advanced-evaluation
Pass
Audited by Gen Agent Trust Hub on Feb 16, 2026
Risk Level: LOW
Full Analysis
- SAFE (SAFE): Analysis of the reference materials found no evidence of malicious intent, prompt injection, or data exfiltration. The content is purely educational and focused on improving the reliability of AI evaluation systems.
- DEPENDENCIES (INFO): The documentation references standard data science and testing libraries (scipy, scikit-learn, numpy, pytest) which are considered trusted sources for the described purposes.
- INDIRECT_PROMPT_INJECTION (LOW): The implementation patterns describe processing external model responses. While the provided examples are conceptual, developers implementing these patterns should be aware that the evaluated content constitutes an untrusted data surface requiring proper delimiter usage in production prompts.
Audit Metadata