
Web Search
- 26 installs
- Updated January 1, 1970
- inference-sh/agent-skills
Enable agents to search the web, retrieve information from online sources, and integrate web results into agent workflows.
About
An agent skill for web search and information retrieval. Developers use this to enable agents to search the internet, gather real-time information, and integrate web results into their agentic workflows.
- Agent web search
- Information retrieval
- External knowledge access
Web Search by the numbers
- 26 all-time installs (skills.sh)
- Ranked #9,702 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/inference-sh/agent-skills --skill web-searchAdd your badge
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| Installs | 26 |
|---|---|
| Last updated | January 1, 1970 |
| Repository | inference-sh/agent-skills ↗ |
What it does
Enable agents to search the web, retrieve information from online sources, and integrate web results into agent workflows.
Files
Web Search & Extraction
Search the web and extract content via inference.sh CLI.

Quick Start
Requires inference.sh CLI (infsh). Install instructionsinfsh 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 250+ 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-generationBrowse 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