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Creating LLM and code evaluators on Arize v1.0.0

Use this resource to create LLM or code evaluators and run them on spans or experiments

New

  • 504 downloads
  • 141 likes
  • 187 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-judge-evaluator-setup

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent designs evaluators on Arize: LLM-as-judge templates, or code evaluators that need no LLM. It creates the tasks that apply them to spans or experiments, configures column mapping and continuous monitoring. You get reproducible scores on your traces.

Mostly picked by

Updated November 2, 2026

Card for the “Creating LLM and code evaluators on Arize” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: evaluator, task and trace or session aggregation concepts
  • references/cli-reference.md: create, update and run commands
  • references/troubleshooting.md: solving common problems

Good fit for

  • You want to measure hallucinations or faithfulness in your answers
  • You need to score an experiment with an automatic criterion

Not for

    Tags

    • evaluator
    • llm judge
    • evaluation
    • hallucination
    • arize

    About

    You say

    “Create an evaluator that checks whether the answer stays faithful to the retrieved context, then run it on this week's spans.”

    Card for the “Creating LLM and code evaluators on Arize” skill

    Skill published by arize-ai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to create LLM or code evaluators and run them on spans or experiments
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/ax-profiles.md5.7 KB
    • references/ax-setup.md1.7 KB
    • references/cli-reference.md14.5 KB
    • references/troubleshooting.md3.2 KB
    • SKILL.md24.4 KB

    Origin and licence

    Listed unmodified

    Author
    arize-ai
    Source
    github.com/arize-ai/arize-skills/tree/877c9daf7187543f6a4cecdfc24cd33c43fa3e48/skills/arize-evaluator
    Licence
    MIT

    Notice

    « arize-evaluator » (arize-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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