spark-optimization

Pass

Audited by Gen Agent Trust Hub on Oct 27, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill is a comprehensive guide for Spark optimization, covering partitioning, memory tuning, and shuffle management. All code snippets use standard PySpark APIs and follow industry best practices for data engineering.
  • [EXTERNAL_DOWNLOADS]: The skill references documentation from Apache Spark and Databricks. These are recognized as well-known and trusted technology services, and the references are relevant to the skill's primary purpose.
  • [INDIRECT_PROMPT_INJECTION]: The skill demonstrates reading data from external S3 storage, which is an inherent part of Spark data processing workflows.
  • Ingestion points: spark.read.parquet and spark.table operations in SKILL.md.
  • Boundary markers: None present, as the skill focuses on job optimization rather than processing untrusted natural language input.
  • Capability inventory: The skill utilizes Spark job execution and file-write capabilities (result.write.parquet).
  • Sanitization: No specific input sanitization is present, which is standard for performance tuning instructions.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 27, 2026, 12:29 AM