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ML training health checks v1.0.0

Use this resource to monitor a model training run and catch broken runs early

New

  • 460 downloads
  • 188 likes
  • 173 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-training-health-checks

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 periodically reads WandB metrics while training runs and judges whether something is wrong: NaN values, loss divergence or an idle GPU. It acts on the finding and asks a second reviewer to settle doubtful cases. You avoid paying for GPU hours spent on a broken run.

Mostly picked by

Updated November 2, 2026

Card for the “ML training health checks” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: metric reading, judgment and actions
  • SKILL.md: CronCreate scheduling example and usage rules

Good fit for

  • A GPU training run is underway and you want to avoid wasted hours
  • You track runs in WandB and want automated health checks

Not for

    Tags

    • training
    • wandb
    • gpu
    • monitoring

    About

    You say

    “Watch the current run and tell me if the loss diverges or a GPU sits idle.”

    Card for the “ML training health checks” skill

    Skill published by wanshuiyin 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 monitor a model training run and catch broken runs early
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.7 KB

    Origin and licence

    Listed unmodified

    Author
    wanshuiyin
    Source
    github.com/wanshuiyin/auto-claude-code-research-in-sleep/tree/18bceb3c71c638bef58096274e1c9a6d323dbc0a/skills/training-check
    Licence
    MIT

    Notice

    « training-check » (wanshuiyin, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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