hf-mem
hf-mem is a Local & open models skill for AI agents, published by huggingface in the skills repository on GitHub. Skillspace rates hf-mem D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 11,043
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
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Also published in 1 other repo
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.