univariate-analysis
univariate-analysis is an Exploratory analysis & notebooks skill for AI agents, published by aliyun in the qwen-dianjin repository on GitHub. Skillspace rates univariate-analysis D (65/100) and it passed the safety scan; the rating is based on static analysis only.
【单变量分析】当用户提到"分析某个/某些特征"、"看看xxx特征"、"xxx特征分布"、"帮我分箱"、"交叉分布"、"筛选特征"、"分析一下xxx"等涉及少量特征分析的请求时使用。支持两种模式:(1) 无目标变量:等频/等距分箱分布、交叉分布表;(2) 有目标变量:IV值和分箱明细。适用场景关键词:分析特征、看特征、特征分布、分箱、交叉分析、IV值、单个特征、几个特征。与 feature-analysis 的区别:聚焦少量特征的快速分析,不含全量相关性和方案推荐。
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 612
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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.