multi-search-engine

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name: multi-search-engine description: Build auditable search URLs across Chinese and global engines with region/language filters, advanced operators, time scopes, privacy-first options, compare mode, and no API keys. version: 2.1.0 metadata: openclaw: requires: bins: - python3 config: - config.json - resources/engine-catalog.json install: [] emoji: "🔎" homepage: https://clawhub.com/skills/multi-search-engine

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Multi Search Engine v2.1.0

A search orchestration skill for OpenClaw that helps the agent choose engines, build safe search URLs, compare results across engines, and explain why a given engine is appropriate.

This version turns the skill from a static engine list into a reusable toolkit with:

engine aliases and region-aware selection

advanced operator composition (site:, filetype:, exact phrase, exclusion, OR groups)

time scopes where the engine supports them

compare mode for multi-engine research

privacy-first presets

command-line helper script that outputs json, markdown, or plain text

explicit safety guidance for direct web access

When to use this skill

Use this skill when the user wants to:

1. search the same query on multiple engines 2. bias toward Chinese vs global engines 3. use privacy-first engines 4. build advanced search operators reliably 5. compare engine coverage before opening pages 6. prepare direct web_fetch or browser URLs without needing an API key

Recommended workflow

1. Normalize the user's research intent: - broad web search - China-focused search - privacy-first search - docs / code / paper / file search - calculation / fact query

2. Pick engines deliberately: - China / local web: Baidu, Sogou, 360, Toutiao, WeChat - Global general: Google, Bing INT, Brave, Yahoo - Privacy-first: DuckDuckGo, Startpage, Brave, Qwant - Knowledge / computation: WolframAlpha - Community / niche finance: Jisilu

3. Build the query using operators only when they help: - site: for source restriction - filetype: for PDFs / docs - quotes for exact phrase - -term for exclusion - OR for alternatives

4. Prefer compare mode for research-sensitive tasks: - one privacy engine - one mainstream engine - one region-specific engine if relevant

5. Open only the most promising result pages after inspecting generated URLs.

Direct script usage

python3 scripts/build_search_urls.py --query "openclaw skills" --engine google
python3 scripts/build_search_urls.py --query "量化投资" --preset cn-research --time week --format markdown
python3 scripts/build_search_urls.py --query "react hooks" --site github.com --exact "useEffect" --compare google,ddg,brave
python3 scripts/build_search_urls.py --query "100 USD to CNY" --engine wolframalpha --format json

Typical OpenClaw usage

User asks for recent AI papers as PDFs
→ build a Google / Brave compare query
→ add filetype:pdf and time scope
→ inspect URLs before opening pages

Security and privacy

This skill does not require API keys.

It does not execute remote code.

It only generates deterministic search URLs from local templates.

Network access happens only when the agent explicitly opens the generated URLs.

Search engines may log requests; use privacy presets when that matters.

Files

SKILL.md — primary instructions and metadata

README.md — install, scenarios, examples, FAQ, risks

scripts/build_search_urls.py — URL builder and compare helper

resources/engine-catalog.json — engine definitions, aliases, capabilities

resources/search-operator-cheatsheet.md — operator reference

examples/example-prompt.md — prompt patterns for agents

tests/smoke-test.md — manual smoke coverage

SELF_CHECK.md — self-audit and release checklist