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Document Sanitizer

by @longjf25

Batch desensitize docx/xlsx files via keyword and regex rules, with one-click reversible restoration. Replace sensitive terms (company names, personal info,...

Versionv1.5.1
Downloads1,026
TERMINAL
clawhub install document-sanitizer

📖 About This Skill


name: document-sanitizer description: > Batch desensitize docx/xlsx files via keyword and regex rules, with one-click reversible restoration. Replace sensitive terms (company names, personal info, phone numbers, IDs, emails) with safe placeholders, then restore originals anytime using the unified mapping record. description_zh: "批量对 docx/xlsx 文件执行关键字和正则脱敏替换,支持一键反向恢复" description_en: "Batch desensitize docx/xlsx files via keyword and regex rules, with one-click reversible restoration" license: MIT metadata: version: "1.5.1" category: document-processing author: longjf25 platform: Cross-platform requirements: - Python 3.8+ - python-docx - openpyxl - (Optional) pywin32 + Microsoft Word for .doc auto-conversion on Windows - (Optional) xlrd for .xls auto-conversion triggers: - desensitize documents - sanitize docx xlsx - 文档脱敏 - 批量脱敏 - 敏感词替换 - 脱敏恢复 - document sanitization - redact sensitive data

document-sanitizer

技能说明 / Skill Description

概述 / Overview

本技能用于批量对 Word (.docx) 和 Excel (.xlsx) 文件执行脱敏处理,支持关键字精确替换和正则表达式动态替换,并提供一键恢复功能。

This skill batch-desensitizes Word (.docx) and Excel (.xlsx) files using keyword exact-match and regex dynamic replacement, with one-click reversible restoration.

核心特性 / Key Features

| 特性 | 说明 / Description | |------|-------------------| | 关键字精确替换 / Exact Match | 配置关键字对,替换为带 [] 标记的占位符(如"白云"→[黑水])| | 正则动态替换 / Regex Dynamic | 匹配手机号、身份证号、邮箱等,自动生成占位符如 [RED_手机号_1] | | 文件名脱敏 / Filename Sanitization | 默认开启,输出文件自动使用脱敏后的文件名 | | 统一脱敏记录 / Unified Record | 所有映射累积到 _sanitize_record.json,无论文档如何修改都能恢复 | | 一键恢复 / One-Click Restore | 读取记录反向替换,还原文件名和内容,校验残留占位符 | | 旧格式自动转换 / Legacy Format Conversion | 检测到 .doc/.xls 时提示自动转换为 .docx/.xlsx |


前置依赖 / Prerequisites

Python 包依赖 / Python Dependencies

pip install python-docx openpyxl

可选依赖(旧格式转换)/ Optional (Legacy Format Conversion)

pip install xlrd pywin32

  • .doc → .docx 转换需要 Windows + Microsoft Word(使用 Word COM 自动化)
  • .xls → .xlsx 转换使用 xlrd + openpyxl(跨平台)

  • 使用方法 / Usage

    1. 准备配置文件 / Prepare Config File

    在工作目录下创建 _sanitize_config.json:

    Create _sanitize_config.json in your workspace:

    {
      "exact_rules": [
        {"pattern": "白云", "replacement": "黑水"},
        {"pattern": "南方", "replacement": "北风"},
        {"pattern": "广州", "replacement": "镇北"}
      ],
      "regex_rules": [
        {"pattern": "1[3-9]\\d{9}", "label": "手机号"},
        {"pattern": "\\d{6}(?:19|20)\\d{2}(?:0[1-9]|1[0-2])(?:0[1-9]|[12]\\d|3[01])\\d{3}[\\dXx]", "label": "身份证号"},
        {"pattern": "[a-zA-Z0-9._%+\\-]+@[a-zA-Z0-9.\\-]+\\.[a-zA-Z]{2,}", "label": "邮箱"}
      ]
    }
    

