ml4t-canonical-schema
Pass
Audited by Gen Agent Trust Hub on Sep 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and Python code snippets (using polars) intended to guide developers on implementing consistent data schemas.
- [SAFE]: No malicious command execution, network activity, or data exfiltration patterns were detected.
- [SAFE]: Mentions of the 'ml4t' vendor namespace (e.g., 'ml4t-data' library) are documented as legitimate vendor resources and do not indicate malicious intent.
- [SAFE]: All code examples are standard data manipulation logic and do not use dangerous functions such as eval(), exec(), or subprocess spawning.
Audit Metadata