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Anthropic has introduced a rigorous evaluation framework for Claude Code plugins that quantifies the specific value added by external skills versus base model capabilities. This workflow employs both cost-free heuristics and LLM-based judges to verify skill triggers, robustness against edits, and performance improvements in production environments. The inclusion of continuous integration gates ensures that plugin reliability is maintained as models and codebases evolve.

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Anthropic Adds Plugin Evals to Claude Code: 6 Grader Types, a No-Plugin Baseline, and a CI Gate for Skills

MarkTechPostSeptember 11, 20263 min read

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 […] The post Anthropic Adds Plugin Evals to Claude Code: 6 Grader Types, a No-Plugin Baseline, and a CI Gate for Skills appeared first on MarkTechPost.

Anthropic has published a new plugin evaluation 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 three questions plugin developers could not previously measure: does the skill trigger, does it survive an edit or a new…

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