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.
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