# Arize Evaluator

Handles LLM-as-judge evaluation workflows on Arize including creating/updating...

- Repository: https://github.com/github/awesome-copilot (40669 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-30
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add github/awesome-copilot --skill arize-evaluator -g -a claude-code -y`
Codex: `npx skills add github/awesome-copilot --skill arize-evaluator -g -a codex -y`
Cursor: `npx skills add github/awesome-copilot --skill arize-evaluator -g -a cursor -y`
Gemini CLI: `npx skills add github/awesome-copilot --skill arize-evaluator -g -a gemini-cli -y`

## Description

Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Arize Evaluator Skill

> **`SPACE`**, All `--space` flags and the `ARIZE_SPACE` env var accept a space **name** (e.g., `my-workspace`) or a base64 space **ID** (e.g., `U3BhY2U6...`). Find yours with `ax spaces list`.

This skill covers designing, creating, and running **LLM-as-judge evaluators** on Arize. An evaluator defines the judge; a **task** is how you run it against real data.

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## Prerequisites

Proceed directly with the task, run the `ax` command you need. Do NOT check versions, env vars, or profiles upfront.

The rest: https://github.com/github/awesome-copilot/blob/HEAD/skills/arize-evaluator/SKILL.md