sklearn-advanced

Pass

Audited by Gen Agent Trust Hub on Sep 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides documentation and Python code snippets for the legitimate scikit-learn library, following standard industry best practices.
  • [DYNAMIC_EXECUTION]: The skill demonstrates model persistence using joblib.load() and joblib.dump(). While these functions use pickle-based deserialization which can execute arbitrary code if loading untrusted files, the skill presents this as a standard development workflow for saving and loading local models without suggesting the use of untrusted remote sources.
  • [EXTERNAL_DOWNLOADS]: All external references point to official documentation at scikit-learn.org. No remote scripts or binary downloads are present.
  • [PROMPT_INJECTION]: No attempts to override agent behavior or bypass safety guidelines were detected.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 16, 2026, 04:41 PM