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multi-search-engine

Name: Multi Search Engine
Author: opensquilla

// Query the web through multiple search engines (Brave, Tavily, SerpAPI, DuckDuckGo, Bing, Baidu, Sogou, 360) with a single CLI surface. Trigger when the user asks for a research search, fact lookup, source discovery, or wants to compare engines for coverage. The skill aggregates per-engine result lists and normalizes them into a uniform JSON shape for downstream skills (deep-research is the primary consumer). API-key engines gate themselves on the relevant environment variable; engines requiring no key always run.

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stars:2 159

forks:147

updated:6 mai 2026 à 22:15

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4 fichiers

SKILL.md

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name	multi-search-engine
description	Query the web through multiple search engines (Brave, Tavily, SerpAPI, DuckDuckGo, Bing, Baidu, Sogou, 360) with a single CLI surface. Trigger when the user asks for a research search, fact lookup, source discovery, or wants to compare engines for coverage. The skill aggregates per-engine result lists and normalizes them into a uniform JSON shape for downstream analysis. API-key engines gate themselves on the relevant environment variable; engines requiring no key always run.
homepage
provenance	{"origin":"clawhub-mit0","license":"MIT-0","upstream_url":"https://clawhub.ai/multi-search-engine","maintained_by":"OpenSquilla"}
metadata	{"platform":{"emoji":"🔍","requires":{"anyBins":["python","python3"]}}}

multi-search-engine

A unified CLI for querying several web search engines in parallel and returning a normalized result list. Built on httpx and beautifulsoup4 (both already in OpenSquilla default dependencies, so no extra install beyond pip install opensquilla).

When to use

Broad source discovery where you want diverse engine coverage
Fact-check a claim against >1 engine
Compare what Bing returns vs DuckDuckGo for the same query
Search Chinese-language sources via Baidu/Sogou/360 alongside global engines

When NOT to use

A single engine is sufficient — call its API directly
The user wants headless-browser-driven scraping with full DOM rendering — this skill is HTTP-only

Quick start

python {baseDir}/scripts/search.py \
    --query "openclaw skill registry" \
    --engines duckduckgo,brave \
    --limit 10 \
    --json

Output:

{
  "query": "...",
  "results": [
    {
      "engine": "duckduckgo",
      "title": "...",
      "url": "https://...",
      "snippet": "...",
      "rank": 1
    }
  ],
  "errors": [
    {"engine": "brave", "reason": "BRAVE_API_KEY not set; skipping"}
  ]
}

Engines

Engine	Needs key	Key env var	Strength
`duckduckgo`	no	—	Privacy-friendly, no rate limit by default
`bing`	no	—	HTML scrape; respect rate limits
`baidu`	no	—	Chinese-language web
`sogou`	no	—	Chinese-language web
`360`	no	—	Chinese-language web
`brave`	yes	`BRAVE_API_KEY`	High-quality results, generous free tier
`tavily`	yes	`TAVILY_API_KEY`	Designed for AI agents, returns clean JSON
`serpapi`	yes	`SERPAPI_API_KEY`	Aggregator across many engines

The script never errors out when an API-key engine's key is missing — it records a per-engine errors entry and continues with the rest. Pass --strict to fail fast when any requested engine is unavailable.

Routing tips

The host should pick engines by language and availability:

English queries → duckduckgo, brave, bing (one or two for triangulation)
Chinese queries → baidu plus optionally sogou for cross-check
Time-sensitive (last 24h) → brave (recency filter) or tavily
Long-tail academic → fall back to direct arXiv / Google Scholar; this skill targets general web search

engines.md has the full per-engine guidance.

Boundaries

HTTP-only. JS-rendered pages will not be readable; use a headless-browser skill if needed.
Scraping engines (DuckDuckGo, Bing, Baidu, Sogou, 360) are best-effort — HTML structure changes break them. The script logs parse failures individually and keeps the run going.
Rate limiting is not handled inside the script. Calling the same engine 10x/sec from a loop will get blocked. Add jitter and back-off in the caller.
Captcha-protected results are not bypassed. If an engine returns a challenge page, the parser will return zero results for that engine and log a warning.

related-skills.json

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Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

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deep-research.md

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package.json

"author": "opensquilla"

"repository": "opensquilla/opensquilla"

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$ install --global

$ download --local

Exécuter dans Manus

name	multi-search-engine
description	Query the web through multiple search engines (Brave, Tavily, SerpAPI, DuckDuckGo, Bing, Baidu, Sogou, 360) with a single CLI surface. Trigger when the user asks for a research search, fact lookup, source discovery, or wants to compare engines for coverage. The skill aggregates per-engine result lists and normalizes them into a uniform JSON shape for downstream analysis. API-key engines gate themselves on the relevant environment variable; engines requiring no key always run.
homepage
provenance	{"origin":"clawhub-mit0","license":"MIT-0","upstream_url":"https://clawhub.ai/multi-search-engine","maintained_by":"OpenSquilla"}
metadata	{"platform":{"emoji":"🔍","requires":{"anyBins":["python","python3"]}}}

multi-search-engine

When to use

Broad source discovery where you want diverse engine coverage
Fact-check a claim against >1 engine
Compare what Bing returns vs DuckDuckGo for the same query
Search Chinese-language sources via Baidu/Sogou/360 alongside global engines

When NOT to use

A single engine is sufficient — call its API directly
The user wants headless-browser-driven scraping with full DOM rendering — this skill is HTTP-only

Quick start

python {baseDir}/scripts/search.py \
    --query "openclaw skill registry" \
    --engines duckduckgo,brave \
    --limit 10 \
    --json

Output:

{
  "query": "...",
  "results": [
    {
      "engine": "duckduckgo",
      "title": "...",
      "url": "https://...",
      "snippet": "...",
      "rank": 1
    }
  ],
  "errors": [
    {"engine": "brave", "reason": "BRAVE_API_KEY not set; skipping"}
  ]
}

Engines

Engine	Needs key	Key env var	Strength
`duckduckgo`	no	—	Privacy-friendly, no rate limit by default
`bing`	no	—	HTML scrape; respect rate limits
`baidu`	no	—	Chinese-language web
`sogou`	no	—	Chinese-language web
`360`	no	—	Chinese-language web
`brave`	yes	`BRAVE_API_KEY`	High-quality results, generous free tier
`tavily`	yes	`TAVILY_API_KEY`	Designed for AI agents, returns clean JSON
`serpapi`	yes	`SERPAPI_API_KEY`	Aggregator across many engines

Routing tips

The host should pick engines by language and availability:

English queries → duckduckgo, brave, bing (one or two for triangulation)
Chinese queries → baidu plus optionally sogou for cross-check
Time-sensitive (last 24h) → brave (recency filter) or tavily
Long-tail academic → fall back to direct arXiv / Google Scholar; this skill targets general web search

engines.md has the full per-engine guidance.

Boundaries

HTTP-only. JS-rendered pages will not be readable; use a headless-browser skill if needed.
Scraping engines (DuckDuckGo, Bing, Baidu, Sogou, 360) are best-effort — HTML structure changes break them. The script logs parse failures individually and keeps the run going.
Rate limiting is not handled inside the script. Calling the same engine 10x/sec from a loop will get blocked. Add jitter and back-off in the caller.
Captcha-protected results are not bypassed. If an engine returns a challenge page, the parser will return zero results for that engine and log a warning.

multi-search-engine

multi-search-engine

When to use

When NOT to use

Quick start

Engines

Routing tips

Boundaries

Plus depuis ce dépôt

multi-search-engine

When to use

When NOT to use

Quick start

Engines

Routing tips

Boundaries

Plus depuis ce dépôt