by sunchaokun · Codex Skill · ★ 319
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🔒 Is PPT-Design-Skill safe to install? View the security audit →
PPT Design Skill 基于 build 模式的精细化 PPT 设计系统 Precision PPT design system with 40,000+ styles, pixel-perfect build-mode control, and AI image generation 在 AI 编码工具中输入： → 自动调用 skill → 输出可编辑 .pptx English 中文 ✨ 案例展示 5 种风格，5 种场景 — 每个案例包含封面 + 内容页，AI 配图由 Seedream 生成 🏢 Professional Modern — 企业融资路演 深蓝商务风 · 金色点缀 · 左侧导航栏 · 四宫格数据卡片 🌌 Dark Tech — 科技产品发布 赛博朋克风 · 霓虹蓝紫粉 · Consolas 等宽字体 · 三列特性卡片 🏛️ Warm Elegant — 奢侈品牌策略 金色大理石风 · Georgia 衬线字体 · 居中编
git clone https://github.com/sunchaokun/PPT-Design-Skill.git
pip install --upgrade git+https://github.com/sunchaokun/PPT-Design-Skill.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 319 |
| Forks | 16 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-16 |
| Created | 2026-07-09 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
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PPT-Design-Skill is Precision PPT design skill for OpenCode/Claude Code/Codex, with 40,000+ styles, pixel-perfect Build Mode control, AI image generation, and fully editable PPTX. 面向专业演示设计场景，帮助用户从需求分析、视觉方向选择到原生可编辑 PPTX 交. It is categorized as a Codex Skill with 319 GitHub stars.
PPT-Design-Skill is primarily written in Python. It covers topics such as ai-coding-tools, claude-code-skills, codex.
The README on GitHub (github.com/sunchaokun/PPT-Design-Skill) gives: git clone https://github.com/sunchaokun/PPT-Design-Skill.git , then pip install --upgrade git+https://github.com/sunchaokun/PPT-Design-Skill.git. Usage details are in the same README.
PPT-Design-Skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to PPT-Design-Skill on Agent Skills Hub include slides_maker, skill-optimizer, skills. 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: