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 hub-ki · Agent Tool · ★ 6
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is video-generation safe to install? View the security audit →
Agent skills that turn an app or a public website into a designed demo video: concept and script first, then capture, narration, verification and a 4K render.
| Stars | 6 |
| Forks | 0 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70.0155462851878/100 |
| Last Updated | 2026-08-23 |
| Created | 2026-08-23 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~15k |
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video-generation is Agent skills that turn an app or a public website into a designed demo video: concept and script first, then capture, narration, verification and a 4K render.. It is categorized as a Agent Tool with 6 GitHub stars.
video-generation is primarily written in JavaScript. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the video-generation GitHub repository at github.com/hub-ki/video-generation. The project has 6 stars and 0 forks, indicating an active community.
video-generation is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to video-generation on Agent Skills Hub include MarkuprPlus, agent-rules-skill, ComfyUI-Expert. 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: