libreyolo-verify-training
libreyolo-verify-training is a Model training & evaluation skill for AI agents, published by LibreYOLO in the libreyolo repository on GitHub. Skillspace rates libreyolo-verify-training D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Prove that a LibreYOLO model actually trains correctly, not just that train() runs without crashing. Use when adding or changing a trainer, loss, augmentation, scheduler, or DDP path; when someone asks "does training work for family X?", "is this model trainable?", or reports bad fine-tune results; or before claiming a new family's training is production-ready. Covers the confidence ladder (overfit gate, RF1 marbles floor, regression and RF5 tiers, full-run spot checks), the objective definition of "experimental training", the recurring silent-training-bug classes and how to hunt each one, and how to watch a live run. Speed problems are libreyolo-profiling; running the suites is libreyolo-run-e2e-tests.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 493
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.