hello-rocm-quick-deploy
hello-rocm-quick-deploy is a Local & open models skill for AI agents, published by datawhalechina in the hello-rocm repository on GitHub. Skillspace rates hello-rocm-quick-deploy D (66/100) and it passed the safety scan; the rating is based on static analysis only.
P1 新用户闪电部署检查表 —— 最简路径跑通第一个模型
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 143
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, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Checklist navigates this repo's own doc files
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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