Agent skill

Web Search

by OpenMinis in OpenMinis/MinisSkills

General web search skill that uses browser automation with multiple search engines and selects the priority chain based on search intent.

MITAuto-check passedProductivity & Automation

Install Web Search

skills CLI
$ npx skills add OpenMinis/MinisSkills --skill web-search -a claude-code

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

GitHub CLI
$ gh skill install OpenMinis/MinisSkills 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/OpenMinis/MinisSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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
444
Token cost
~984 tokens
SKILL.md length
418 words
Files
3 (incl. scripts)
Skills in repo
49
Repo updated
First seen
Licence
MIT

At a glance

General web search skill that uses browser automation with multiple search engines and selects the priority chain based on search intent.

  • Works in 7 steps: Infer search intent from the user request. → Select the matching priority chain. → Try the first engine. → …
  • The user mentions web search
  • SKILL.md covers When to use, Search engines, Intent-based priority chains and Fallback rules, plus 4 more sections
  • Runs Python scripts from its folder; reaches perplexity.ai and metaso.cn

What it does

Web Search is an agent skill from OpenMinis/MinisSkills. General web search skill that uses browser automation with multiple search engines and selects the priority chain based on search intent. Supports: Perplexity, Metaso AI, Google, Bing, Brave, DuckDuckGo, Baidu, Sogou, Tavily. Trigger when the user mentions "web search," "search for it," "search this for me," "look it up online," "search engine," or needs real-time information from the internet.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `evals/evals.json` and `scripts/browser_search.py`). Compatibility notes: browseruse tool required; optional login for Perplexity; no API key required for browser-based engines

It sits in Productivity & Automation, covering Web search. It works with Perplexity and Tavily. The repository describes itself as: Skills collection for Minis. The licence is MIT.

When your agent uses it

  • The user mentions web search
  • Search this for me
  • Look it up online
  • Needs real-time information from the internet

Example prompts

  • “web search,”
  • “search for it,”
  • “search this for me,”
  • “/web-search”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): browser_use tool required; optional login for Perplexity; no API key required for browser-based engines

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Infer search intent from the user request.
  2. Select the matching priority chain.
  3. Try the first engine.
  4. Extract text with browser tools.
  5. Check success criteria.
  6. If blocked or poor, switch to the next engine.
  7. Return the first good result, and optionally add a second source for comparison.

What it can do on your machine

Read from SKILL.md and the folder at commit ae8c5db. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • perplexity.ai
    • metaso.cn
    • google.com
    • bing.com
    • search.brave.com
    • html.duckduckgo.com
    • baidu.com
    • sogou.com

    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.

  • Compatibility

    browser_use tool required; optional login for Perplexity; no API key required for browser-based engines

    From compatibility in the SKILL.md frontmatter.

Context cost

Web Search loads about 984 tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 418 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~984

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); the scripts in this folder are not scanned.

SKILL.md

The full file from OpenMinis/MinisSkills at commit ae8c5db, republished under its MIT licence (© OpenMinis). 418 words, ~984 tokens.

Download SKILL.mdSave it as .claude/skills/web-search/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
web-search
description
General web search skill that uses browser automation with multiple search engines and selects the priority chain based on search intent. Supports: Perplexity, Metaso AI, Google, Bing, Brave, DuckDuckGo, Baidu, Sogou, Tavily. Trigger when the user mentions "web search," "search for it," "search this for me," "look it up online," "search engine," or needs real-time information from the internet.
compatibility
browser_use tool required; optional login for Perplexity; no API key required for browser-based engines

Use browser automation to search the web through multiple engines, then fall back automatically when one engine is blocked, logged out, or returns poor results.

When to use

Activate this skill when the user wants:

  • real-time web search
  • search engine results instead of model memory
  • Chinese web search or structured AI answers
  • engine-specific search (Google / Bing / Brave / Perplexity / Metaso AI)
  • fallback behavior across multiple search engines

Search engines

EngineURL patternStrengthNotes
Perplexityhttps://www.perplexity.ai/search?q={query}Highest answer qualityNeeds login once
Metaso AIhttps://metaso.cn/Strong Chinese resultsHome page interaction may be needed
Googlehttps://www.google.com/search?q={query}Best general web coverageStable fallback
Binghttps://www.bing.com/search?q={query}Good Chinese + AI summaryStable fallback
Bravehttps://search.brave.com/search?q={query}Privacy-friendlyGood backup
DuckDuckGohttps://html.duckduckgo.com/html/?q={query}Lightweight privacy searchMay show anomaly pages
Baiduhttps://www.baidu.com/s?wd={query}Strong Chinese indexUse for Chinese web results
Sogouhttps://www.sogou.com/web?query={query}Chinese / WeChat-heavy resultsSecondary Chinese backup
TavilyAPI-basedAgent-orientedRequires API key

Intent-based priority chains

Choose the search chain by user intent.

