@langchain-ai/langsmith-evaluator
INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.
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Analyzing security...
Checking scan reports and verification data.
Bill of Materials
Everything this skill can do — files, network, commands, and more.
No demos yet. To add one, ask your AI agent: "Submit a demo for @langchain-ai/langsmith-evaluator" — or upload via the API.
To add a demo, ask your AI agent: "Submit a demo for @langchain-ai/langsmith-evaluator"
No eval data yet. Eval results are published via the SkillSafe API.