How do I install the Web Search skill?

Run npx skillmds@latest add kbarbel640-del/web-search-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Web Search safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: CAUTION, Skill Scanner: WARNING. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Web Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Web Search free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Web Search?

kbarbel640-del (@kbarbel640-del) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Web Search by kbarbel640-del — Agent Skill

Name: Web Search
Author: kbarbel640-del

Web Search

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

kbarbel640-del Updated Sep 21, 2026 1 repo stars

File contents

Web Search & Extraction

Search the web and extract content via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && 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/agent-skills@inference-sh

# LLM models (combine with search for RAG)
npx skills add inference-sh/agent-skills@llm-models

# Image generation
npx skills add inference-sh/agent-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

---name: web-search-2description: 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---# Web Search & ExtractionSearch the web and extract content via [inference.sh](https://inference.sh) CLI.## Quick Start```bashcurl -fsSL https://cli.inference.sh | sh && infsh login# Search the webinfsh 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```bashinfsh 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```bashinfsh app run tavily/extract --input '{ "urls": ["https://example.com/article1", "https://example.com/article2"]}'```Extracts clean text and images from multiple URLs.### Exa Search```bashinfsh app run exa/search --input '{ "query": "machine learning frameworks comparison"}'```Returns highly relevant links with context.### Exa Answer```bashinfsh app run exa/answer --input '{ "question": "What is the population of Tokyo?"}'```Returns direct factual answers.### Exa Extract```bashinfsh app run exa/extract --input '{ "url": "https://example.com/research-paper"}'```Extracts and analyzes web page content.## Workflow: Research + LLM```bash# 1. Search for informationinfsh app run tavily/search-assistant --input '{ "query": "latest developments in quantum computing"}' > search_results.json# 2. Analyze with Claudeinfsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "Based on this research, summarize the key trends: <search-results>"}'```## Workflow: Extract + Summarize```bash# 1. Extract content from URLinfsh app run tavily/extract --input '{ "urls": ["https://example.com/long-article"]}' > content.json# 2. Summarize with LLMinfsh 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```bash# Full platform skill (all 150+ apps)npx skills add inference-sh/agent-skills@inference-sh# LLM models (combine with search for RAG)npx skills add inference-sh/agent-skills@llm-models# Image generationnpx skills add inference-sh/agent-skills@ai-image-generation```Browse all apps: `infsh app list`## Documentation- [Adding Tools to Agents](https://inference.sh/docs/agents/adding-tools) - Equip agents with search- [Building a Research Agent](https://inference.sh/blog/guides/research-agent) - LLM + search integration guide- [Tool Integration Tax](https://inference.sh/blog/tools/integration-tax) - Why pre-built tools matter

Frequently asked questions