by deathcats4 · Codex Skill · ★ 49
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is scholar-ppt-cn safe to install? View the security audit →
AI academic PPT workflow skill for Codex / ChatGPT: paper-to-editable PowerPoint, planning table, mockup family, and PPTX generation.
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 | 49 |
| Forks | 6 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 56.3879831719054/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-07 |
| Created | 2026-06-03 |
| Platforms | codex, python |
| Est. Tokens | ~13k |
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小北在读研开源 Codex Skills 合集：Image to VBA、Academic Paper to PPT 等 AI + 科研工作流。
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scholar-ppt-cn is AI academic PPT workflow skill for Codex / ChatGPT: paper-to-editable PowerPoint, planning table, mockup family, and PPTX generation.. It is categorized as a Codex Skill with 49 GitHub stars.
scholar-ppt-cn is primarily written in Python. It covers topics such as academic-presentation, ai, chatgpt.
You can find installation instructions and usage details in the scholar-ppt-cn GitHub repository at github.com/deathcats4/scholar-ppt-cn. The project has 49 stars and 6 forks, indicating an active community.
scholar-ppt-cn is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to scholar-ppt-cn on Agent Skills Hub include xiaobei-skill, c4-genai-suite, odin-slides. 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: