ollama-optimizer

ollama-optimizer is a Local & open models skill for AI agents, published by luongnv89 in the skills repository on GitHub. Skillspace rates ollama-optimizer B (84/100) and it passed the safety scan; the rating is based on static analysis only.

Optimize Ollama configuration for the current machine's hardware. Use when asked to speed up Ollama, tune local LLM performance, or pick models that fit available GPU/RAM. Don't use for LM Studio, llama.cpp, vLLM, or hosted-API LLM providers.

Grade
B
Quality
84 / 100
Safety
Passed
GitHub stars
96

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
Packaged: licensed, with a version or references
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. Tunes the public Ollama local LLM runtime

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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