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Evaluating LLM applications: metrics and judges v1.0.0

Use this resource to evaluate an LLM application's quality with metrics, human review and a judge

New

  • 550 downloads
  • 160 likes
  • 130 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-application-evaluation

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 defines an evaluation strategy that combines automated metrics, human evaluation and an LLM judge. It compares models or prompts, catches regressions before deployment and proposes a baseline.

Mostly picked by

Updated November 2, 2026

Card for the “Evaluating LLM applications: metrics and judges” skill

Details

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

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What you get

  • SKILL.md: evaluation types, quick start and usage
  • references/details.md: detailed patterns and examples

Good fit for

  • You compare two models or two prompts
  • You want to catch a regression before release

Not for

    Tags

    • evaluation
    • llm
    • metrics
    • judge

    About

    You say

    “Compare these two prompts on our 300-question set and measure regressions.”

    Card for the “Evaluating LLM applications: metrics and judges” skill

    Skill published by wshobson 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 evaluate an LLM application's quality with metrics, human review and a judge
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/details.md14.2 KB
    • SKILL.md4 KB

    Origin and licence

    Listed unmodified

    Author
    wshobson
    Source
    github.com/wshobson/agents/tree/0874a27b17a22e2b7c2e2bcd725768e0803cad06/plugins/llm-application-dev/skills/llm-evaluation
    Licence
    MIT

    Notice

    « llm-evaluation » (wshobson, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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