code-science
Pass
Audited by Gen Agent Trust Hub on Apr 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content on scientific computing best practices, including reproducibility, performance profiling, and data management.
- [SAFE]: Recommends the use of
yaml.safe_load()for configuration files, which is a security best practice to prevent arbitrary code execution during deserialization. - [SAFE]: Mentions standard, well-known scientific libraries (NumPy, Pandas, Pytest) and specialized profiling tools (line_profiler, memory_profiler) which are appropriate for its stated purpose.
- [SAFE]: No evidence of prompt injection, data exfiltration, or unauthorized command execution was found.
Audit Metadata