by zouchenzhen · Claude Skill · ★ 267
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Thesis Defense PPTX Skill 一个用于生成本科/研究生毕业论文答辩 PPT 的 Codex/Agent Skill。它面向需要严格复用本地 PowerPoint 模板的场景，能够从本地论文 PDF/LaTeX 项目和指定 模板出发，生成可编辑的正式答辩 PPTX，并执行逐页导出、版式检查和文字溢出检查。 English README 一分钟看效果 仓库自带最小可跑示例 ，在仓库根目录跑： 脚本会现场生成模板、可编辑 PPTX、dump 结构、scan 旧词，并输出 PPT 总览图。 下面四张参考图来自一份真实的郑州大学开题/答辩 PowerPoint 模板，但画面不是 模板原页截图，而是 示例内容被生成进模板后的 渲染结果： 这些图通过 指定本地真实模板生成： 模式会调用 ：不清空真实模板里的 复杂 shape，而是在模板页面上覆盖 生成的示例内容，输出真正可编辑 的 。README 图片
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 | 267 |
| Forks | 17 |
| Language | Python |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-05 |
| Created | 2026-04-30 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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thesis-defense-pptx-skill is Codex / Claude Skill for editable thesis-defense PPTX from PDF or LaTeX while preserving a PowerPoint template. 从论文 PDF / LaTeX 生成可编辑答辩 PPTX，并保留指定 PPT 模板风格。. It is categorized as a Claude Skill with 267 GitHub stars.
thesis-defense-pptx-skill is primarily written in Python. It covers topics such as agent-skill, chinese, claude-skill.
You can find installation instructions and usage details in the thesis-defense-pptx-skill GitHub repository at github.com/zouchenzhen/thesis-defense-pptx-skill. The project has 267 stars and 17 forks, indicating an active community.
thesis-defense-pptx-skill is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to thesis-defense-pptx-skill on Agent Skills Hub include Mck-ppt-design-skill, brand-docs, mckinsey-pptx. 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.
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