model-training
model-training is a Computer vision skill for AI agents, published by SharpAI in the DeepCamera repository on GitHub. Skillspace rates model-training C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Agent-driven YOLO fine-tuning — annotate, train, export, deploy
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 2,908
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. References this project's own Aegis Training Agent system
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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