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Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
npx skill4agent add inference-sh-9/skills web-search
curl -fsSL https://cli.inference.sh | sh && infsh login
# Search the web
infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'Install note: The install script only detects your OS/architecture, downloads the matching binary from, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.dist.inference.sh
| App | App ID | Description |
|---|---|---|
| Search Assistant | | AI-powered search with answers |
| Extract | | Extract content from URLs |
| App | App ID | Description |
|---|---|---|
| Search | | Smart web search with AI |
| Answer | | Direct factual answers |
| Extract | | Extract and analyze web content |
infsh app run tavily/search-assistant --input '{
"query": "What are the best practices for building AI agents?"
}'infsh app run tavily/extract --input '{
"urls": ["https://example.com/article1", "https://example.com/article2"]
}'infsh app run exa/search --input '{
"query": "machine learning frameworks comparison"
}'infsh app run exa/answer --input '{
"question": "What is the population of Tokyo?"
}'infsh app run exa/extract --input '{
"url": "https://example.com/research-paper"
}'# 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>"
}'# 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>"
}'# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@inference-sh
# 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-generationinfsh app list