model-interpretation

Pass

Audited by Gen Agent Trust Hub on Aug 26, 2026

Risk Level: SAFECOMMAND_EXECUTION
Full Analysis
  • [COMMAND_EXECUTION]: The skill uses Python scripts (slice_errors.py and largest_misses.py) to process user-provided datasets (CSV, Parquet, JSON). These scripts use standard libraries like pandas and numpy for data manipulation. The command execution is confined to local data processing based on user-supplied file paths.
  • [EXTERNAL_DOWNLOADS]: The documentation includes instructions for installing standard data science libraries (pandas, numpy, pyarrow) via pip from official package registries. These are well-known, trusted resources.
  • [DATA_EXPOSURE]: The skill processes prediction tables which could contain sensitive proprietary model outputs; however, the data remains local to the user's environment, and there are no network exfiltration patterns detected.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 26, 2026, 06:29 PM
Security Audit — agent-trust-hub — model-interpretation