocCoc
!waWolframAlpha
!wWikipedia
!ghGitHub Search
!soStack Overflow
!ssSemantic Scholar
!pmPubMed

Quick Examples

// 1) Basic multi-engine pass
web_fetch({"url": "https://www.google.com/search?q=llm+agent+framework"})
web_fetch({"url": "https://duckduckgo.com/html/?q=llm+agent+framework"})
web_fetch({"url": "https://search.brave.com/search?q=llm+agent+framework"})

// 2) Site-specific verification
web_fetch({"url": "https://www.bing.com/search?q=site:github.com+fastapi+auth"})

// 3) Filetype query
web_fetch({"url": "https://www.google.com/search?q=rag+evaluation+filetype:pdf"})

// 4) Recency-focused query
web_fetch({"url": "https://www.google.com/search?q=ai+policy+2026&tbs=qdr:m"})

// 5) Knowledge query
web_fetch({"url": "https://www.wolframalpha.com/input?i=150+USD+to+EUR"})

Advanced Operators

OperatorExamplePurpose
site:site:arxiv.org agentic aiLimit to one domain
filetype:filetype:pdf model cardFind specific formats
"""context window"Exact phrase
-python -snakeExclude noisy term
ORllama OR mistralAlternative terms
intitle:intitle:benchmark llmKeyword in page title
inurl:inurl:docs authenticationKeyword in URL

Time Filters

PatternExamplePurpose
tbs=qdr:hGoogle past hourBreaking updates
tbs=qdr:dGoogle past dayDaily changes
tbs=qdr:wGoogle past weekWeekly updates
before:ai act before:2026-03-01Upper date bound
after:ai act after:2025-01-01Lower date bound

Core Rules

1. Check Preferences First

Before searching, read memory preferences:

  • activation mode (always, on-request, or mixed)
  • preferred engine order
  • blocked engines
  • output style (fast summary or evidence-heavy)

2. Always Use Multi-Engine Batches

Run at least 3 engines per request: one mainstream, one privacy engine, and one alternate index.

3. Add a Contradiction Query

For every important claim, run one query that looks for disagreement, failures, or corrections.

4. Prefer Primary Sources

If sources conflict, prioritize original docs, direct announcements, and first-party datasets.

5. Verify Date Context

For current topics, verify publication date and event date before final conclusions.

6. Return Evidence First

Output must include direct answer, best links, and confidence in one concise block.

Common Traps

  • Using only one engine and assuming top results are correct.
  • Forgetting contradiction queries on high-impact decisions.
  • Treating copied news rewrites as independent confirmation.
  • Ignoring date filters for rapidly changing topics.
  • Returning link dumps without a clear recommendation.

External Endpoints

Endpoint FamilyData SentPurpose
Public search engines listed abovequery textMulti-engine retrieval and cross-checking
Knowledge and developer engines listed abovequery textTechnical, scientific, and code verification

No other data is sent externally.

Related Skills

Install with clawhub install <slug> if user confirms:

  • analysis - Turn search findings into clear conclusions
  • compare - Compare options side by side with tradeoffs
  • web - Inspect pages deeply after initial retrieval
  • in-depth-research - Expand into long-form investigations
  • elasticsearch - Build custom search backends when needed

Feedback

  • If useful: clawhub star multi-engine-web-search
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.32%
按下载量换算5,150

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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