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 →
by w1163222589-coder · Codex Skill · ★ 179
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is slide-image-to-editable-pptx safe to install? View the security audit →
Slide Image → Editable PPTX High-Fidelity Conversion of Slide Screenshots into Editable PowerPoint Turn slide screenshots into pixel-accurate, fully editable PowerPoint files. Text stays editable. Complex visuals become clean AI-generated PNGs. Simple shapes become native PPT objects. English | 中文 The Problem You have a set of PPT slide images (screenshots, exported PNGs, or AI-generated mockups) and you want them back as an editable file — not a deck of full-slide screenshots pasted as backgrounds. Existing approaches fail in predictable ways: The Solution This skill teaches Codex (or any compatible AI coding agent) to decompose each slide image into three layers, then rebuild them as a real PowerPoint file: |
| Stars | 179 |
| Forks | 14 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.472586848457/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-17 |
| Created | 2026-05-27 |
| Platforms | codex |
| Est. Tokens | ~18k |
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slide-image-to-editable-pptx is A Codex skill for converting slide screenshots into editable PowerPoint decks.. It is categorized as a Codex Skill with 179 GitHub stars.
You can find installation instructions and usage details in the slide-image-to-editable-pptx GitHub repository at github.com/w1163222589-coder/slide-image-to-editable-pptx. The project has 179 stars and 14 forks, indicating an active community.
slide-image-to-editable-pptx is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to slide-image-to-editable-pptx on Agent Skills Hub include mckinsey-pptx, thesis-defense-pptx-skill, 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: