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Designing a resumable model evaluation v1.0.0
Use this resource to design a model benchmark that can be interrupted and resumed
New
- 430 downloads
- 140 likes
- 108 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install resumable-model-evaluation-designWith 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 freezes an evaluation revision, writes results atomically and separates first attempts from remediation runs. You get a comparable benchmark protocol that saves compute time.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: revision freezing and atomic result writing
- SKILL.md: benchmark semantics and early-stop rules
- agents/openai.yaml: configuration for Codex
Good fit for
- Your evaluation is slow or costly and may be interrupted
- You compare models without rerunning cases already done
Not for
Tags
- evaluation
- benchmark
- model
- resume
- reproducibility
About
You say
“Design the evaluation protocol for my three models, with resume after interruption.”
Skill published by bastos under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to design a model benchmark that can be interrupted and resumed
- Review and adjust the result
Content preview
Files
- agents/openai.yaml0.2 KB
- LICENSE1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md2.6 KB
Origin and licence
Listed unmodified
- Author
- bastos
- Source
- github.com/bastos/skills/tree/93f7d2c841e806f48373d3dd8a1b7ae30d9c8eaa/design-resumable-model-evaluation
- Licence
- MIT
Notice
« design-resumable-model-evaluation » (bastos, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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