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 Neelshah1810 · Claude Skill · ★ 8
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Claude-Video-Skills safe to install? View the security audit →
11 Claude skills that make professional motion-graphics videos (launch films, explainers, social ads, data stories) as HTML + MP4. Works with Claude and Claude Code.
| Stars | 8 |
| Forks | 0 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 63.9614283224433/100 |
| Last Updated | 2026-10-03 |
| Created | 2026-10-02 |
| Platforms | claude-code |
| Est. Tokens | ~21k |
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Claude-Video-Skills is 11 Claude skills that make professional motion-graphics videos (launch films, explainers, social ads, data stories) as HTML + MP4. Works with Claude and Claude Code.. It is categorized as a Claude Skill with 8 GitHub stars.
Claude-Video-Skills is primarily written in HTML. It covers topics such as ai-video, anthropic, claude.
You can find installation instructions and usage details in the Claude-Video-Skills GitHub repository at github.com/Neelshah1810/Claude-Video-Skills. The project has 8 stars and 0 forks, indicating an active community.
Claude-Video-Skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Claude-Video-Skills on Agent Skills Hub include motion-graphics-skills, claude-emporium, mcpick. 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: