Use when the user wants to test, compare, or choose local Ollama models for their machine. Checks Ollama/GPU state, recommends model sizes from available VRAM, preserves existing benchmark records, pulls only approved models, runs repeatable benchmarks, restores stopped services, and writes a markdown comparison report. NOT for hosted API model evaluation or subjective chat-quality judging without local benchmark commands.
How to install llm-benchmark?
kerberosclaw/kc_ai_skills/llm-benchmark
$npx -y skills add kerberosclaw/kc_ai_skills --skill llm-benchmarkInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/kerberosclaw/kc_ai_skills" --skill "kerberosclaw/kc_ai_skills/llm-benchmark"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/kerberosclaw/kc_ai_skills" that are relevant to the current task. Run `npx skills add "https://github.com/kerberosclaw/kc_ai_skills"` and select the relevant skills, then follow their instructions.
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