Web Search

Name: Web Search
Author: inferen-sh

146

This skill enables web search and content extraction using the inference.sh CLI, with capabilities for querying information, extracting content from URLs, and providing AI-generated answers. It is suitable for users conducting research, content aggregation, fact-checking, or building AI agents that require web data. Key features include integrations with various AI models, tools for image and video generation, and workflows for summarizing and analyzing web content.

npx skills add https://github.com/inferen-sh/skills --skill web-search

Web Search & Extraction

Search the web and extract content via inference.sh CLI. Web Search & Extraction

Quick Start

Requires inference.sh CLI (infsh). Get installation instructions: npx skills add inference-sh/skills@agent-tools

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

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

Adding Tools to Agents - Equip agents with search
Building a Research Agent - LLM + search integration guide
Tool Integration Tax - Why pre-built tools matter

GitHub Owner

Owner: inferen-sh