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 timscheuerai · Claude Skill · ★ 6
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is launch-video-kit safe to install? View the security audit →
Turn your website into an Apple-style launch video in your own brand. Brand kit from your URL, a hook-plus-body film template, 10 agent skills for Claude Code and Codex, and a free audio path. MIT.
| Stars | 6 |
| Forks | 3 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.6194232662498/100 |
| Last Updated | 2026-09-27 |
| Created | 2026-09-27 |
| Platforms | browser, claude-code, codex, python |
| Est. Tokens | ~15k |
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launch-video-kit is Turn your website into an Apple-style launch video in your own brand. Brand kit from your URL, a hook-plus-body film template, 10 agent skills for Claude Code and Codex, and a free audio path. MIT.. It is categorized as a Claude Skill with 6 GitHub stars.
launch-video-kit is primarily written in Python. It covers topics such as agent-skills, brand-kit, claude-code.
You can find installation instructions and usage details in the launch-video-kit GitHub repository at github.com/timscheuerai/launch-video-kit. The project has 6 stars and 3 forks, indicating an active community.
launch-video-kit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to launch-video-kit on Agent Skills Hub include cinetic, Product-to-Prod, mcp-video. 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: