light-data-engineering
Pass
Audited by Gen Agent Trust Hub on Jun 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements a set of technical guidelines and utility scripts (
data_doctor.py,quality_gate.py,safe_split.py,check_access_level.py) designed to handle structured data processing. These scripts operate locally and do not perform unauthorized network operations or system modifications. - [SAFE]: A security-focused component,
check_access_level.py, is included to enforce data governance. It prevents high-sensitivity data (PII/raw) from being used in public-facing outputs such as research papers or code repositories, demonstrating a security-first design. - [SAFE]: All external tools referenced in the documentation, including
pandas,polars,duckdb,cleanlab, andevidently, are well-known and reputable services within the technology and data science communities. - [SAFE]: Recommendations for managing API credentials (e.g., Kaggle tokens) follow standard security practices, such as suggesting the use of specific file paths with restricted (600) permissions.
- [SAFE]: No patterns of prompt injection, code obfuscation, or remote code execution from untrusted sources were found in any of the analyzed files.
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