outlier-detective
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFENO_CODE
Full Analysis
- [SAFE] (SAFE): No security risks or malicious patterns were identified in the skill description or requirements. The provided code snippets demonstrate standard statistical operations.
- [EXTERNAL_DOWNLOADS] (SAFE): The skill lists standard, well-known Python dependencies (pandas, numpy, scipy, scikit-learn, matplotlib) in its requirements.txt file. These are sourced from official package registries and are appropriate for the tool's stated purpose.
- [DATA_EXFILTRATION] (SAFE): The skill performs local data processing and visualization. There are no patterns suggesting unauthorized network access or exfiltration of sensitive information.
- [NO_CODE] (SAFE): The implementation script 'outlier_detective.py' mentioned in the documentation is missing from the provided files, meaning the full execution logic could not be verified; however, the metadata and dependencies are benign.
Audit Metadata