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 tuzhechen2005 · Claude Skill · ★ 9
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is opus-video-skills safe to install? View the security audit →
Video-making skills for Claude Opus 5.5 in Claude Code — every frame and note generated in code, one skill per style: hand-painted animation, kinetic-typography reels | 用 Claude Opus 5.5 以代码制作视频的技能合集
| Stars | 9 |
| Forks | 0 |
| Language | JavaScript |
| Category | Claude Skill |
| Quality Score | 64.5009548688525/100 |
| Last Updated | 2026-09-27 |
| Created | 2026-09-26 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~14k |
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opus-video-skills is Video-making skills for Claude Opus 5.5 in Claude Code — every frame and note generated in code, one skill per style: hand-painted animation, kinetic-typography reels | 用 Claude Opus 5.5 以代码制作视频的技能合集. It is categorized as a Claude Skill with 9 GitHub stars.
opus-video-skills is primarily written in JavaScript. It covers topics such as animation, claude-code, claude-code-plugin.
You can find installation instructions and usage details in the opus-video-skills GitHub repository at github.com/tuzhechen2005/opus-video-skills. The project has 9 stars and 0 forks, indicating an active community.
The top alternatives to opus-video-skills on Agent Skills Hub include creativly.ai-brand-video-remotion, Mythos-Claude-Orchestrator, three.ws. 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: