spark-optimization

Pass

Audited by Gen Agent Trust Hub on Oct 8, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill contains educational content and code templates for Apache Spark optimization. All identified patterns, including adaptive query execution (AQE), memory management, and partitioning strategies, follow industry best practices for data engineering.
  • [SAFE]: External references are limited to legitimate sources (GitHub) and documentation links. The Python code snippets use standard PySpark libraries without suspicious dependencies or remote code execution risks.
  • [SAFE]: Data access patterns target S3 buckets using placeholder URIs (e.g., s3://bucket/data/), which is the expected behavior for Spark applications. No hardcoded credentials or sensitive local file path accesses were found.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 8, 2026, 04:39 AM