dataset-quality-audit

仓库创建 2025年6月22日最近提交 1 天前SkillHot 收录 20 天前

▸ 精选理由

产出逐项得分与可操作修复建议，适合数据清洗与合规检查。

这个 Skill 做什么

对表格数据运行多维质量检测并给出评分与修复建议。

对 CSV/Excel/TSV/JSON 等表格数据做多维质量检测，找出缺失值、重复行、异常值、格式与类型不一致等，给出每个维度的评分、总体评级和可执行的修复建议。适合数据上线、建模或交付前做健康检查和清洗。特别之处是把问题量化为分数并列出具体修复步骤，方便直接落地处理。

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Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when users ask to check data quality, find missing or duplicate values, detect outliers, validate formats, profile data, or clean data.

数据与抓取数据质量CSV/Excel异常检测修复建议通用

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# dataset-quality-audit

A data quality auditing tool that runs 12-dimension quality checks on tabular data, producing per-dimension scores (0–100), an overall grade, and actionable fix suggestions.

## Capabilities

| Dimension | Description |
|-----------|-------------|
| Missing Values | Count and percentage of null/NaN values per column |
| Duplicate Rows | Number and percentage of fully duplicated rows |
| Type Consistency | Mixed types within a single column (e.g., numbers mixed with text) |
| Value Range / Outliers | Outlier detection using the IQR method |
| Format Compliance | Consistency of date, email, phone number, and other formatted fields |
| Uniqueness Constraints | Whether I

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