W

web-search

by @inferen-shv
4.8(422)

データ分析分野のウェブ検索に特化し、API呼び出しを通じてAgentに強力なウェブ情報取得機能を提供し、データインサイトを支援します。

Web SearchInformation RetrievalSearch EnginesData CollectionOSINTGitHub
インストール方法
npx skills add inferen-sh/skills --skill web-search
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Before / After 効果比較

1
使用前

複数の検索エンジンに手動でキーワードを入力し、リンクを一つずつクリックして情報を絞り込むのに多大な時間を費やし、重要な内容を見落とす可能性があります。

使用後

スマートエージェントを通じて `web-search` スキルをワンクリックで呼び出すことで、関連情報を迅速に集約し、時間を節約し、情報取得の網羅性と正確性を向上させます。

description 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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統計データ

インストール数16.7K
評価4.8 / 5.0
バージョン
更新日2026年3月17日
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対応プラットフォーム

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

タイムライン

作成2026年3月17日
最終更新2026年3月17日