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.mdcorrectly direct the agent to use provided reference files for grounding, promoting consistency and safety in code generation. - [SAFE]: The
references/sharp_edges.mdfile proactively identifies common pitfalls, such as inadequate random number generation and convergence issues, and provides secure alternatives. - [SAFE]: The
references/validations.mdfile defines static analysis rules to enforce best practices and prevent common implementation errors, such as the use of global random states.
Audit Metadata