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Model explainability analysis v1.0.0

Use this resource to explain the predictions of a machine learning model

New

  • 373 downloads
  • 149 likes
  • 193 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install model-explainability-analysis

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 picks an explanation method suited to the model and measures how each feature drives predictions. You get a report that business teams can read.

Mostly picked by

Updated November 2, 2026

Card for the “Model explainability analysis” skill

Details

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

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What you get

  • SKILL.md: explanation method and analysis steps
  • SKILL.md: report examples and expected output

Good fit for

  • A model must be justified to a committee or a client
  • You want to find the features that weigh most on a decision

Not for

    Tags

    • explainability
    • machine learning
    • feature importance
    • report

    About

    You say

    “Explain the predictions of my customer scoring model and show the features that matter most.”

    Card for the “Model explainability analysis” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 explain the predictions of a machine learning model
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/07-ml-training/model-explainability-tool
    Licence
    MIT

    Notice

    « model-explainability-tool » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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