ml-trading

Pass

Audited by Gen Agent Trust Hub on Jul 28, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides educational content and reference code for quantitative trading and machine learning. It serves as a documentation resource rather than an executable tool.
  • [EXTERNAL_DOWNLOADS]: The documentation references several standard, well-known Python libraries for data science and machine learning. These include industry-standard packages such as pandas, numpy, scikit-learn, xgboost, tensorflow, and stable-baselines3, which are appropriate for the described technical use cases.
  • [DATA_EXFILTRATION]: No sensitive data exposure, credential harvesting, or unauthorized network activity is present in the skill instructions. The code examples for NLP sentiment analysis use the standard OpenAI API, which is expected for the functionality described.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 28, 2026, 08:19 AM
Security Audit — agent-trust-hub — ml-trading