Agent skill

Web Search

by EXboys in EXboys/skilllite

Web search and content extraction with Tavily and Exa via inference.sh CLI.

MITAuto-check passedProductivity & Automation

Install Web Search

skills CLI
$ npx skills add EXboys/skilllite --skill web-search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install EXboys/skilllite web-search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/EXboys/skilllite.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.skills/web-search .claude/skills/web-search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
web-search
GitHub stars
170
Used in
3 other repos
Token cost
~1k tokens
SKILL.md length
180 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Web search and content extraction with Tavily and Exa via inference.sh CLI.

  • Content aggregation
  • SKILL.md covers Quick Start, Available Apps, Examples and Workflow: Research + LLM, plus 4 more sections
  • Calls npx
  • Tasks that involve Web search

What it does

Web Search is an agent skill from EXboys/skilllite. 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

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Web search. It works with Tavily, Exa and Perplexity. The repository describes itself as: A lightweight secure Self-evolution engine built in Rust, featuring a built-in native system-level sandbox, zero dependencies, and fully local execution. The licence is MIT.

When your agent uses it

  • Content aggregation
  • Tasks that involve Web search

Example prompts

  • “/web-search”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Bash(infsh *)

What it can do on your machine

Read from SKILL.md and the folder at commit 281b368. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(infsh *)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • inference.sh
    • cloud.inference.sh

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Web Search loads about 1k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 180 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from EXboys/skilllite at commit 281b368, republished under its MIT licence (© EXboys). 180 words, ~1,004 tokens.

Download SKILL.mdSave it as .claude/skills/web-search/SKILL.md (or your agent's skills folder).
name
web-search
description
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
allowed-tools
Bash(infsh *)

Web Search & Extraction

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

Image: Web Search & Extraction

Quick Start

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

bash
infsh login

# Search the web
infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'

Available Apps

Tavily
AppApp IDDescription
Search Assistanttavily/search-assistantAI-powered search with answers
Extracttavily/extractExtract content from URLs
Exa
AppApp IDDescription
Searchexa/searchSmart web search with AI
Answerexa/answerDirect factual answers
Extractexa/extractExtract and analyze web content

Examples

bash
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
bash
infsh app run tavily/extract --input '{
  "urls": ["https://example.com/article1", "https://example.com/article2"]
}'

Extracts clean text and images from multiple URLs.

bash
infsh app run exa/search --input '{
  "query": "machine learning frameworks comparison"
}'

Returns highly relevant links with context.

Exa Answer
bash
infsh app run exa/answer --input '{
  "question": "What is the population of Tokyo?"
}'

Returns direct factual answers.

Exa Extract
bash
infsh app run exa/extract --input '{
  "url": "https://example.com/research-paper"
}'

Extracts and analyzes web page content.

Workflow: Research + LLM

bash
# 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

bash
# 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
bash
# 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

© EXboys, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .skills/web-search of EXboys/skilllite.

Open the folder on GitHubat commit 281b368

Used in 3 other repositories

We found 21 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in EXboys/skilllite, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Web Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Web Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Web Search this skillEXboys/skilllite1703 repos~1kAutomated safety check: PassMIT
Keirouter Web Searchmydisha/keirouter147—~771Automated safety check: PassMIT
AI RAG PipelineNeverSight/learn-skills.dev2161 repos~2kAutomated safety check: PassNone
Web Search PlusCraftOS-dev/CraftBot3921 repos~2.4kAutomated safety check: NotesMIT
Web SearchOpenMinis/MinisSkills444—~984Automated safety check: PassMIT
9Router Web Searchdecolua/9router30k—~1kAutomated safety check: PassMIT

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Questions about Web Search

What does Web Search do?

Web search and content extraction with Tavily and Exa via inference.sh CLI. Web Search is an agent skill from EXboys/skilllite.sh CLI.

When should I use Web Search?

Web Search fits situations like: content aggregation; tasks that involve Web search.

How do I install Web Search in Claude Code?

Run `npx skills add EXboys/skilllite --skill web-search -a claude-code`. Or copy the skill folder (.skills/web-search in EXboys/skilllite) into .claude/skills/web-search in your project. Claude Code loads it when a task matches its description.

How do I install Web Search in Codex?

Run `npx skills add EXboys/skilllite --skill web-search -a codex`. Or copy the skill folder (.skills/web-search in EXboys/skilllite) into .agents/skills/web-search in your project. Codex loads it when a task matches its description.

Can I use Web Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add EXboys/skilllite --skill web-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-search, .gemini/skills/web-search, .github/skills/web-search and .opencode/skills/web-search in your project.

What does Web Search need to run?

Going by SKILL.md and its folder, Web Search needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash(infsh *).

Does Web Search access the network?

SKILL.md names 2 domains. As links in the text: inference.sh and cloud.inference.sh. This is read from the text; nothing was executed.

Is Web Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Web Search use?

Web Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Web Search use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Web Search?

Skills that share tags, products or a category with Web Search: Keirouter Web Search (mydisha/keirouter, 147 stars), AI RAG Pipeline (NeverSight/learn-skills.dev, 216 stars), Web Search Plus (CraftOS-dev/CraftBot, 392 stars) and Web Search (OpenMinis/MinisSkills, 444 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Web Search?

EXboys (a GitHub user) maintains it in EXboys/skilllite, which has 170 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 25, 2026.

Source: EXboys/skilllite on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.