Query the Semantica knowledge graph using SPARQL, Cypher, keyword search, and structured graph query patterns.
69
83%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow ingests a user-provided free-text SPARQL/Cypher/search string via `/semantica:query ...`, which is then executed against the graph by `engine.query_sparql(query)`, `engine.query_cypher(query)`, or `engine.search(keywords=keywords)`.
8406297
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.