Deep research / comparison / trend analysis

Perplexity -> Metaso AI -> Bing -> Google -> Brave

Chinese search / Chinese summary / local context

Metaso AI -> Perplexity -> Baidu -> Bing -> Google

General web search / official site / original page lookup

Google -> Bing -> Brave -> DuckDuckGo

Brave -> DuckDuckGo -> Bing

Fallback rules

Immediately switch to the next engine when any of these happens:

  • login expired
  • captcha / verification / blocked / robot / abnormal traffic
  • empty result page
  • redirected back to the home page
  • page structure is broken and no useful text can be extracted
  • only input box is visible with no actual results
Show full SKILL.md (170 more words)Show less

Success criteria

Treat a search as successful when at least two of these are true:

  • the page title or URL clearly indicates a result page
  • extracted text is non-empty and contains meaningful results
  • there are structured answers, result lists, citations, or related questions
  • the content is clearly not just the search homepage

Execution flow

  1. Infer search intent from the user request.
  2. Select the matching priority chain.
  3. Try the first engine.
  4. Extract text with browser tools.
  5. Check success criteria.
  6. If blocked or poor, switch to the next engine.
  7. Return the first good result, and optionally add a second source for comparison.

Scripts

  • scripts/browser_search.py - generate engine priority plans and fallback chains
  • evals/evals.json - prompt coverage for the main routing scenarios

Notes

  • Prefer Perplexity for best answer quality when login is valid.
  • Prefer Metaso AI for Chinese structured answers.
  • Prefer Google/Bing for finding original pages and official websites.
  • Use Brave/DuckDuckGo as privacy-oriented backups.
  • Do not rely on a single engine; fallback is part of the skill design.

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

Files

SKILL.md and 2 other files (scripts) in web-search of OpenMinis/MinisSkills.

  • SKILL.md
  • evals/evals.json
  • scripts/browser_search.py

Open the folder on GitHubat commit ae8c5db

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 skillOpenMinis/MinisSkills444—~984Automated safety check: PassMIT
Web SearchEXboys/skilllite1703 repos~1kAutomated safety check: PassMIT
Keirouter Web Searchmydisha/keirouter147—~771Automated safety check: PassMIT
Web Search PlusCraftOS-dev/CraftBot3921 repos~2.4kAutomated safety check: NotesMIT
9Router Web Searchdecolua/9router30k—~1kAutomated safety check: PassMIT
Mysearchskernelx/MySearch-Proxy159—~3kAutomated safety check: NotesNone

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Questions about Web Search

What does Web Search do?

General web search skill that uses browser automation with multiple search engines and selects the priority chain based on search intent. Web Search is an agent skill from OpenMinis/MinisSkills. General web search skill that uses browser automation with multiple search engines and selects the priority chain based on search intent.

When should I use Web Search?

Web Search fits situations like: the user mentions web search; search this for me; look it up online; needs real-time information from the internet.

How do I install Web Search in Claude Code?

Run `npx skills add OpenMinis/MinisSkills --skill web-search -a claude-code`. Or copy the skill folder (web-search in OpenMinis/MinisSkills) 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 OpenMinis/MinisSkills --skill web-search -a codex`. Or copy the skill folder (web-search in OpenMinis/MinisSkills) 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 OpenMinis/MinisSkills --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 Python for the scripts in its folder. Our summary lists: Python 3. Compatibility (from SKILL.md): browser_use tool required; optional login for Perplexity; no API key required for browser-based engines.

Does Web Search access the network?

SKILL.md names 8 domains. In commands or code: perplexity.ai, metaso.cn, google.com, bing.com, search.brave.com, html.duckduckgo.com, baidu.com and sogou.com; the agent is likely to contact these when it follows the instructions. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

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 984 tokens (SKILL.md is roughly 3.9k 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: Web Search (EXboys/skilllite, 170 stars), Keirouter Web Search (mydisha/keirouter, 147 stars), Web Search Plus (CraftOS-dev/CraftBot, 392 stars) and 9Router Web Search (decolua/9router, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Web Search?

OpenMinis (a GitHub organization) maintains it in OpenMinis/MinisSkills, which has 444 GitHub stars. The repository holds 49 skills in this directory. The repository was last updated on October 7, 2026.

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