Quality Scoring

Pass

Audited by Gen Agent Trust Hub on Mar 8, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious instructions, obfuscation, or security bypass attempts were detected within the skill documentation or code snippets.
  • [COMMAND_EXECUTION]: The skill provides CLI command examples (e.g., python -m training_metrics score) for performing data assessment tasks using a local Python module. These commands are consistent with the skill's stated purpose.
  • [DATA_EXFILTRATION]: The documentation explicitly addresses security best practices by including code examples for mitigating Path Traversal (CWE-22) through path validation and restriction to allowed directories.
  • [EXTERNAL_DOWNLOADS]: The skill mentions support for OpenRouter and MLX backends for LLM-based scoring, which involves standard API communication for inference purposes.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 8, 2026, 07:00 PM