spark-optimization
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content and code templates for optimizing Apache Spark performance. It covers legitimate patterns such as partitioning strategies, memory management (Tungsten, executor configuration), and join optimizations (Broadcast, Sort-Merge, Bucketing).
- [SAFE]: The PySpark code snippets utilize standard library functions from
pyspark.sqlandpyspark.conf. No unauthorized command execution, remote script downloads, or obfuscated payloads were found. External data references (S3 buckets) are used as generic placeholders for demonstration purposes.
Audit Metadata