spark-and-distributed-processing

Pass

Audited by Gen Agent Trust Hub on Jul 7, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill consists of educational instructions and demonstration scripts for identifying Spark anti-patterns and performance bottlenecks. No evidence of prompt injection or malicious intent was found.
  • [EXTERNAL_DOWNLOADS]: The script checks/partition_skew.py contains an optional dependency on the pandas library to support CSV file parsing. This is a standard library for data processing and is treated as a safe dependency.
  • [SAFE]: The included Python scripts perform mathematical analysis and local data simulations. They do not initiate network connections, access sensitive environment variables, or perform privileged file system operations.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 7, 2026, 11:46 AM