local-ai-models
local-ai-models is a Local & open models skill for AI agents, published by mintuz in the skills repository on GitHub. Skillspace rates local-ai-models C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Comprehensive guide for implementing on-device AI models on iOS using Foundation Models and MLX Swift frameworks. Use WHEN building iOS apps with (1) Local LLM inference, (2) Vision Language Models (VLMs), (3) Text embeddings, (4) Image generation, (5) Tool/function calling, (6) Multi-turn conversations, (7) Custom model integration, or (8) Structured generation.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Apple Foundation Models and MLX Swift framework usage
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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