by DSY-Xueai · Claude Skill · ★ 56
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is image2editable safe to install? View the security audit →
image2editable 中文 | English 图片、PDF、图片版 PPTX → 可编辑 PPTX []() image2editable 用于把图片、PDF 和截图式 PPT 转换成可以继续修改的 PowerPoint。它适合课件截图、设计稿、报告页面和图片化幻灯片，减少从零复刻整页版式的工作。 转换后，可以直接在 PowerPoint 中修改识别出的文字、移动拆分出的视觉元素，并继续调整页面内容；处理混合 PPTX 时，原本可编辑的内容会保留在文件中。 转换效果演示： 若是单独一张图片，为获得最佳的 16:9 PPT 视觉效果，建议输入图片采用 16:9 比例。 特点 单个组件修复周期最多接收 5 批修复计划，无改善或方案重复时提前停止该路径；只有通过质
npx skills add DSY-Xueai/image2editable --skill image-to-pptTaken 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 | 56 |
| Forks | 4 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-09 |
| Created | 2026-04-30 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
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image2editable is A skill tool for Codex and Claude Code that converts images, PDFs, and image-based PPTX files into editable PowerPoint presentations.. It is categorized as a Claude Skill with 56 GitHub stars.
image2editable is primarily written in Python. It covers topics such as ai-agents, claude-skills, codex-skill.
The README on GitHub (github.com/DSY-Xueai/image2editable) gives: npx skills add DSY-Xueai/image2editable --skill image-to-ppt. Usage details are in the same README.
image2editable is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to image2editable on Agent Skills Hub include thesis-defense-pptx-skill, slide-image-to-editable-pptx, document-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: