numpy-best-practices
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- General Security (SAFE): No malicious patterns, prompt injections, or security vulnerabilities were identified in the skill content.
- No Code (SAFE): The skill consists entirely of markdown documentation providing developer guidelines; it contains no executable scripts, subprocess calls, or automation routines.
- External Dependencies (SAFE): While the text mentions 'numpy' and 'pytest' as best practices for numerical computing and testing, there are no instructions to install these from untrusted sources or execute remote code.
- Data Exposure (SAFE): No sensitive file paths, hardcoded credentials, or external network operations were detected.
Audit Metadata