setup-env
setup-env is a Developer environment & CLI skill for AI agents, published by Diaugeia in the ModernTSF repository on GitHub. Skillspace rates setup-env D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Detect the machine's GPU and CUDA version and install or repair the project environment with uv, selecting the matching PyTorch backend (CPU or CUDA cuXXX). Use when setting up the project on a new machine, when torch.cuda.is_available() is False or imports fail, when switching hardware, or when the user asks how to install dependencies for their GPU.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 57
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
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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
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