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 →
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Mindmap2slide This is a tool for converting textbundle (exported from Mindnode) to Reveal.js Slides. 场景 有一天给研究生上课，几个学生分别上讲台展示仿真建模作业。 我打开笔记本电脑，一边开着仿真工具验证他们的代码，一边用思维导图软件记录他们讲解中出现的问题。 问题过多的时候，我示意学生下来。走上讲台，插上优盘，打开了一个幻灯。幻灯图文并茂，针对刚才模型解释和展示中的问题一一作了反馈。 学生们看得目瞪口呆。 倒不是因为我的幻灯做得有多么漂亮，而是他们心里有个大大的疑惑： “老师，这个幻灯您是刚刚现场做的？” “对啊。” “啊？！……这么快？” 面对学生将信将疑，我把他们叫到了我的座位那里，打开笔记本，给他们看了我的思维导图。 思维导图的结构很清晰，我把他们讲解中用到的代码做了截图，连同一些搜索到的关联材料一起放在了思维导图中。 看到这里，他们很淡定。因为现场做个记录关键点的思维导图，他们认为自己完全能够胜任。 之后，他们就不淡定了。因为我给他们展示了如何一键把这个思维导图变成了漂亮的幻灯片。 痛点 其实不光是老师，各种知识工作者总会遇到需要做幻灯的场景。 许多人都学会了秘笈——用思维导图来整理思路。这是做幻灯之前准备材料的一种高效方式。 但是传统软件之间缺乏必要的沟通渠道。你画好了思维导图，等到制作幻灯的时候还得重新把导图里出现的结构和内容填入幻灯工具中。 你做了两遍工作，效率当然不够高。 优秀的思维导图软件早就看到了用户这一痛点，因此iMindmap等少数专业思维导图工具都有一个重要功能——把思维导图用幻灯形式展示。 但是一来这样的工具都很贵，二来你只能在思维导图软件内播放幻灯。 这就给你带来了很大限制——你无法像携带ppt文件一样，一个优盘带着随处走随处展示。这样的结果有时很糟糕。想想一下，如果你兴冲冲带着Macbook和HDMI转换插头跑到会场做准备，却发现人家只提供VGA接口…… 你莫非还要当场下单买个iMindmap的新许可证不成？ 这个痛点困扰了我很长时间。直到某一天，我突然发现有些思维导图工具开始支持一种格式——文本包(textbundle)。于是我立即找到了解决的办法。 本文我先给你介绍如何一键把思维导图转换成幻灯。咱们从配置开始，然后做个实际样例展示。 如果你对原理感兴趣，再往后看相关的知识介绍。 好了，我们开始做配置准备工作吧。 配置 请注意，因为思维导图工具MindNode仅支持macOS和iOS，不支持Linux和Windows，所以本文仅展示macOS系统下的操作流程。如果后续发现支持其他操作系统，且可以生成文本包的思维导图应用，我们会迭代更新本文。 我们一共需要安装4款软件。 MindNode...
| Stars | 296 |
| Forks | 43 |
| Language | JavaScript |
| Category | AI Tool |
| Quality Score | 44.896106434963/100 |
| Open Issues | 4 |
| Last Updated | 2019-02-22 |
| Created | 2017-09-12 |
| Platforms | node |
| Est. Tokens | ~14k |
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mindmap2slide is convert Mindnode Mindmap (textbundle format) to reveal.js slides. It is categorized as a AI Tool with 296 GitHub stars.
mindmap2slide is primarily written in JavaScript.
You can find installation instructions and usage details in the mindmap2slide GitHub repository at github.com/wshuyi/mindmap2slide. The project has 296 stars and 43 forks, indicating an active community.
The top alternatives to mindmap2slide on Agent Skills Hub include shaping-skills, pivotnacci, MedgeClaw. 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: