image-to-editable-ppt-skill: Codex skill for converting slide images, PDFs, and image-based PPTX files into editable PowerPoint decks

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

🧪 Tested by Agent Skills Hub

One of 28 tools we ran end to end on the same task for our PPT Skills for Codex & Claude Code page (2026-10-07).

No. 5 in "The 5 best PPT skills in 2026, by our test".

Result: Converted codex-ppt-skill's all-image deck: 0 → 2,224 editable characters, 78 separate icons · Ready after touch-ups · Editability L2 · + drawn shapes · content rubric 96% · 10.1 min

See the slides → · See the whole test →

Quick Facts

About image-to-editable-ppt-skill

Image to Editable PPT Skill 一个用于把图片、PDF、图片版PPT 转成可编辑 PowerPoint 的 skill。它先把输入归一化为逐页任务，再重建为 ：可读文字尽量恢复为原生文本框，简单几何尽量恢复为 PowerPoint 形状，复杂视觉元素保留为带来源记录的独立图片资产。 它适合把截图式或图片式幻灯片变成更容易二次编辑的 PPT，让文字、简单形状和视觉素材尽量分开调整。 [!WARNING] 目前该skill 采用了多智能体协作复原流程，有着复杂的流程控制，不是轻量转换器。AI 会执行“重建 → 自我检查 → 页面内修正”的循环，并可能进行多轮迭代，直到它认为结果足够接近原图。在这个过程中，page worker 可能会对页面做很多轮尝试，因此整体上比较费 token。 推荐 ChatGPT Pro 用户使用；Plus 用户请谨慎使用。 复原一个 10...

image-to-editable-ppt-skill alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this