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duplicate_row_check

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结构化表格重复行检测工具。仅检查CSV/TSV/Excel等表格型数据中的完全重复记录或指定列子集重复, 标记后续重复行并保留首次出现;不处理文本片段清理、文档去重或其他字段质控。

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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/cas-bigdatalab/piflow/blob/HEAD/workspace/skills/duplicate_row_check/SKILL.md

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Duplicate Row Check 重复行检测 Skill

功能概述

检测表格型结构化数据中的精确重复行。可指定列子集比较(如仅按 name+email 检测),首次出现的行标记为空(通过),后续重复行标记为质控标识。与去重类技能不同,duplicate_row_check 负责行级校验而不是删除重复行。

触发条件

当用户提到以下任务时,应使用此 skill:

  • 重复行检测
  • 完全重复记录检查
  • 指定列重复校验
  • 行级重复质控

核心参数说明

必需参数

参数说明
--input_path输入文件路径
--output_path输出文件路径
--qc_mark质控标识

可选参数

参数说明默认值
--dup_columns检测列,逗号分隔;不指定则全列比较全列比较
--mark_field_name质控标识字段名QC0000

输入文件格式

  • CSV、TSV、Excel、SPSS 等结构化表格文件

使用方法

python scripts/duplicate_row_check.py \
    --input_path data.csv \
    --output_path checked.csv \
    --dup_columns "name,email" \
    --qc_mark QC0020

输出示例

[QC FAIL] 发现 1 行重复 (检测列: ['name'])
[OK] 结果已写入 -> output.csv

注意事项

  1. 不指定 dup_columns 时全列比较(包含所有字段)
  2. keep='first' 保留首次出现,后续重复标记
  3. 与去重类技能不同,duplicate_row_check 不删除重复行,仅标记