pymc
Pass
Audited by Gen Agent Trust Hub on Mar 5, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill relies on standard, trusted scientific Python libraries including PyMC, ArviZ, NumPy, Pandas, and Matplotlib for all its functionality.\n- [SAFE]: Data ingestion is limited to local CSV files in the provided templates, and file operations are restricted to saving diagnostic plots and statistical summaries to the local filesystem.\n- [SAFE]: No evidence of prompt injection, obfuscation, network exfiltration, or unauthorized command execution was found in the skill's instructions or Python scripts.
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