The authors propose the MCRI Framework, a four-dimensional framework for analyzing and evaluating agent skills, and operationalize it as MCRI-Eval, a large language model-based evaluation method. They evaluate MCRI-Eval on 63,812 public skills from the OpenClaw skill Hub and achieve promising results, including improved skill selection and ranking agreement.