Anthropic released a CLI to evaluate skills and plugins (code.claude.com)

Anthropic has launched the `claude plugin eval`, a command-line interface designed to systematically evaluate the performance of plugins developed for the Claude AI model. This tool allows developers to assess their plugins against a range of realistic test cases, using pass/fail grading systems through various evaluators, such as regex checks or secondary model assessments. Importantly, developers can automate the creation of test suites without manual input, making it easier to identify the effectiveness of plugins and detect regressions when updates are made. The significance of this release for the AI/ML community lies in its potential to enhance plugin reliability and promote ongoing improvement in AI implementations. By providing a structured mechanism to measure a plugin's impact against a no-plugin baseline, the interface helps developers gauge how much their enhancements contribute to desired outcomes. This feature is particularly valuable for teams that implement continuous integration (CI) practices, as it allows for targeted and efficient testing of software components within AI systems, ultimately enhancing the robustness and accuracy of AI-driven solutions.