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Design reliable evals for AI systems v1.0.0

Use this resource to design, run and defend evals for an AI system

New

  • 539 downloads
  • 156 likes
  • 212 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-eval-design

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 first checks whether an eval is needed and where it fits, picks a grader (deterministic first), fixes the bar before looking at results, then reads the score starting with the failures. You get a defensible evaluation, not an ordinary unit test.

Mostly picked by

Updated November 2, 2026

Card for the “Design reliable evals for AI systems” skill

Details

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

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What you get

  • SKILL.md: decision steps, grader choice and eval construction
  • SKILL.md: execution rules, result reading order and named anti-patterns

Good fit for

  • You want to prove that a new prompt or model version is better
  • Your agent or RAG gives variable results that you cannot measure

Not for

    Tags

    • evaluation
    • llm
    • quality
    • agents

    About

    You say

    “Measure whether this new prompt answers better than the old one on our 50 test questions.”

    Card for the “Design reliable evals for AI systems” skill

    Skill published by davila7 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 design, run and defend evals for an AI system
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md8.7 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/development/eval-genius
    Licence
    MIT

    Notice

    « eval-genius » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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