databricks-dbsql
Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities. This skill MUST be invoked when the user mentions: "DBSQL", "Databricks SQL", "SQL warehouse", "SQL scripting", "stored procedure", "CALL procedure", "materialized view", "CREATE MATERIALIZED VIEW", "pipe syntax", "|>", "geospatial", "H3", "ST_", "spatial SQL", "collation", "COLLATE", "ai_query", "ai_classify", "ai_extract", "ai_gen", "AI function", "http_request", "remote_query", "read_files", "Lakehouse Federation", "recursive CTE", "WITH RECURSIVE", "multi-statement transaction", "temp table", "temporary view", "pipe operator". SHOULD also invoke when the user asks about SQL best practices, data modeling patterns, or advanced SQL features on Databricks.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
The skill's SKILL.md and included ai-functions.md explicitly show runtime use of http_request, remote_query, and read_files (e.g., http_request examples to external APIs like Slack/GitHub, remote_query to external databases, and read_files('s3://...')/Volumes paths) and demonstrate parsing and acting on those external responses (from_json, ai_query, joins, webhook calls), which means the agent fetches and interprets untrusted third-party content that can materially influence subsequent tool use and decisions.
- Repository
- databricks-solutions/ai-dev-kit
- Commit
a7e1d51
- Audited
- Security analysis
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