Clustering Analysis

Pass

Audited by Gen Agent Trust Hub on Mar 4, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill uses standard, well-known data science libraries (pandas, numpy, scikit-learn, scipy, matplotlib, seaborn) for its implementation.
  • [SAFE]: No credential exposure, network exfiltration, or unauthorized file access was detected.
  • [SAFE]: The code generates synthetic data internally using numpy and does not ingest or process untrusted external data in a way that creates a high-risk injection surface.
  • [SAFE]: No obfuscation, persistence mechanisms, or privilege escalation patterns were found.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 4, 2026, 05:27 PM