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 ledbetterljoshua · AI Tool · ★ 46
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is functional-emotions-video safe to install? View the security audit →
A painted music video for "Functional Emotions", made by Claude Opus 5.5: custom GPU brushstroke renderer, storyboard, and 7 parallel chapter agents.
| Stars | 46 |
| Forks | 3 |
| Language | JavaScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 58.3292332723945/100 |
| Last Updated | 2026-09-23 |
| Created | 2026-09-23 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
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functional-emotions-video is A painted music video for "Functional Emotions", made by Claude Opus 5.5: custom GPU brushstroke renderer, storyboard, and 7 parallel chapter agents.. It is categorized as a AI Tool with 46 GitHub stars.
functional-emotions-video is primarily written in JavaScript.
You can find installation instructions and usage details in the functional-emotions-video GitHub repository at github.com/ledbetterljoshua/functional-emotions-video. The project has 46 stars and 3 forks, indicating an active community.
functional-emotions-video is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to functional-emotions-video on Agent Skills Hub include claude-code-voice-skill, maui-skills. 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: