statsmodels
Pass
Audited by Gen Agent Trust Hub on Oct 24, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a legitimate technical guide for statistical analysis using the statsmodels library. All instructions and code examples are consistent with standard data science practices.
- [PROMPT_INJECTION]: No instructions were found that attempt to override agent safety protocols, bypass constraints, or extract system prompts.
- [DATA_EXFILTRATION]: The skill does not access sensitive local file paths (such as credentials or environment files) and contains no unauthorized network operations or data transmission logic.
- [OBFUSCATION]: Analysis of the skill body and reference files revealed no use of Base64 encoding, zero-width characters, homoglyphs, or other techniques to hide malicious intent.
- [REMOTE_CODE_EXECUTION]: The skill relies exclusively on standard Python libraries (statsmodels, numpy, pandas, matplotlib, scipy, scikit-learn) and does not contain patterns for downloading or executing arbitrary remote scripts.
- [PRIVILEGE_ESCALATION]: No commands for acquiring administrative privileges, such as sudo or modifying system configurations, were detected.
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