docformat-gui: 公文格式自动处理工具（可本地运行）

by KaguraNanaga · Claude Skill · ★ 793

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install docformat-gui

git clone https://github.com/KaguraNanaga/docformat-gui.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 59/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

chinese-documentchinese-documentationclaude-codeclaudecodedocformatterdocumentation-tooldocumentformat

Quick Facts

Stars793
Forks79
LanguagePython
CategoryClaude Skill
Quality Score59/100
Open Issues21
Last Updated2026-09-25
Created2026-02-04
Platformsclaude-code, python
Est. Tokens~15k

About docformat-gui

Document Format GUI (公文格式处理工具) 一键修复 Word 文档格式，让排版不再头疼。 立即下载 · 核心能力 · 使用方法 · 常见问题 · English 项目简介 这是一个专为解决 Word 文档格式混乱问题而设计的极简工具。它采用了现代化的纸质感 UI 设计，能够智能识别文档中的标点、排版和字体问题，并可以根据国家标准（GB/T 9704-2012）进行一键自动化修复。 特点： 🎯 极简操作 — 即使是电脑小白也能上手即用 🔒 安全离线 — 纯本地运行，数据不联网，保障公文安全 📋 标准规范 — 严格遵循党政机关公文格式标准 v1.8.4 更新： 🐛 自定义格式生效修复 — 修复源码运行和打包运行读取自定义配置路径不一致，导致保存后的自定义格式没有真正应用的问题 🪟 主窗口尺寸优化 — 默认窗口宽度加大，文件输入与操作区域显示更舒展 🧩...

Compatible Skills

These tools work well together with docformat-gui for enhanced workflows:

  • anyrouter-check-in — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
  • jdocmunch-mcp — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • pg-aiguide — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • dash-mcp-server — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • ExtractThinker — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools