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, and evidently, 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.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 13, 2026, 05:04 AM
Security Audit — agent-trust-hub — light-data-engineering