Install
openclaw skills install searxng-websearchUse this skill whenever the user wants to search the web, do research on a topic, fetch a webpage, or gather information from online sources using a self-hosted SearXNG instance. Triggers include: 'search for', 'look up', 'find online', 'deep research', 'fetch this page', 'web search', or any request that needs current/external information. Also use when the user wants to run websearch.py, deep_research.py, or fetch_page.py scripts. Do NOT use for local file operations, code execution unrelated to search, or tasks that don't require web data.
openclaw skills install searxng-websearchA skill for searching the web and fetching pages via a self-hosted SearXNG instance. Three entry-point scripts cover the main use cases:
| Script | Purpose |
|---|---|
websearch.py | Single query, structured results |
fetch_page.py | Fetch and extract text from one URL |
deep_research.py | Multi-query research with page fetching and ranking |
All scripts read configuration from a .env file (or real environment variables).
Copy _env → .env and fill in your values:
cp _env .env
.env reference| Variable | Default | Description |
|---|---|---|
SEARXNG_URL | http://localhost:8080 | Base URL of your SearXNG instance |
SEARXNG_LANGUAGE | en | Default search language |
SEARXNG_SAFE_SEARCH | 0 | 0 = off, 1 = moderate, 2 = strict |
SEARXNG_TIMEOUT | 20 | HTTP timeout in seconds |
CLI override — every script now also accepts
--searxng-urlto override the env value for one-off runs without editing.env.
pip install requests beautifulsoup4 lxml python-dotenv
bash ~/.openclaude/skills/searxng-websearch/install.sh
# reload shell, then:
wsearch "Claude Sonnet 4 release notes" --format agent
wfetch https://example.com --max-chars 3000
wresearch "transformer attention mechanisms" --fetch-top-pages 3
SKILL=~/.openclaude/skills/searxng-websearch
python3 "$SKILL/websearch.py" "Claude Sonnet 4 release notes" --format agent
python3 "$SKILL/fetch_page.py" https://example.com --max-chars 3000
python3 "$SKILL/deep_research.py" "transformer attention mechanisms" --fetch-top-pages 3
websearch.pypython websearch.py <query> [options]
Options:
--searxng-url URL SearXNG base URL (overrides SEARXNG_URL env var)
--category CATEGORY general | images | news | science | files |
social_media | map | music | videos | it
(default: general)
--max-results N Number of results to return (default: 5)
--language LANG Language code, e.g. en, de, fr
--safe-search 0|1|2 Safe-search level
--page N Result page number (default: 1)
--time-range RANGE day | week | month | year
--format FORMAT markdown | text | json | agent (default: markdown)
fetch_page.pypython fetch_page.py <url> [options]
Options:
--searxng-url URL Unused here but accepted for consistency
--max-chars N Max characters to print (default: 5000)
deep_research.pypython deep_research.py <topic> [options]
Options:
--searxng-url URL SearXNG base URL (overrides SEARXNG_URL env var)
--max-results N Results per sub-query (default: 4)
--fetch-top-pages N Number of top pages to fetch (default: 3)
--max-chars N Max chars per fetched page (default: 2500)
--output FORMAT markdown | text (default: markdown)
Pages are scored before fetching so the most authoritative content is prioritised:
| Domain signal | Points |
|---|---|
github.com / gitlab.com | +5 |
arxiv.org / openreview.net | +5 |
docs.* / readthedocs.* | +4 |
research / paper in domain | +3 |
| Has a publication date | +1 |
| Has a snippet | +1 |
NEVER use cd before calling a script. Each Bash() call spawns a fresh shell;
cd skill-dir && python3 script.py silently resets the CWD and the script never runs.
Always call scripts by their full absolute path in a single command:
# ✅ CORRECT — full path, no cd
python3 ~/.openclaude/skills/searxng-websearch/websearch.py "my query" --format agent
# ✅ CORRECT — SKILL_DIR variable makes it readable
SKILL_DIR=~/.openclaude/skills/searxng-websearch
python3 "$SKILL_DIR/websearch.py" "my query" --format agent
# ❌ WRONG — cd resets on the next Bash() call
cd ~/.openclaude/skills/searxng-websearch && python3 websearch.py "my query"
If the skill path is unknown, resolve it first:
SKILL_DIR=$(find ~/.openclaude/skills -name "websearch.py" -printf '%h' -quit 2>/dev/null \
|| find ~/skills -name "websearch.py" -printf '%h' -quit 2>/dev/null)
python3 "$SKILL_DIR/websearch.py" "my query" --format agent
websearch.py with --format agent when you need compact, token-efficient context to pass
back to the model.deep_research.py — it fans out into sub-queries automatically.deep_research.py exits with a clear error message; check that
SEARXNG_URL is correct and the instance is running.python3 ~/.openclaude/skills/searxng-websearch/deep_research.py "RAG retrieval strategies" > research.md