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 smit-vanani · Claude Skill · ★ 14
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-promo-video safe to install? View the security audit →
Turn a website URL into a premium, beat-locked product promo video with Remotion — original design system every time, music-onset-locked scenes, self-verifying renders, 16:9 + 9:16 + thumbnails.
| Stars | 14 |
| Forks | 1 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 66.632040886285/100 |
| Last Updated | 2026-07-16 |
| Created | 2026-07-15 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~14k |
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claude-promo-video is Turn a website URL into a premium, beat-locked product promo video with Remotion — original design system every time, music-onset-locked scenes, self-verifying renders, 16:9 + 9:16 + thumbnails.. It is categorized as a Claude Skill with 14 GitHub stars.
claude-promo-video is primarily written in JavaScript. It covers topics such as ai-agents, anthropic, claude.
You can find installation instructions and usage details in the claude-promo-video GitHub repository at github.com/smit-vanani/claude-promo-video. The project has 14 stars and 1 forks, indicating an active community.
claude-promo-video is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-promo-video on Agent Skills Hub include claude-code-settings, intellegix-code-agent-toolkit, brewreel. 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: