by tangonho · Codex Skill · ★ 10
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is iml-pptx safe to install? View the security audit →
Claude Code 复刻 Codex 的『可编辑 PPTX』skill：把文案/整页PPT图重建成对象级可编辑的 PowerPoint（原生文本框+形状，非整页截图）。出图需自备 OpenAI gpt-image-2 (Image 2) API key。Ported from ningzimu's Codex skills (MIT).
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 | 10 |
| Forks | 1 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 60.8596800308234/100 |
| Last Updated | 2026-06-05 |
| Created | 2026-06-05 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
Looking for a iml-pptx alternative? If you're comparing iml-pptx with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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iml-pptx is Claude Code 复刻 Codex 的『可编辑 PPTX』skill：把文案/整页PPT图重建成对象级可编辑的 PowerPoint（原生文本框+形状，非整页截图）。出图需自备 OpenAI gpt-image-2 (Image 2) API key。Ported from ningzimu's Codex skills (MIT).. It is categorized as a Codex Skill with 10 GitHub stars.
iml-pptx is primarily written in Python. It covers topics such as ai-presentation, claude, claude-code.
You can find installation instructions and usage details in the iml-pptx GitHub repository at github.com/tangonho/iml-pptx. The project has 10 stars and 1 forks, indicating an active community.
The top alternatives to iml-pptx on Agent Skills Hub include slidemuse, claude-image, openwebui-generate-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: