statsmodels
Pass
Audited by Gen Agent Trust Hub on Mar 31, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical documentation and code snippet repository for the 'statsmodels' Python library. Analysis across all 10 threat categories revealed no malicious patterns.
- [PROMPT_INJECTION]: No instructions were found that attempt to override agent behavior or bypass safety guidelines.
- [DATA_EXFILTRATION]: No network exfiltration patterns, hardcoded credentials, or unauthorized access to sensitive file paths were detected. The provided code examples use standard local data processing libraries.
- [REMOTE_CODE_EXECUTION]: No patterns of downloading and executing remote scripts (e.g., curl|bash) were found. The skill relies on standard, well-known Python packages for data science.
- [OBFUSCATION]: All content is in plain text with no hidden characters, encoding, or multi-layer obfuscation detected.
- [COMMAND_EXECUTION]: The skill uses the statsmodels formula API (e.g., smf.ols), which is a standard feature for specifying statistical models and does not involve arbitrary shell command execution.
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