skills/databricks-solutions/lakebase-online-ml/databricks-spark-structured-streaming/Gen Agent Trust Hub
databricks-spark-structured-streaming
Pass
Audited by Gen Agent Trust Hub on Aug 11, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and code templates for building data pipelines using Apache Spark and Delta Lake.
- [SAFE]: Sensitive information management is handled through secure practices, specifically recommending the use of Databricks Secrets (
dbutils.secrets.get) for Kafka authentication instead of hardcoding credentials. - [SAFE]: File system operations using
dbutils.fs(ls, head, cp, rm) are demonstrated within the context of administrative tasks like checkpoint management, backups, and recovery of streaming state, which are standard for the described use case. - [SAFE]: No obfuscation, unauthorized network exfiltration, or remote code execution patterns were found. All code snippets use standard libraries and platform-specific utilities (PySpark, Delta, dbutils) as expected for Databricks environments.
Audit Metadata