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Advanced evaluation of LLM outputs v1.0.0

Use this resource to design an evaluation of LLM outputs by an automated judge

New

  • 569 downloads
  • 183 likes
  • 244 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-judge-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 designs evaluation rubrics for an LLM judge: direct scores, pairwise comparisons, metric selection and calibration against human labels. It anticipates biases such as position bias and details direct-scoring implementations. You get a rubric and a protocol to test.

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Updated November 2, 2026

Card for the “Advanced evaluation of LLM outputs” skill

Details

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

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What you get

  • SKILL.md: taxonomy of approaches and known biases
  • SKILL.md: direct-scoring implementation and criteria

Good fit for

  • You compare two prompt versions with an automated judge
  • Your automated scores do not match human reviewers

Not for

    Tags

    • evaluation
    • llm
    • bias

    About

    You say

    “Design a scoring rubric for our support replies and calibrate it on 50 reviewed answers.”

    Card for the “Advanced evaluation of LLM outputs” skill

    Skill published by sickn33 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 an evaluation of LLM outputs by an automated judge
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md17.1 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/advanced-evaluation
    Licence
    MIT

    Notice

    « advanced-evaluation » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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