clerk
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claude
llm-evals
LLM testing and evaluation framework with promptfoo, DeepEval, golden datasets, and Supabase-backed eval tracking
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Plugin llm-evals from marketplace ai-dev-marketplace in vanman2024/ai-dev-marketplace. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (3)
deepeval-testingDeepEval pytest-style LLM testing patterns with built-in metrics, custom evaluators, and CI integration. Use when creating LLM tests, evaluating RAG quality, or measuring faithfulness/relevance.
eval-trackingSupabase-backed evaluation tracking with runs, cases, and scores tables. Use when storing eval results, building dashboards, or tracking regression over time.
promptfoo-configpromptfoo configuration patterns for prompt regression testing, multi-provider comparison, and assertion-based validation. Use when setting up prompt testing, comparing LLM providers, or creating eval pipelines.
Slash commands (2)
/llm-evals:addAdd a specific eval feature to an existing project. Features include promptfoo, deepeval, golden-dataset, supabase-tracking.
/llm-evals:buildBuild complete LLM evaluation system with promptfoo, DeepEval, golden datasets, and Supabase tracking
Subagents (4)
dataset-curatorManages golden datasets for LLM evaluation - test case creation, categorization, and version control
deepeval-specialistSpecializes in DeepEval pytest-style LLM testing with built-in metrics and custom evaluations
eval-orchestratorOrchestrates LLM evaluation workflows - coordinates promptfoo, DeepEval, datasets, and tracking
promptfoo-specialistSpecializes in promptfoo configuration, prompt regression testing, and multi-provider comparison
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