bio-clinical-biostatistics-missing-data
Pass
Audited by Gen Agent Trust Hub on Aug 14, 2026
Risk Level: SAFE
Full Analysis
- [PROMPT_INJECTION]: No instructions were found that attempt to override agent behavior, bypass safety filters, or extract system prompts. The content is strictly technical and follows standard biostatistical documentation practices.
- [DATA_EXPOSURE_AND_EXFILTRATION]: No hardcoded credentials, sensitive file path access, or unauthorized network operations were detected. The provided Python script processes local DataFrames and produces statistical outputs without external exfiltration.
- [UNVERIFIABLE_DEPENDENCIES_AND_REMOTE_CODE_EXECUTION]: Dependencies listed (e.g., scikit-learn, statsmodels, pandas) are reputable, widely-used packages from official registries. No remote script execution patterns (e.g., curl/wget piped to a shell) were identified.
- [INDIRECT_PROMPT_INJECTION]: The skill handles ingestion of structured clinical trial data. While it does not use explicit boundary markers, its capabilities are confined to statistical modeling and lack the necessary tools (e.g., network access, file writing, or shell execution) to facilitate a meaningful indirect injection attack.
- [DYNAMIC_EXECUTION]: The use of statsmodels for formula-based modeling and scikit-learn for iterative imputation represents standard library usage and does not involve unsafe dynamic code assembly or execution of untrusted input.
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