Home/Data Analysis/web-search
W

web-search

by @inferen-shv
4.6(668)

Focuses on web search in the data analysis domain, providing Agents with powerful web information retrieval capabilities via API calls to assist with data insights.

web-searchinformation-retrievalsearch-enginesdata-collectionosintGitHub
Installation
npx skills add inferen-sh/skills --skill web-search
compare_arrows

Before / After Comparison

1
Before

Manually entering keywords into multiple search engines, clicking links one by one, consumes a lot of time sifting through information, and may miss important content.

After

By using a smart agent to invoke the `web-search` skill with a single click, relevant information is quickly aggregated, saving time and improving the comprehensiveness and accuracy of information retrieval.

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

User Reviews (0)

Write a Review

Effect
Usability
Docs
Compatibility

No reviews yet

Statistics

Installs28.9K
Rating4.6 / 5.0
Version
Updated2026年5月9日
Comparisons1

User Rating

4.6(668)
5
77%
4
23%
3
0%
2
0%
1
0%

Rate this Skill

0.0

Compatible Platforms

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

Timeline

Created2026年3月17日
Last Updated2026年5月9日