monte-carlo

Pass

Audited by Gen Agent Trust Hub on Sep 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate code templates and mathematical patterns for Monte Carlo simulations using standard scientific libraries like NumPy and SciPy.
  • [SAFE]: No network operations, file system modifications, or sensitive data access patterns were identified in any of the provided files.
  • [SAFE]: The instructions in SKILL.md correctly direct the agent to use provided reference files for grounding, promoting consistency and safety in code generation.
  • [SAFE]: The references/sharp_edges.md file proactively identifies common pitfalls, such as inadequate random number generation and convergence issues, and provides secure alternatives.
  • [SAFE]: The references/validations.md file defines static analysis rules to enforce best practices and prevent common implementation errors, such as the use of global random states.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 16, 2026, 04:35 PM
Security Audit — agent-trust-hub — monte-carlo