julia-performance
Pass
Audited by Gen Agent Trust Hub on Mar 7, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill contains purely instructional content related to Julia performance optimization, covering standard practices like type stability, memory management, and profiling.
- [SAFE]: Recommended tools and packages such as BenchmarkTools, JET.jl, StaticArrays, and LoopVectorization are established, reputable libraries in the Julia programming community.
- [SAFE]: There are no instances of prompt injection, obfuscation, or malicious code execution patterns. Instructions for package installation and file analysis use standard Julia syntax for development purposes.
- [SAFE]: No network requests, hardcoded credentials, or sensitive data access patterns were identified.
Audit Metadata