by hugohe3 · Agent Tool · ★ 74.3k
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Featured in: PPT Skills for Codex & Claude Code
git clone https://github.com/hugohe3/ppt-master.git
Taken from the project's README on GitHub. Check the security audit before running it.
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.
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. 1 in "The 5 best PPT skills in 2026, by our test".
Our pick for a PowerPoint file a colleague will edit: A native, structured PPTX (editability L3) that needed only touch-ups and scored 100% on the content rubric; 11 minutes. For the same in 3 minutes with simpler structure, claude-office-skills (L2, 100%). Anthropic's own pptx skill made one in 2.4 minutes (L2, 96%).
Result: Ready after touch-ups · Editability L3 · + structure · content rubric 100% · 11 min
| Stars | 74,333 |
| Forks | 5,827 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-06 |
| Created | 2025-12-10 |
| Platforms | python |
| Est. Tokens | ~22k |
PPT Master — AI generates native PowerPoint from any document English | 中文 This project is kept free and open source with the support of Kimi, PackyCode, APIKEY.FUN, RunAPI, <a href="https://www.compshare.cn/coding-plan?ytag=GPUYY-gitpptm
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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: