by SlideSpeak · Agent Tool · ★ 26
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is slide-design-skill safe to install? View the security audit →
AI presentation engine. Describe your deck and the look, it derives a bespoke style and renders polished 1920x1080 HTML slides with real charts, tables and imagery. Agent skill: npx skills add SlideSpeak/slide-design-skill
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 | 26 |
| Forks | 5 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.3131398740527/100 |
| Last Updated | 2026-06-25 |
| Created | 2026-05-26 |
| Platforms | claude-code, node |
| Est. Tokens | ~16k |
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slide-design-skill is AI presentation engine. Describe your deck and the look, it derives a bespoke style and renders polished 1920x1080 HTML slides with real charts, tables and imagery. Agent skill: npx skills add SlideSp. It is categorized as a Agent Tool with 26 GitHub stars.
slide-design-skill is primarily written in TypeScript. It covers topics such as agent-skills, ai, ai-agents.
You can find installation instructions and usage details in the slide-design-skill GitHub repository at github.com/SlideSpeak/slide-design-skill. The project has 26 stars and 5 forks, indicating an active community.
slide-design-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to slide-design-skill on Agent Skills Hub include awesome-html-slide-skills, paperbanana-skill, repopack-py. 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: