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evaluators

Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output. Trigger when the user wants to create a new evaluator, improve an existing one's logic or rubric, choose labels, or decide what to measure on a dataset or experiment. Do NOT trigger on: (1) manual prompt drafting (use `playground`), (2) running or comparing experiments themselves (use `experiments`), (3) cross-trace failure diagnosis with no evaluator in scope (use `phoenix-error-analysis`).

70

Quality

88%

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SKILL.md
Quality
Evals
Security

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tessl scenario generate
tessl eval run
Read the evals guide
Repository

Arize-ai/phoenix

Path

src/phoenix/server/agents/prompts/skills/evaluators/SKILL.md

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.