data-cleaning
Pass
Audited by Gen Agent Trust Hub on Mar 11, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill focuses on legitimate data preprocessing tasks. All code examples use standard practices with reputable libraries such as pandas and numpy. No signs of data exfiltration, obfuscation, or unauthorized command execution were found.
- [PROMPT_INJECTION]: The skill has a surface for indirect prompt injection because it ingests external data (CSV files). This is a functional requirement for data cleaning. Evidence: 1. Ingestion points: pd.read_csv in SKILL.md; 2. Boundary markers: Absent; 3. Capability inventory: standard pandas file I/O operations; 4. Sanitization: The skill implements type coercion and regex-based cleaning to sanitize input data.
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