FreeSkills
Commits, branches and sync with the but CLI
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- Claude Code
- Codex
- Cursor
- and 3 more
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Use this resource to monitor a model training run and catch broken runs early
New
Free
In a terminal, from the folder you want:
npx --yes palatekit@latest install ml-training-health-checksWith 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 loginThe 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.
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Updated November 2, 2026
You say
“Watch the current run and tell me if the loss diverges or a GPU sits idle.”

Skill published by wanshuiyin under the MIT license, delivered in its original version.
Listed unmodified
« training-check » (wanshuiyin, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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