data-labeling
Pass
Audited by Gen Agent Trust Hub on Mar 11, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides structured workflows and code templates for data labeling tasks using established tools like Label Studio and Snorkel.\n- [SAFE]: Credentials and sensitive configurations are handled securely through the use of descriptive placeholders (e.g., 'your-api-key').\n- [SAFE]: Network interactions are limited to a local environment (localhost), and file operations are restricted to expected dataset files (CSV, XML).\n- [SAFE]: Dependencies are restricted to reputable Python packages for data science and machine learning (pandas, numpy, scikit-learn, snorkel, label-studio-sdk).\n- [SAFE]: Data processing logic follows standard patterns for the task, with ingestion of local files for the purpose of annotation and quality control.
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