libreyolo-api-conventions
libreyolo-api-conventions is an API design & implementation skill for AI agents, published by LibreYOLO in the libreyolo repository on GitHub. Skillspace rates libreyolo-api-conventions D (59/100) and it passed the safety scan; the rating is based on static analysis only.
The rules every user-facing LibreYOLO surface must follow (Python API, CLI, dataset YAMLs, metric keys, Results fields) and the safe method for checking parity with the de-facto YOLO ecosystem conventions. Use when designing or reviewing any new public API, CLI command or flag, train/val kwargs, metric names, or Results attributes; when someone asks "what should this be called?", "should predict return a list?", or "is this compatible with standard YOLO tooling?"; or when an API-parity gap is reported. Encodes the AGENTS.md rule that user-facing APIs follow the ecosystem standard, and the license-safe way to verify that (docs only, never source).
- 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
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