multi-search-engine

v2.0.1

Build auditable search URLs across Chinese and global engines with region/language filters, advanced operators, time scopes, privacy-first options, compare m...

0· 487· 1 versions· 4 current· 4 all-time· Updated 1mo ago· MIT-0
byvx:17605205782@52yuanchangxing

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

Version tags

latestvk970xdr1pmsj3ycte1q09x904582sqpzmulti-search-enginevk970xdr1pmsj3ycte1q09x904582sqpz

Runtime requirements

🔎 Clawdis
Binspython3
Configconfig.json, resources/engine-catalog.json