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 →
by surajshetty3416 · Claude Skill · ★ 5
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is demo-video-skill safe to install? View the security audit →
Claude Code skill: polished 60fps ScreenStudio-style demo videos of any web app via Playwright + Pillow + ffmpeg (no screen recorder)
| Stars | 5 |
| Forks | 0 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.3254961018077/100 |
| Last Updated | 2026-08-21 |
| Created | 2026-07-15 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~14k |
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demo-video-skill is Claude Code skill: polished 60fps ScreenStudio-style demo videos of any web app via Playwright + Pillow + ffmpeg (no screen recorder). It is categorized as a Claude Skill with 5 GitHub stars.
demo-video-skill is primarily written in JavaScript. It covers topics such as claude-code, claude-skills, demo-video.
You can find installation instructions and usage details in the demo-video-skill GitHub repository at github.com/surajshetty3416/demo-video-skill. The project has 5 stars and 0 forks, indicating an active community.
demo-video-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to demo-video-skill on Agent Skills Hub include claude-prompt-engineering-guide, claude-emporium, claude-cli-advanced-starter-pack. 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: