feature-analysis

feature-analysis is an Experimentation & statistics skill for AI agents, published by aliyun in the qwen-dianjin repository on GitHub. Skillspace rates feature-analysis D (65/100) and it passed the safety scan; the rating is based on static analysis only.

【特征深度分析】当用户需要"全面分析特征"、"生成特征报告"、"看相关性"、"推荐建模方案"、"跑一遍特征"、"特征全景"、"哪些特征有用"时使用。包含四大维度:基础统计、IV值、PSI稳定性、相关性分析,输出四套建模特征方案。前提条件:必须提供目标变量。不做单特征快速探索,不做模型训练。与 univariate-analysis 的区别:本 Skill 是全量特征深度分析+方案推荐,univariate-analysis 聚焦少量特征快速分析。

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
612

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
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

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