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 yihui-dev · AI Tool · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-opus5-5-videos safe to install? View the security audit →
Awesome Opus 5.5 Videos Viral videos people made with Claude Opus 5.5, each with the exact prompt the creator shared. Every video here was made by asking Claude Opus 5.5 to write the animation as code (HTML, Canvas, SVG, Three.js and friends). Pick one, copy its prompt, and try it with your own agent. ▶ Watch all 282 side by side with live remakes on Skillry 282 prompts in and 100 highlighted below, one per distinct prompt Every entry links to the creator's original post Contents Motion graphics (58) Explainers (16) 3D scenes (14) Games & interactive (12) How to use a prompt Credits Motion graphics @himanshutwtxs · PromptCanvas<a href="https://skillry.dev/ai-videos/opus-5
| Stars | 1,503 |
| Forks | 159 |
| Category | AI Tool |
| License | MIT |
| Quality Score | 49.809823026962/100 |
| Last Updated | 2026-09-30 |
| Created | 2026-09-27 |
| Platforms | claude-code |
| Est. Tokens | ~28k |
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awesome-opus5-5-videos is A growing collection of viral videos made with Claude Opus 5.5 and the prompts behind them. Watch each original next to a live remake on Skillry. Updated regularly.. It is categorized as a AI Tool with 1.5k GitHub stars.
You can find installation instructions and usage details in the awesome-opus5-5-videos GitHub repository at github.com/yihui-dev/awesome-opus5-5-videos. The project has 1.5k stars and 159 forks, indicating an active community.
awesome-opus5-5-videos is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-opus5-5-videos on Agent Skills Hub include awesome-agent-skills, awesome-seedance-2-prompts, awesome-claude. 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: