cas-bigdatalab/piflow/clean-email-mapper

Claude Code and agent skill by cas-bigdatalab/piflow

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清理文本样本中的电子邮件。当用户提到清理邮件、删除邮箱、去除邮件地址、清理个人信息等需求时使用此skill。 即使用户没有明确说出"邮件"，只要任务涉及从文本中删除或替换邮箱地址，就应该使用此skill。

Install

npx vskill@latest install cas-bigdatalab/piflow/clean-email-mapper

SKILL.md

The same SKILL.md was published earlier as majiayu000/claude-skill-registry/clean-email-mapper.

Clean Email Mapper

清理文本中的电子邮件地址。

本SKILL使用依赖data_juicer，请在调用前安装好python环境并安装data_juicer，你可用同以下指令进行安装：

pip install py-data-juicer

核心参数

参数类型必填默认值说明
input_pathstring是-输入JSON文件路径
output_pathstring是-输出JSON文件路径
patternstring否默认邮箱正则正则表达式模式
replstring否空字符串替换字符串（默认为删除）

使用方法

bash
python scripts/run_clean_email_mapper.py --input_path <input_path> --output_path <output_path> [--repl <replacement>]

实现原理

参照测试代码 test_clean_email_mapper.py 中的 _run_clean_email 函数：

python
# 1. 初始化算子
op = CleanEmailMapper()  # 删除邮件
# 或
op = CleanEmailMapper(repl='<EMAIL>')  # 替换为指定字符串
# 2. 将数据转为Dataset，使用 op.run(dataset) 处理
dataset = Dataset.from_list(samples)
result_dataset = op.run(dataset)

输入输出格式

输入格式 (JSON数组)
json
[
  {"text": "请联系我：user@example.com"},
  {"text": "邮箱是 abc@123.com，请回复"}
]
输出格式 (JSON数组)
json
[
  {"text": "请联系我："},
  {"text": "邮箱是 ，请回复"}
]

示例

示例1：删除邮件地址（默认）
bash
python scripts/run_clean_email_mapper.py --input_path example_input.json --output_path output.json
示例2：替换为占位符
bash
python scripts/run_clean_email_mapper.py --input_path example_input.json --output_path output.json --repl "<EMAIL>"

注意事项

  • 默认行为是删除邮件地址
  • 可以指定 repl 参数来替换为其他字符串
  • 支持自定义正则表达式模式

Security

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Source

Popularity

Repository stars
541
Repository forks
172
7-day trend score
0

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