ddgs-search

name	ddgs-search
description	Free multi-engine web search via ddgs CLI (DuckDuckGo, Google, Bing, Brave, Yandex, Yahoo, Wikipedia) + arXiv API search. No API keys required. Use when user needs web search, research paper discovery, or when other skills need a search backend. Drop-in replacement for web-search-plus.
metadata	{"openclaw":{"requires":{"bins":["python3"]}}}

ddgs-search

Why This Skill?

🆓 Completely free — no API keys, no subscriptions, no rate limits, no billing surprises.

🔍 8 search engines in one — Google, Bing, DuckDuckGo, Brave, Yandex, Yahoo, Wikipedia, and Mojeek. Switch engines with a single flag. Most search skills only support one.

🎓 Built-in arXiv research search — search academic papers directly via arXiv's free API. Returns authors, categories, abstracts, and publication dates. Perfect for researchers, students, and AI/ML practitioners.

🔌 Drop-in replacement — outputs web-search-plus compatible JSON, so it works with any skill or tool that expects that format. Zero config migration.

⚡ Lightweight — single pip package, no browser automation, no headless Chrome. Searches complete in 1-3 seconds.

Install

python3 scripts/install.py

Works on macOS, Linux, and Windows. Installs the ddgs package, verifies CLI access, and runs a quick search test.

Manual install

pip install ddgs

Web Search

# Google (default)
python3 scripts/search.py -q "your query" -m 5

# Other engines
python3 scripts/search.py -q "your query" -b bing
python3 scripts/search.py -q "your query" -b duckduckgo
python3 scripts/search.py -q "your query" -b brave
python3 scripts/search.py -q "your query" -b yandex
python3 scripts/search.py -q "your query" -b yahoo
python3 scripts/search.py -q "your query" -b wikipedia

Output (web-search-plus compatible JSON):

{
  "provider": "ddgs",
  "results": [
    {"title": "...", "url": "...", "snippet": "...", "published_date": "..."}
  ]
}

arXiv Search

# Search by topic
python3 scripts/arxiv_search.py -q "3D gaussian splatting" -m 10

# Field-specific search (title, abstract, category)
python3 scripts/arxiv_search.py -q "ti:transformer AND cat:cs.CV" -m 5

# Sort by relevance instead of date
python3 scripts/arxiv_search.py -q "reinforcement learning" --sort-by relevance

Returns authors, categories, abstracts — same JSON format.

Direct CLI

ddgs text -q "query" -m 5 -b google
ddgs text -q "query" -m 10 -b bing -o /tmp/results.json

Integration

Set WEB_SEARCH_PLUS_PATH to use as a search backend for other skills:

export WEB_SEARCH_PLUS_PATH="path/to/ddgs-search/scripts/search.py"