automl-hyperparameter-optimization
Pass
Audited by Gen Agent Trust Hub on Oct 9, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: No malicious patterns, obfuscation, or unauthorized access attempts were detected in the instructions or code snippets.- [INDIRECT_PROMPT_INJECTION]: The skill naturally involves processing external data for machine learning tasks, which constitutes a data ingestion surface.\n
- Ingestion points: Data ingestion occurs in
SKILL.mdviasetup(data=df, ...)andload_breast_cancer()functions.\n - Boundary markers: Not present, as these are generic code examples for data science workflows.\n
- Capability inventory: The skill allows for local model training and hyperparameter optimization using standard libraries (Optuna, Ray, PyCaret).\n
- Sanitization: Not applicable to the intended primary purpose of building and tuning machine learning models.
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