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Compare gstack skills across several models v1.0.0

Use this resource to compare gstack skill results across several models

New

  • 422 downloads
  • 130 likes
  • 174 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install skill-cross-model-benchmark

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 finds the benchmark binary, runs the gstack skills on several models and compares the results. You see which model performs best on each skill.

Mostly picked by

Updated November 2, 2026

Card for the “Compare gstack skills across several models” skill

Details

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

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What you get

  • SKILL.md: binary location and configuration
  • SKILL.md: running the skills and comparing models

Good fit for

  • You are torn between two models for one skill
  • You want to measure the effect of a model change

Not for

    Tags

    • benchmark
    • models
    • comparison
    • skills
    • evaluation

    About

    You say

    “Compare the models on the code review skill and tell me which holds up best.”

    Card for the “Compare gstack skills across several models” skill

    Skill published by garrytan 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 compare gstack skill results across several models
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md15.3 KB
    • SKILL.md.tmpl6.9 KB

    Origin and licence

    Listed unmodified

    Author
    garrytan
    Source
    github.com/garrytan/gstack/tree/4c745eec108abf7072f1ff755dce09bc8ba400a9/benchmark-models
    Licence
    MIT

    Notice

    « benchmark-models » (garrytan, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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