Anthropic Adds Plugin Evals to Claude Code: 6 Grader Types, a No-Plugin Baseline, and a CI Gate for Skills
Anthropic has published a new plugin evals workflow for Claude Code. The claude plugin eval command runs a plugin against realistic prompts, grades what Claude produced, and compares the result with a run where the plugin is not loaded. It answers 3 questions plugin developers could not previously measure: does the skill trigger, does it survive an edit or a new model, and does it beat a bare model. Deployable: Yes. It runs on Claude Code v2.1.269 or later against any directory with a plugin
Anthropic has released a plugin evaluation workflow for Claude Code that tests whether plugins work correctly on realistic prompts by running them twice: once with the plugin loaded and once without. The system uses six types of graders to measure plugin performance, four of which are free because they analyze existing data, while two types call an AI judge model and incur costs. The key metric is the difference, or delta, between the plugin-enabled and plugin-disabled results, which shows what value the plugin actually added. This tool addresses a previously unmeasurable gap by revealing whether a plugin triggers on natural language, survives code changes, and outperforms the base model.
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