No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by LeastBit · Claude Skill · ★ 583
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Claude_skills_zh-CN safe to install? View the security audit →
中文版本说明 亲爱的开发者们，这是一个经过整理和中文化的 Anthropic Skills 仓库。无论你是想快速了解 Claude 技能体系的最佳实践，还是需要直接上手 Word/PDF/PPTX/XLSX 处理脚本，这份中文版都能帮你省去大量摸索时间。 亮点速览： 🧩 原汁原味的官方示例：完整保留算法艺术、品牌规范、Slack GIF、MCP 服务器等全部技能。 📄 文档技能全译本：OOXML、docx-js、HTML 转 PPT 流程、PDF 表单填写等高级指南均已翻译补充。 📦 即取即用：学习后即可在 Claude Code、Claude.ai 或 API 中运用，快速体验技能生态。 如果你正在搭建企业内部 Copilot、需要示例脚本做二次开发，或者想学习 Anthropic 的技能设计模式，这份中文版资料会是绝佳起点。欢迎点赞、转发或 PR，一起把更多高质量的中文 AI 开发资料带给社区！ 本仓库保留了原始目录结构，并对说明文档进行了全面的汉化，旨在帮助中文开发者更好地利用 Claude 的强大能力。 项目目录结构 技能库详解 技能（Skills）是由说明、脚本和资源组成的文件夹，Claude 会按需加载它们以完成特定任务。以下是本仓库包含的所有技能及其作用： 创意与设计 algorithm
| Stars | 583 |
| Forks | 95 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 57.8991371309247/100 |
| Open Issues | 1 |
| Last Updated | 2026-01-19 |
| Created | 2025-10-20 |
| Platforms | claude-code, python |
| Est. Tokens | ~212k |
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Claude_skills_zh-CN is Anthropics/skills中文学习版本 来自：https://github.com/anthropics/skills. It is categorized as a Claude Skill with 583 GitHub stars.
Claude_skills_zh-CN is primarily written in Python. It covers topics such as claude, skills, study.
You can find installation instructions and usage details in the Claude_skills_zh-CN GitHub repository at github.com/LeastBit/Claude_skills_zh-CN. The project has 583 stars and 95 forks, indicating an active community.
The top alternatives to Claude_skills_zh-CN on Agent Skills Hub include awesome-claude-code-toolkit, ios-simulator-skill, douyin-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: