local-llm
local-llm is a Local & open models skill for AI agents, published by wcygan in the dotfiles repository on GitHub. Skillspace rates local-llm D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Manage local LLMs on Apple Silicon (M5 Max). Start/stop inference servers, pull models, benchmark, configure coding-agent harnesses, troubleshoot. Keywords ollama, mlx, mlx-lm, llama.cpp, gguf, local llm, inference, quantization, apple silicon, hermes agent, opencode, aider, MoE, prefill.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 192
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
- 88 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Managing ollama, mlx and llama.cpp servers on Apple Silicon
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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