skills/damionrashford/mlx/train/Gen Agent Trust Hub

train

Pass

Audited by Gen Agent Trust Hub on Jun 19, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: Detailed analysis confirms the skill is focused on machine learning workflows. It provides educational templates and a utility script for analyzing experiment results without any malicious patterns.
  • [COMMAND_EXECUTION]: The skill defines a restricted Bash capability in the frontmatter to run a local analysis script (scripts/analyze_results.py). This implementation follows security best practices by limiting execution to a specific, internal file.
  • [REMOTE_CODE_EXECUTION]: The skill references standard, well-known machine learning libraries such as scikit-learn, XGBoost, LightGBM, and PyTorch. No unverified remote code or suspicious installation patterns were found.
  • [DATA_EXFILTRATION]: Network activity and data exfiltration patterns were not detected. All file operations (Read/Write) are consistent with the intended purpose of managing datasets and model artifacts.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 19, 2026, 05:09 AM
Security Audit — agent-trust-hub — train