by jinwyp · Agent Tool · ★ 166
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-ppt-skill safe to install? View the security audit →
open-kimi-ppt-skill 简体中文 | English 逆向 Kimi Slides 实现的非官方演示文稿 Skill，让 AI Coding Agent 可以创建、编辑、复刻、读取并导出 PPT/PPTX。每次生成默认产出两份文件：可继续编辑的 PPTD 项目，以及嵌入字体、带淡入淡出翻页切换的 PPTX。支持页内元素动画和预设主题，附带本地浏览器编辑器，可随时手动导出 PPTX。支持 Codex、Claude Code、Cursor、WorkBuddy 等任何兼容 SKILL.md 规范的 Agent。 [!IMPORTANT] 本项目通过逆向分析 Kimi Slides Skill、PPTD 格式以及公开网页编辑器的前端行为与通信协议实现，并非 Kimi 或 Moonshot AI 的官方项目，也未获得其认可或支持。项目依赖的公开前端资源和兼容协议可能随 Kimi 更新而失效，仅供学习与研究使用。 安装 需要 Node.js 18 或更高版本。请用 安装，不要 clone 仓库：仓库图片多、体积大， 只取打包后的 Skill 文件。默认装到共享目录 （Windows 为 ），多数 Agent 装一次即可发现。 方式一：让 AI 安装（推荐） 对 AI 说「帮我用 npx 安装 open-kimi-ppt skill」，或直接让它执行： WorkBuddy 用户：它发现不了共享目录，对 AI 说「帮我用 npx 安装 open-kimi-ppt skill 到 WorkBuddy」，或让它执行： 方式二：终端手动安装 与交互多选会检测以下目录：/.age
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 | 166 |
| Forks | 261 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 60.8596800308234/100 |
| Last Updated | 2026-08-07 |
| Created | 2026-08-05 |
| Platforms | browser, python |
| Est. Tokens | ~15k |
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open-ppt-skill is Slides Skill：让 AI Agent 生成可编辑 PPTD + PPTX，并附带本地浏览器编辑器 Slides skill for AI agents — generate editable PPTD + PPTX with a local browser editor. It is categorized as a Agent Tool with 166 GitHub stars.
open-ppt-skill is primarily written in Python.
You can find installation instructions and usage details in the open-ppt-skill GitHub repository at github.com/jinwyp/open-ppt-skill. The project has 166 stars and 261 forks, indicating an active community.
open-ppt-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to open-ppt-skill on Agent Skills Hub include claude-plugins, tutor-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: