How do I install the Search skill?

Run npx skillmds@latest add mokbhai/search 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 Search safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with 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 Search free to use?

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

Who published Search?

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

Search by mokbhai — Agent Skill

Name: Search
Rating: 4.2 (5 reviews)
Author: mokbhai

Private web search and URL content fetching using local SearXNG-based scripts. Use this skill whenever the user asks to search the web, look something up online, find information on the internet, Google something, research a topic online, check what the internet says about X, or fetch/read a web page's content. Also use when the user provides a URL and asks what's on it or wants a summary. This replaces WebSearch, WebFetch, mcp__web_reader__webReader, and any other MCP-based web tools — always prefer these scripts over built-in web tools. Trigger on phrases like "search for", "look up", "find online", "google", "what does the internet say", "search the web", "check online", "fetch this URL", "read this page", "what's on this link".

mokbhai Updated Sep 10, 2026

File contents

Web Search Skill

Search the web and fetch URL content using private, self-hosted scripts. No external APIs or MCP tools needed.

When to use

Any time you need information from the web — searching for something, looking up a topic, fetching a page's content. Always use these scripts instead of WebSearch, WebFetch, or MCP web tools.

Tools

The scripts live under ~/.claude/skills/search/scripts/. There are two main tools:

1. Search the web

python3 "~/.claude/skills/search/scripts/search.py" "your search query"

Options:

--json — raw JSON output
--num N — limit to N results (default 10)

Returns a list of results with title, URL, and snippet for each.

2. Fetch a URL's content

python3 "~/.claude/skills/search/scripts/fetch_url.py" "https://example.com/page"

Options:

--json — raw JSON output
--timeout N — timeout in seconds (default 30)

Returns the page's full text content plus metadata (title, author, publish date, word count).

How to search

Formulate a good query. Be specific. Include key terms, dates, or context that narrow the results.
Run the search. Use the search.py script. Read the output — you'll get titles, URLs, and snippets.
Fetch relevant pages. If a result looks promising, use fetch_url.py to get the full content. Focus on the top 2-3 most relevant results rather than fetching everything.
Synthesize. Combine information from multiple sources. Always cite the URL you got the information from.

Examples

Basic search:

User: "search for latest Claude 4 release date"
→ python3 "~/.claude/skills/search/scripts/search.py" "Claude 4 Anthropic release date 2026"

Research a topic:

User: "what's the current state of WebAssembly?"
→ python3 "~/.claude/skills/search/scripts/search.py" "WebAssembly current state 2026"
→ Then fetch the most relevant results to get detailed content

Fetch a specific page:

User: "can you read https://example.com/article and summarize it?"
→ python3 "~/.claude/skills/search/scripts/fetch_url.py" "https://example.com/article"
→ Summarize the content

Look up documentation:

User: "find the React 19 docs on use()"
→ python3 "~/.claude/skills/search/scripts/search.py" "React 19 use() hook documentation"
→ Fetch the most relevant result

Tips

Run searches with --json if you need to programmatically parse results.
For time-sensitive queries, include the year or "latest" in the search.
If search results aren't great, try rephrasing the query with different keywords.
When fetching pages, the script handles Reddit (via JSON API), Hacker News, and falls back to Puppeteer for JS-heavy sites automatically.

---name: searchdescription: Private web search and URL content fetching using local SearXNG-based scripts. Use this skill whenever the user asks to search the web, look something up online, find information on the internet, Google something, research a topic online, check what the internet says about X, or fetch/read a web page's content. Also use when the user provides a URL and asks what's on it or wants a summary. This replaces WebSearch, WebFetch, mcp__web_reader__webReader, and any other MCP-based web tools — always prefer these scripts over built-in web tools. Trigger on phrases like "search for", "look up", "find online", "google", "what does the internet say", "search the web", "check online", "fetch this URL", "read this page", "what's on this link".---# Web Search SkillSearch the web and fetch URL content using private, self-hosted scripts. No external APIs or MCP tools needed.## When to useAny time you need information from the web — searching for something, looking up a topic, fetching a page's content. Always use these scripts instead of WebSearch, WebFetch, or MCP web tools.## ToolsThe scripts live under `~/.claude/skills/search/scripts/`. There are two main tools:### 1. Search the web```bashpython3 "~/.claude/skills/search/scripts/search.py" "your search query"```Options:- `--json` — raw JSON output- `--num N` — limit to N results (default 10)Returns a list of results with title, URL, and snippet for each.### 2. Fetch a URL's content```bashpython3 "~/.claude/skills/search/scripts/fetch_url.py" "https://example.com/page"```Options:- `--json` — raw JSON output- `--timeout N` — timeout in seconds (default 30)Returns the page's full text content plus metadata (title, author, publish date, word count).## How to search1. **Formulate a good query.** Be specific. Include key terms, dates, or context that narrow the results.2. **Run the search.** Use the search.py script. Read the output — you'll get titles, URLs, and snippets.3. **Fetch relevant pages.** If a result looks promising, use fetch_url.py to get the full content. Focus on the top 2-3 most relevant results rather than fetching everything.4. **Synthesize.** Combine information from multiple sources. Always cite the URL you got the information from.## Examples**Basic search:**```User: "search for latest Claude 4 release date"→ python3 "~/.claude/skills/search/scripts/search.py" "Claude 4 Anthropic release date 2026"```**Research a topic:**```User: "what's the current state of WebAssembly?"→ python3 "~/.claude/skills/search/scripts/search.py" "WebAssembly current state 2026"→ Then fetch the most relevant results to get detailed content```**Fetch a specific page:**```User: "can you read https://example.com/article and summarize it?"→ python3 "~/.claude/skills/search/scripts/fetch_url.py" "https://example.com/article"→ Summarize the content```**Look up documentation:**```User: "find the React 19 docs on use()"→ python3 "~/.claude/skills/search/scripts/search.py" "React 19 use() hook documentation"→ Fetch the most relevant result```## Tips- Run searches with `--json` if you need to programmatically parse results.- For time-sensitive queries, include the year or "latest" in the search.- If search results aren't great, try rephrasing the query with different keywords.- When fetching pages, the script handles Reddit (via JSON API), Hacker News, and falls back to Puppeteer for JS-heavy sites automatically.

Frequently asked questions

Search