Machine Learning

Pass

Audited by Gen Agent Trust Hub on Feb 17, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE] (SAFE): The skill follows security best practices, such as using yaml.safe_load() in its validation scripts and encouraging input validation in its design patterns.
  • [Indirect Prompt Injection] (LOW): The skill is designed to process external datasets, which presents a surface for indirect prompt injection.
  • Ingestion points: references/GUIDE.md identifies input_data as a primary entry point for processing.
  • Boundary markers: Absent; the skill does not define specific delimiters for separating data from instructions.
  • Capability inventory: scripts/validate.py uses os and pathlib for file system verification. The core ML libraries (PyTorch, TensorFlow) provide extensive computational capabilities.
  • Sanitization: references/PATTERNS.md suggests type and null checking, though it lacks specific sanitization for natural language inputs embedded in data.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 17, 2026, 05:12 PM