W

web-search

by @inferen-shv
4.6(668)

专注于数据分析领域的网络搜索,通过调用API,为Agent提供强大的网页信息获取能力,辅助数据洞察。

web-searchinformation-retrievalsearch-enginesdata-collectionosintGitHub
安装方式
npx skills add inferen-sh/skills --skill web-search
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Before / After 效果对比

1
使用前

手动在多个搜索引擎中输入关键词,逐个点击链接,耗费大量时间筛选信息,且可能遗漏重要内容。

使用后

通过智能代理一键调用 `web-search` 技能,快速聚合相关信息,节省时间并提高信息获取的全面性和准确性。

SKILL.md

web-search

Web Search & Extraction

Search the web and extract content via inference.sh CLI.

Quick Start

Requires inference.sh CLI (infsh). Install instructions

infsh login

# Search the web
infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'

Available Apps

Tavily

App App ID Description

Search Assistant tavily/search-assistant AI-powered search with answers

Extract tavily/extract Extract content from URLs

Exa

App App ID Description

Search exa/search Smart web search with AI

Answer exa/answer Direct factual answers

Extract exa/extract Extract and analyze web content

Examples

Tavily Search

infsh app run tavily/search-assistant --input '{
  "query": "What are the best practices for building AI agents?"
}'

Returns AI-generated answers with sources and images.

Tavily Extract

infsh app run tavily/extract --input '{
  "urls": ["https://example.com/article1", "https://example.com/article2"]
}'

Extracts clean text and images from multiple URLs.

Exa Search

infsh app run exa/search --input '{
  "query": "machine learning frameworks comparison"
}'

Returns highly relevant links with context.

Exa Answer

infsh app run exa/answer --input '{
  "question": "What is the population of Tokyo?"
}'

Returns direct factual answers.

Exa Extract

infsh app run exa/extract --input '{
  "url": "https://example.com/research-paper"
}'

Extracts and analyzes web page content.

Workflow: Research + LLM

# 1. Search for information
infsh app run tavily/search-assistant --input '{
  "query": "latest developments in quantum computing"
}' > search_results.json

# 2. Analyze with Claude
infsh app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Based on this research, summarize the key trends: <search-results>"
}'

Workflow: Extract + Summarize

# 1. Extract content from URL
infsh app run tavily/extract --input '{
  "urls": ["https://example.com/long-article"]
}' > content.json

# 2. Summarize with LLM
infsh app run openrouter/claude-haiku-45 --input '{
  "prompt": "Summarize this article in 3 bullet points: <content>"
}'

Use Cases

  • Research: Gather information on any topic

  • RAG: Retrieval-augmented generation

  • Fact-checking: Verify claims with sources

  • Content aggregation: Collect data from multiple sources

  • Agents: Build research-capable AI agents

Related Skills

# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@infsh-cli

# LLM models (combine with search for RAG)
npx skills add inference-sh/skills@llm-models

# Image generation
npx skills add inference-sh/skills@ai-image-generation

Browse all apps: infsh app list

Documentation

Weekly Installs9.4KRepositoryinferen-sh/skillsGitHub Stars159First Seen6 days agoSecurity AuditsGen Agent Trust HubPassSocketWarnSnykWarnInstalled onclaude-code7.1Kgemini-cli6.8Kcodex6.8Kamp6.8Kopencode6.8Kgithub-copilot6.8K

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统计数据

安装量28.9K
评分4.6 / 5.0
版本
更新日期2026年5月9日
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4.6(668)
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4
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0.0

兼容平台

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

时间线

创建2026年3月17日
最后更新2026年5月9日