About web-search
web-search is an inference.sh skill for searching the web and extracting page content through the belt CLI. It offers Tavily and Exa apps for sourced search results, direct answers, and URL extraction, supporting research and fact-checking workflows.
Key features
- 01Search with Tavily and Exa
- 02Extract text and images from URLs
- 03Get answers with sources
- 04Analyze extracted web content
Use cases
- 01Research a topic across the web
- 02Verify claims against sources
- 03Collect content from multiple URLs
- 04Provide search tools to AI agents
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ bankai-skills/ superpowers --skill web-searchAfter installing, type/web-searchin Claude Code to confirm it loaded.
Details
From the project READMEInstall the belt CLI skill:
npx skills add belt-sh/cli
Web Search & Extraction
Search the web and extract content via inference.sh CLI.

Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
# Search the web
belt 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
belt 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
belt app run tavily/extract --input '{
"urls": ["https://example.com/article1", "https://example.com/article2"]
}'
Extracts clean text and images from multiple URLs.
Exa Search
belt app run exa/search --input '{
"query": "machine learning frameworks comparison"
}'
Returns highly relevant links with context.
Exa Answer
belt app run exa/answer --input '{
"question": "What is the population of Tokyo?"
}'
Returns direct factual answers.
Exa Extract
belt app run exa/extract --input '{
"url": "https://example.com/research-paper"
}'
Extracts and analyzes web page content.
Workflow: Research + LLM
# 1. Search for information
belt app run tavily/search-assistant --input '{
"query": "latest developments in quantum computing"
}' > search_results.json
# 2. Analyze with Claude
belt 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
belt app run tavily/extract --input '{
"urls": ["https://example.com/long-article"]
}' > content.json
# 2. Summarize with LLM
belt 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 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: belt 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