The Agent Skills Directory

[SAFE]: The skill contains purely educational content and implementation examples for LLM evaluation strategies. All identified code snippets demonstrate standard practices for performance measurement and benchmarking without any malicious intent or hidden logic.- [SAFE]: All identified Python dependencies (e.g., nltk, scikit-learn, transformers, scipy, numpy, openai) are well-known, standard libraries for data science and AI development. The library 'llm_eval' appears to be a generic placeholder or specialized utility for evaluation suites.- [SAFE]: No evidence of prompt injection, data exfiltration, obfuscation, or unauthorized command execution was found. The instructions are clear, and the code examples follow best practices for the described domain of LLM evaluation.

llm-evaluation