recommender-system

Pass

Audited by Gen Agent Trust Hub on Feb 17, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE] (SAFE): The skill utilizes industry-standard libraries including pandas, numpy, and scikit-learn for its core recommendation logic, posing no inherent security risk.
  • [SAFE] (SAFE): Data handling is restricted to local CSV files provided by the user, with no evidence of remote data exfiltration or hardcoded credentials.
  • [SAFE] (SAFE): Project structure and scripts follow transparent development practices without obfuscation or suspicious dynamic code execution.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 17, 2026, 06:10 PM