Evaluate trained model performance through benchmarking, detect regressions against baseline metrics, and validate checkpoint quality. Use when adding evaluation jobs, defining benchmark suites, tracking metrics across training runs, or building regression detection logic.
EnglishImprove the auto-parallelism advisor and training configuration logic. Use when optimizing parallelism search, fixing throughput heuristics, or updating mutating webhook defaults for training jobs.
English
AGENT SKILLS ATLASIncludes Model Eval and Model Trainer.
Claude Code
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GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Model Eval
Evaluate trained model performance through benchmarking, detect regressions against baseline metrics, and validate checkpoint quality. Use when adding evaluation jobs, defining benchmark suites, tracking metrics across training runs, or building regression detection logic.
Model Trainer
Improve the auto-parallelism advisor and training configuration logic. Use when optimizing parallelism search, fixing throughput heuristics, or updating mutating webhook defaults for training jobs.
Quick start
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Try it with your agent
After installation, start with a request like:
Use the Model Eval skill to help with my task.
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