evaluating-machine-learning-models

Pass

Audited by Gen Agent Trust Hub on Sep 8, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill instructions and associated scripts do not exhibit any malicious behavior. The primary logic involves using a model evaluation plugin and visualizing results via a Python script.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes external data (CSV files) which constitutes a theoretical attack surface for indirect prompt injection. However, the provided visualization script treats these files as numerical data for plotting, and no exploitable instructions were found in the skill's logic.
  • Ingestion points: Data files such as actual.csv and predicted.csv are read by the visualization_script.py and potentially by the model-evaluation-suite plugin.
  • Boundary markers: Not explicitly defined in the prompt instructions for isolating external data.
  • Capability inventory: The skill has access to Bash, Read, and Write tools.
  • Sanitization: No specific sanitization of CSV content is performed before plotting.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 8, 2026, 01:18 AM