mllm-data-kit
mllm-data-kit is a Fine-tuning & training data skill for AI agents, published by mvp-ai-lab in the mvp-engine repository on GitHub. Skillspace rates mllm-data-kit D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Use and extend the MVP-Engine MLLM data kit with explicit specs, handlers, and sample objects. Use for recipe data wiring, MLLMDataSpec construction, source resample/resolve_refs policy, schema/media/tokenization handlers, packing, guards, collation, dataloader setup, Qwen VL data support, and multimodal data extensions.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 24
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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