    2. 执行脱敏 / Run Sanitization

    # 基本脱敏(默认脱敏文件名)
    python /scripts/sanitize.py sanitize <工作目录>

    不脱敏文件名

    python /scripts/sanitize.py sanitize <工作目录> --no-rename

    自动转换 .doc/.xls 旧格式文件

    python /scripts/sanitize.py sanitize <工作目录> --auto-convert

    3. 恢复文档 / Restore Documents

    python /scripts/sanitize.py restore <工作目录>
    


    命令行参数 / CLI Arguments

    | 参数 / Argument | 说明 / Description | |----------------|-------------------| | sanitize | 执行脱敏 / Run sanitization | | restore | 恢复文档 / Restore documents | | --no-rename | 不对文件名脱敏 / Skip filename sanitization | | --auto-convert | 自动转换 .doc/.xls,无需确认 / Auto-convert legacy formats |


    输出目录 / Output Directories

    | 目录 / Directory | 说明 / Description | |-----------------|-------------------| | _sanitized_output/ | 脱敏后的文件 / Sanitized files | | _restored_output/ | 恢复后的文件 / Restored files | | _sanitize_record.json | 统一脱敏记录(映射累积)/ Unified record (accumulative mapping) | | _sanitize_config.json | 脱敏规则配置 / Sanitization rules config |


    脱敏记录结构 / Record Structure

    {
      "version": 2,
      "created_at": "2026-04-08 16:02:07",
      "last_updated": "2026-04-08 16:02:07",
      "mapping": {
        "黑水": "白云",
        "[RED_手机号_1]": "13828417396"
      },
      "filename_mapping": {
        "黑水物流文档.docx": "白云物流文档.docx"
      },
      "runs": [
        {"timestamp": "...", "files_processed": ["..."]}
      ]
    }
    

    核心原理 / Core Principle:只要 mapping(脱敏值→原始值)完整,无论文档经过多少修改,都可以用它来反向替换恢复。

    As long as the mapping (sanitized value → original value) is complete, documents can be restored regardless of modifications.


    示例 / Examples

    示例 1:基本脱敏流程 / Example 1: Basic Sanitization

    # 1. 创建配置文件 _sanitize_config.json
    

    2. 执行脱敏

    python sanitize.py sanitize ./my-docs

    输出:

    [RENAME] 白云物流文档.docx → 黑水物流文档.docx

    [1/1] 白云物流文档.docx [OK]

    脱敏输出目录: ./my-docs/_sanitized_output

    示例 2:脱敏后恢复 / Example 2: Sanitize then Restore

    # 脱敏
    python sanitize.py sanitize ./my-docs

    恢复(可多次执行,对修改后的文档也有效)

    python sanitize.py restore ./my-docs

    输出:

    [RENAME] 黑水物流文档.docx → 白云物流文档.docx

    [OK] 无残留占位符

    示例 3:处理包含旧格式文件的目录 / Example 3: Directory with Legacy Files

    # 自动转换 .doc/.xls 并脱敏
    python sanitize.py sanitize ./my-docs --auto-convert
    


    技术要点 / Technical Notes

    1. Word run 拆分 / Run Splitting: Word 会将文本拆分到多个 元素中,脚本先合并所有 w:t 文本再替换再写回,确保跨 run 的关键字也能正确匹配

    Word splits text across multiple elements. The script merges all w:t text first, applies replacements, then writes back — ensuring cross-run keywords are correctly matched.

    2. 反向替换顺序 / Reverse Order: 恢复时按 key 长度降序替换,避免短 key 误匹配长 key 的子串

    Restoration sorts keys by length descending to prevent short keys from partially matching longer keys.

    3. 脱敏范围 / Scope: 仅支持 .docx/.xlsx 格式。.doc/.xls 旧格式需先转换(可自动完成)

    Only .docx/.xlsx are supported. Legacy .doc/.xls must be converted first (auto-conversion available).

    4. 原始文件安全 / Original Safety: 原始文件不会被修改,所有操作在输出目录中进行

    Original files are never modified — all operations happen in output directories.


    错误处理 / Error Handling

    | 错误 / Error | 解决方法 / Solution | |-------------|-------------------| | "未找到配置文件" / Config not found | 在工作目录创建 _sanitize_config.json | | "python-docx import error" | 运行 / Run: pip install python-docx | | "openpyxl import error" | 运行 / Run: pip install openpyxl | | ".doc 转换失败" / .doc conversion failed | 确保 Windows + Word 已安装 / Ensure Word is installed | | "残留占位符" / Residual placeholders | 检查脱敏记录是否完整 / Check record completeness |