deploy-linux-gpu
deploy-linux-gpu is an MLOps & model serving skill for AI agents, published by Mesh-LLM in the mesh-llm repository on GitHub. Skillspace rates deploy-linux-gpu F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.
Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.
Use this skill when deploying, installing, launching, or serving mesh-llm on a remote Linux GPU node (rented GPUs like Vast.ai or RunPod, or a self-managed CUDA server), including installing the CUDA build, choosing a model, keeping it alive under a supervisor, and verifying it serves.
- Grade
- F
- Quality
- 15 / 100
- Safety
- Unsafe
- GitHub stars
- 3,400
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 91 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Critical-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- pipe remote script to shell
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.