3,758 Open Skills

Free to get · One-click to use

✅ Keyword search & category filters
✅ Discussions & community interaction
✅ Version updates & multi-metric ranking
✅ Open SKILL.md standard

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
moyupeng0422 moyupeng0422
from GitHub Tools & Productivity
参考 Python 自动化

法律文件脱敏处理

法律文件脱敏/还原工具 - 将法律文档中的敏感信息进行智能替换和脱敏处理，或将脱敏稿还原为原文 <examples> - 帮我把这份合同脱敏处理 - 我需要脱敏这个法律文件 - 生成脱敏版本的合同文档 - 将这份法律文书中的敏感信息替换掉 - 创建合同的脱敏版本 - 帮我把脱敏稿还原成原文 - 使用比对词还原审核稿 </examples> --- # 法律文件脱敏处理 将法律文档中的敏感信息进行智能替换和脱敏处理，生成可对外分享的脱敏版本。支持将脱敏稿交由外部审核后，使用比对词还原为原文。 ## 核心功能 ### 脱敏功能 - **多种脱敏类型**：名称、日期、价格、文件名、项目名、银行账号、案号等 - **自定义脱敏类型**：创建自定义类型（如"合同名称"、"产品型号"），批量输入精准匹配内容 - **批量模式**：多文件上传自动进入批量模式，统一编号确保跨文件一致性 - **规则设置**：可自主开启/关闭16种内置脱敏类别，灵活控制识别范围 - **智能替换**：根据上下文识别角色（买方/卖方公司） - **实时预览**：黄色高亮显示脱敏内容 - **格式保留**：完整保留原文格式（段落、表格、字体） - **白名单/黑名单管理**：精确控制特定内容的脱敏行为；黑名单支持记录项目类型 - **优先级机制**：黑名单 > 白名单 > 脱敏类别（内置+自定义） - **冲突检测**：添加到列表时自动检测是否已存在于其他列表 - **调试模式**：详细日志输出，便于排查问题 ### 还原功能 - **自动化还原**：根据比对词自动将【X】标记还原为原文 - **批量还原**：支持多文件同时还原，自动匹配文件配对，ZIP打包下载 - **保留审核痕迹**：还原时保留文档中的修订、批注等审核痕迹 - **runs级别替换**：精确替换，不影响其他内容的格式 ## 使用方式 ### HTML离线工具（推荐） #### 脱敏模式 **单文件脱敏：** 1. 打开 `assets/index.html`，选择"脱敏模式" 2. 拖拽或选择单个 docx 文件上传 3. 自动识别并预览脱敏效果 4. 手动编辑脱敏项 5. 导出脱敏文件和比对.md文档 **批量脱敏：** 1. 上传多个 docx 文件，自动进入批量模式 2. 统一识别：相同内容使用相同替换文本 3. 文件切换：通过列表栏切换查看各文件 4. 同步编辑：删除/添加脱敏项会同步到所有文件 5. 导出结果：每个文件生成独立的 `{文件名}_比对.md` #### 还原模式 **单文件还原：** 1. 打开 `assets/index.html`，选择"还原模式" 2. 上传脱敏稿（带审核痕迹的docx） 3. 上传对应的比对.md文件 4. 点击"执行还原"，自动下载还原后的文件 **批量还原（4步流程）：** 1. **上传文件**：上传多个脱敏稿 + 多个比对.md文件 2. **确认配对**：系统自动匹配文件名，支持手动调整 3. **执行还原**：批量处理，显示进度条 4. **下载结果**：ZIP打包下载 ### Python脚本 ```bash # 安装依赖 pip install python-docx # 执行脱敏 python scripts/redact.py input.docx data/rules.json -o output.docx # 执行还原（保留修订、批注） python scripts/restore.py redacted.docx mapping.md -o restored.docx ``` ## 详细文档 - **工作流程**: [references/workflow.md](references/workflow.md) - **规则模式库**: [references/patterns.md](references/patterns.md) - **数据格式**: [references/data-formats.md](references/data-formats.md) - **脚本使用**: [scripts/README.md](scripts/README.md) - **HTML使用**: [assets/README.md](assets/README.md) ## 版本历史 - **v1.4.0（2026-03-11）批量模式优化**： - **独立比对文件**：批量导出时每个文件生成独立的 `{文件名}_比对.md`，存放在 `比对文件/` 文件夹中 - **批量模式一致性**：相同内容在不同文件中使用相同替换文本 - **v1.3.1（2026-03-02）规则开关控制**： - 新增"规则设置"功能：可自

⬇0 ❤30 11 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up