pandas-coder

Pass

Audited by Gen Agent Trust Hub on Mar 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill instructions and code snippets focus entirely on legitimate data science workflows using the pandas and numpy libraries.
  • Snippets provide industry-standard methods for memory optimization, such as chunked reading, categorical type conversion, and downcasting.
  • Vectorized operations and parquet usage are recommended for performance improvements.
  • No obfuscation, hardcoded credentials, or unauthorized network activity were found.
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to process data from external files, which constitutes a standard ingestion surface for this type of tool.
  • Ingestion points: The skill uses pd.read_csv and pd.read_parquet to load data from files in SKILL.md.
  • Boundary markers: None are present in the provided code snippets.
  • Capability inventory: The skill has permissions for Bash and file Write operations.
  • Sanitization: The snippets do not demonstrate specific sanitization or validation of data content prior to processing.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 16, 2026, 12:55 PM