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🔒 Is ppt-master-plus safe to install? View the security audit →
PPT Master Plus 是一个面向高质量、可编辑 PPTX 生产的通用 AI agent skill。它以 的 SVG→PPTX 方法论和制作链路为底座，在本仓库中补强 PPTX intake、保真美化、原生编辑、Confirm UI、可复用设计资产和软依赖绘图路由。 它的目标不是”快速吐几页幻灯片”，而是把资料理解、叙事组织、视觉规范、逐页制作、讲稿质检和最终导出串成一条可控的生产线。 用户只需选择三类目标：重新生成/设计页面走 Generate PPTX；保留现有 演示文稿并局部修改走 Edit Native PPTX；显式导入用户给定的 文件作为品牌参考、再用另一组内容生成新文件走 Import Brand PPTX。详细判定见 。 安装 复制以下 prompt，发给你的 AI Agent 即可完成安装： 与 ppt-master 的功能对比 是在 的基础上进行了全方位能力扩充的进阶版本。以下是核心功能的对比： 默认在八项设计确认后连续生成整份 PPT；长文档可在 Step 5 后
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 | 69 |
| Forks | 8 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 52.8408418922842/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-06 |
| Created | 2026-06-27 |
| Platforms | python |
| Est. Tokens | ~19k |
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ppt-master-plus is PPT Master Plus skill: editable PPTX generation, beautification, speaker notes, live preview, and templates. It is categorized as a AI Tool with 69 GitHub stars.
ppt-master-plus is primarily written in Python.
You can find installation instructions and usage details in the ppt-master-plus GitHub repository at github.com/gnuhpc/ppt-master-plus. The project has 69 stars and 8 forks, indicating an active community.
ppt-master-plus is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ppt-master-plus on Agent Skills Hub include redesigned-pancake, claude-code-voice-skill, maui-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: