process-optimization

Pass

Audited by Gen Agent Trust Hub on Mar 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides a comprehensive framework for industrial engineering tasks, including bottleneck identification, cycle time calculations, and line balancing.
  • [SAFE]: The included Python code implements discrete-event simulation using the simpy library and queuing theory analysis. All calculations are mathematical and do not involve any unsafe operations like dynamic code execution (eval/exec) or subprocess calls.
  • [SAFE]: There are no network requests, credential usage, or sensitive file system interactions detected within the code or the instructional content.
  • [SAFE]: The dependencies listed (such as numpy, pandas, matplotlib, and simpy) are standard, well-known libraries in the data science and engineering community.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 16, 2026, 08:18 PM