Feature Engineering
Pass
Audited by Gen Agent Trust Hub on Oct 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security issues were identified in the skill. The Python code provided in
SKILL.mduses standard, well-known libraries (pandas, numpy, scikit-learn) for data manipulation and visualization without any risky operations like remote downloads or sensitive file access. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to process external datasets for analysis. While processing untrusted data is a potential attack surface, the provided code follows standard practices, and no specific exploitable patterns were found.
- Ingestion points: Data loading via
pd.read_csvis suggested intemplates/notebook-template.py. - Boundary markers: Not explicitly defined in the provided templates.
- Capability inventory: The skill facilitates data transformation and visualization using Python libraries.
- Sanitization: No explicit sanitization of input data is present, which is standard for analytical code where the user is expected to provide the dataset.
Audit Metadata