outlier-detection-and-quality-assessment

outlier-detection-and-quality-assessment is an Exploratory analysis & notebooks skill for AI agents, published by OpenSenseNova in the SenseNova-Skills repository on GitHub. Skillspace rates outlier-detection-and-quality-assessment D (65/100) and it passed the safety scan; the rating is based on static analysis only.

执行全面的异常值检测与数据质量评估，利用 IQR 方法识别异常值并结合偏度、峰度分析数据分布特征，适用于非正态分布数据的预处理阶段。

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
5,614

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.

View source on GitHubOpenSenseNova/SenseNova-Skills

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

Better-rated skills in Exploratory analysis & notebooks

Also published in 1 other repo

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