local-inference
local-inference is a Local & open models skill for AI agents, published by crimson-knight in the llamero repository on GitHub. Skillspace rates local-inference D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Run AI models locally on Apple Silicon from Crystal with the llamero shard (Llamero::Native, MLX/Metal). Use when the user wants on-device or local LLM inference, local chat, token streaming, structured JSON output from a local model, or to load/keep a model resident in memory without cloud APIs like OpenAI. Also covers downloading mlx-community models and activating LoRA adapters.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Using the llamero Crystal shard for local MLX inference.
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
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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