bio-clinical-biostatistics-trial-reporting
Pass
Audited by Gen Agent Trust Hub on Oct 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill instructions and code examples focus exclusively on statistical methodology for clinical trials, referencing established regulatory guidelines and academic literature in the biostatistics domain.
- [SAFE]: All external libraries mentioned, including tableone, mmrm, rbmi, statsmodels, and scikit-learn, are reputable, industry-standard tools used for clinical data analysis and regulatory reporting.
- [SAFE]: Analysis of the Python code and markdown instructions reveals no suspicious network activity, data exfiltration patterns, or attempts to access sensitive system files or credentials.
- [SAFE]: The provided Python script uses synthetic data generated via numpy for demonstration purposes and does not incorporate any obfuscation, dynamic code execution, or privilege escalation techniques.
- [SAFE]: The skill includes high-quality technical documentation that warns users about the limitations and specific configurations of libraries (e.g., scikit-learn's IterativeImputer), demonstrating a commitment to methodological correctness.
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