ray-train
ray-train is a Model training & evaluation skill for AI agents, published by davila7 in the claude-code-templates repository on GitHub. Skillspace rates ray-train B (85/100) and it passed the safety scan; a judge model has also reviewed it.
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.
- Grade
- B
- Quality
- 85 / 100
- Safety
- Passed
- GitHub stars
- 30,694
Placed #4 of 6 in the judged category final for Model training & evaluation.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Model training & evaluation.
- Trigger
75 75 - Instructions
68 68 - Specificity
64 64 - Safety
80 80 - Disclosure
42 42 - Maintenance
38 38
Covers scaling and Ray Tune integration adequately but with fewer concrete numbers or edge cases than the top three.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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