llmfit-advisor
llmfit-advisor is a Local & open models skill for AI agents, published by AlexsJones in the llmfit repository on GitHub. Skillspace rates llmfit-advisor D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 29,486
Placed #3 of 6 in the judged category final for Local & open models.
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 4 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic hardware-based local LLM recommender, not tied to one product
Judge review
Placed #3 of 6 in the judged category final for Local & open models.
- Trigger
92 92 - Instructions
85 85 - Specificity
90 90 - Safety
90 90 - Disclosure
65 65 - Maintenance
55 55
Excellent trigger coverage and concrete hardware-to-model fit scoring, though it is one long reference dump with no file splitting.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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