figedit: Turn raster figures into editable SVG and native PowerPoint files

by giszzt · Agent Tool · ★ 185

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install figedit

git clone https://github.com/giszzt/figedit.git ~/.codex/skills/figedit
git clone https://github.com/giszzt/figedit.git ~/.claude/skills/figedit

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 59/100

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.

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.

agent-skilleditable-graphicsimage-to-svgocrpowerpointpptxsvg

Quick Facts

Stars185
Forks16
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score59/100
Open Issues1
Last Updated2026-09-24
Created2026-06-20
Platformspython
Est. Tokens~16k

About figedit

FigEdit · 图易编 让压平的图,重新可编辑。 把截图、论文配图、流程图、海报和 AI 生成图片重建为可编辑 SVG 与原生 PowerPoint。 中文 · English 效果案例 · 快速开始 · 工作原理 · 更新日志 · 致谢 这是什么 FigEdit(中文名「图易编」)是一个 AI Agent Skill。给它一张截图、论文配图、AI 生成的幻灯片、技术架构图、海报封面、或者任何图片格式的图形,它会把图片拆解重建成可编辑的矢量图形包——文字变成真正的文字,形状变成矢量形状,公式变成可编辑的方程,图标和照片作为可替换的图片资产保留,连嵌在照片和插画里的文字,也能连同背景一起重建成可编辑的分层结构。 应用场景 AI 生成的图片不能编辑? — GPT Image 2、Nano Banana 生成的幻灯片、架构图画面惊艳,但全是像素。FigEdit 把布局提取成真正的...

figedit alternative? Top 6 similar tools

Looking for a figedit alternative? If you're comparing figedit with other agent tool 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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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:

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