by joeseesun · AI Tool · ★ 127
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🔒 Is qiaomu-bento-ppt safe to install? View the security audit →
qiaomu-bento-ppt AI 做 PPT 最常见的失败，是交付一堆静态文字页。这个 skill 把资料变成可编辑、可演示、可离线分发的单文件 bento deck。 Turn source material into an editable, presentable, offline-ready bento deck — one self-contained HTML file. 下载示例 deck · 查看 deck plan · <a href="example
npx skills add joeseesun/qiaomu-bento-pptTaken from the project's README on GitHub. Check the security audit before running it.
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 | 127 |
| Forks | 9 |
| Language | HTML |
| Category | AI Tool |
| License | MIT |
| Quality Score | 65.4683203765364/100 |
| Last Updated | 2026-07-27 |
| Created | 2026-07-25 |
| Est. Tokens | ~18k |
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qiaomu-bento-ppt is Use the standalone qiaomu-bento-ppt skill to create or edit qiaomu-style bento presentations as self-contained .bento.html files from briefs, notes, r. It is categorized as a AI Tool with 127 GitHub stars.
qiaomu-bento-ppt is primarily written in HTML.
The README on GitHub (github.com/joeseesun/qiaomu-bento-ppt) gives: npx skills add joeseesun/qiaomu-bento-ppt. Usage details are in the same README.
qiaomu-bento-ppt is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to qiaomu-bento-ppt on Agent Skills Hub include SciToolAgent, redesigned-pancake, claude-code-voice-skill. 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.
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