dataset-curator
Pass
Audited by Gen Agent Trust Hub on Jul 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is purely informational and consists of documentation, architectural guidance, and illustrative code snippets for data science practitioners. No automated execution or dangerous command patterns were detected.
- [DATA_EXFILTRATION]: The instructions demonstrate a strong security posture by recommending that users strip Personally Identifiable Information (PII) including names, emails, and account numbers from datasets before they are used for training or annotation.
- [EXTERNAL_DOWNLOADS]: The text references well-known, reputable Python libraries such as
datasketch,cleanlab, and Hugging Facedatasetsas recommended tools for deduplication and quality filtering. These are industry-standard utilities in the machine learning ecosystem.
Audit Metadata