select-trainer
select-trainer is a Model training & evaluation skill for AI agents, published by mathLab in the PINA repository on GitHub. Skillspace rates select-trainer D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Guides users through configuring the PINA Trainer for solver training, including batching strategy, data splitting, and Lightning options. Use when the user asks "how do I train", "how to train", "set up training", "trainer", "Trainer", "train my model", "fit", "training loop", or similar. Also triggers when the user mentions batching, training configuration, train/val/test split, or is confused about how to start training.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 781
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 82 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- 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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