libreyolo-checkpoint-metadata
libreyolo-checkpoint-metadata is a Model training & evaluation skill for AI agents, published by LibreYOLO in the libreyolo repository on GitHub. Skillspace rates libreyolo-checkpoint-metadata D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Inspect, validate, produce, and debug LibreYOLO .pt checkpoint metadata. Use when a checkpoint won't load ("not a LibreYOLO checkpoint", wrong family/task/class-count errors), when writing or reviewing a conversion script, when deciding what a converter must emit, when preparing weights for HF upload, or when a schema change is proposed. Covers the inspection commands, the serialization helpers that are the only sanctioned writer/reader, the lean-vs-training checkpoint distinction, the legacy/foreign-weights paths and auto-conversion, and the contract-change protocol. The schema itself lives in docs/checkpoint_schema.md; this skill is how to work with it.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 493
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
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