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Search the web using SearXNG (self-hosted metasearch - no API key needed)
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Based on SOC occupation classification
TypeDB-backed ontological memory with schema-driven retrieval. Introspects the live knowledge graph schema, composes TypeQL queries dynamically, and combines graph traversal with embedding-based semantic search for three-stage retrieval (plan, execute, organize with provenance).
Store and retrieve knowledge in the Alhazen TypeDB knowledge graph - remember, recall, organize papers and notes
REQUIRED FIRST — starts TypeDB + dashboard via Docker, loads the Alhazen base schema. Must install before any other Alhazen skill.
Brief description of what this skill does
Design and implement TypeDB-backed curation skills using the Skillful Alhazen methodology
| name | web-search |
| description | Search the web using SearXNG (self-hosted metasearch - no API key needed) |
Use this skill whenever you need to search the web. SearXNG aggregates results from Google, DuckDuckGo, Bing, and other engines. No API key required.
Triggers: "search for", "look up", "find information about", "what is", "who is", "google", "search the web"
curl -s "${SEARXNG_URL:-http://localhost:8888}/search?q=QUERY&format=json" | python3 -c "
import sys, json
r = json.load(sys.stdin)
results = r.get('results', [])[:5]
print(f'{len(results)} results:\n')
for x in results:
print(x.get('title',''))
print(x.get('url',''))
print(x.get('content','')[:300])
print()
"
Replace QUERY with URL-encoded search terms — spaces as +, e.g. Gully+Burns+neuroscience.
[:10] instead of [:5] to get more resultssite:example.com to the querySEARXNG_URL is set automatically per environment (localhost:8888 on macmini, searxng:8080 on VPS)