statsmodels
Pass
Audited by Gen Agent Trust Hub on Jun 26, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate documentation and code examples for the well-known Python library
statsmodels. All analyzed content is strictly instructional and technical. - [PROMPT_INJECTION]: No attempts to override agent behavior, bypass safety filters, or extract system prompts were found. The language is professional and focused on the stated purpose.
- [DATA_EXFILTRATION]: There are no hardcoded credentials, sensitive file access (like SSH keys or environment files), or suspicious network requests. The only URLs present are official documentation links for the statsmodels project.
- [REMOTE_CODE_EXECUTION]: The skill does not download or execute remote scripts. It relies on standard, pre-installed Python data science libraries.
- [COMMAND_EXECUTION]: No dangerous system commands, shell injections, or privilege escalation patterns (like
sudoorchmod) are present in the code snippets. - [OBFUSCATION]: All text and code are provided in clear, human-readable format. No Base64, zero-width characters, or homoglyphs were detected.
Audit Metadata