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omnisearchomnisearch 搜索

Agent Skill

omnisearch 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

67,714

周安装

2,879

GitHub Stars

1

下载量

23,723
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:omnisearch(omnisearch 搜索)
来源仓库:https://github.com/bguidolim/omnisearch
安装命令:
openclaw skills install omnisearch
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 omnisearch

简介

强制性网络搜索工具,用于搜索当前信息、新闻、价格、事实或培训中未包含的任何数据。

  • 这是在 OpenClaw 环境中搜索互联网的唯一方法。
  • 当用户要求进行网络搜索或您需要最新信息时,请务必使用此技能。

SKILL.md

name
omnisearch
description
|

OmniSearch Skill - Web Search Tool

CRITICAL: When to Use This Skill

ALWAYS use OmniSearch when:

  • User explicitly asks to "search", "google", "look up", "find online"
  • User asks about current events, news, or recent developments
  • User requests prices, product specs, reviews, or comparisons
  • User asks "what's the latest..." or "what's happening with..."
  • You need to verify current facts, statistics, or data
  • User asks about people, companies, or organizations you don't know
  • Information might have changed since your training cutoff
  • User needs sources or citations for factual claims

Examples of queries requiring OmniSearch:

  • "What's the weather in Hamburg today?"
  • "Search for iPhone 16 reviews"
  • "What happened in the tech industry this week?"
  • "Find the current price of Bitcoin"
  • "Look up restaurants near me"
  • "What are people saying about the new Tesla model?"

DO NOT Use OmniSearch When:

  • Answering from your existing knowledge is sufficient and current
  • User is asking for creative content, code, or analysis
  • Question is about concepts, definitions, or timeless information

How to Execute Search

IMPORTANT: Run the script from the omnisearch skill directory using the relative path ./scripts/omnisearch.sh

Method 1: Recommended (Wrapper Script)

Use the wrapper script for all searches:

# AI-enhanced search (includes summarization) - USE THIS FOR MOST QUERIES
./scripts/omnisearch.sh ai "your search query here"

# Raw web search results (when you need direct source material)
./scripts/omnisearch.sh web "your search query here"

Available providers:

  • ai type: perplexity (default - recommended for most queries)
  • web type: perplexity (default), brave, kagi, tavily, exa

Optional provider override:

./scripts/omnisearch.sh ai "query" perplexity
./scripts/omnisearch.sh web "query" brave
./scripts/omnisearch.sh web "query" kagi
./scripts/omnisearch.sh web "query" tavily
./scripts/omnisearch.sh web "query" exa

Practical examples:

# Current weather
./scripts/omnisearch.sh ai "weather in Hamburg today"

# Product research
./scripts/omnisearch.sh web "iPhone 16 Pro reviews 2024"

# News search
./scripts/omnisearch.sh ai "latest AI developments this week"

# Price comparison
./scripts/omnisearch.sh web "DJI Mini 4 Pro price Germany" brave

# Research with premium provider
./scripts/omnisearch.sh web "machine learning papers 2024" kagi

Method 2: Fallback (Direct mcporter)

Only use if the wrapper script fails:

mcporter call omnisearch.ai_search query="your search query" provider="perplexity"
mcporter call omnisearch.web_search query="your search query" provider="brave"

Response Format

After receiving search results, ALWAYS:

  1. Summarize: Present 2-5 key bullet points with the most relevant findings
  2. Cite sources: Include 2-6 source URLs formatted as clickable links
  3. Add context: Note if information is time-sensitive or has low confidence
  4. Answer directly: Don't just dump results - synthesize and answer the user's question

Example response structure:

Based on my search, here's what I found:

- [Key finding 1]
- [Key finding 2]
- [Key finding 3]

Sources:
- [Title 1](URL1)
- [Title 2](URL2)

Note: This information is from [date/timeframe] and may change.

Search Query Best Practices

  • Keep queries concise and specific (3-8 words ideal)
  • Use natural language, not keyword stuffing
  • Include location when relevant: "restaurants Hamburg"
  • Include timeframe when needed: "iPhone 16 reviews 2024"
  • For prices, include currency/region if specific: "iPhone 16 price Germany"

Troubleshooting

If the wrapper script fails:

  1. Check if you're in the correct directory (should contain scripts/ folder)
  2. Verify the script has execution permissions: chmod +x ./scripts/omnisearch.sh
  3. Try the fallback method (direct mcporter call)
  4. Check if mcporter is properly installed and configured

Common issues:

  • "command not found": Script path is incorrect or you're not in the skill directory
  • "No such file": The script may not have been copied to scripts/ folder yet
  • Empty results: Try different provider or rephrase query

Query formatting:

  • Queries with spaces are automatically handled (no need to escape)
  • Use quotes in the command: ./scripts/omnisearch.sh ai "query with spaces"
  • Special characters should work fine within the quoted string

Important Notes

  • Directory structure: This SKILL.md file is in the omnisearch skill folder, with the script in ./scripts/omnisearch.sh relative to this file
  • Script validation: The wrapper script automatically validates that a query is provided and will show usage help if missing
  • Provider selection:

- Perplexity (default): Best for AI-enhanced results with summarization and context - Brave: Good for privacy-focused, unfiltered web results - Kagi: Premium search with advanced filtering and ranking - Tavily: Optimized for research and comprehensive coverage - Exa: Semantic search with AI-powered relevance

  • This is a LOCAL tool - it runs on this OpenClaw instance
  • ALWAYS run the search immediately when user requests it - don't ask permission
  • The wrapper script (omnisearch.sh) is designed to work reliably even with basic LLMs

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

78.02%
按下载量换算18,509

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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