fuzzy-name-matching
Pass
Audited by Gen Agent Trust Hub on Sep 26, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a robust framework for entity resolution using standard data science libraries. It does not exhibit any patterns related to prompt injection, data exfiltration, or persistence.
- [SAFE]: All identified dependencies are well-known and legitimate. The instructions specifically guide users to install the correct versions of packages like
sparse_dot_topnandscikit-learnfor the implementation to work correctly. - [SAFE]: The skill includes technical benchmarks and validation strategies (e.g., using control groups, measuring regulatory units) that encourage data integrity and verification of results.
- [SAFE]: No obfuscation, hidden URLs, or dynamic execution of untrusted code were detected. The Python templates provided are clear, well-documented, and perform standard data processing tasks.
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