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 vibe-motion · Agent Tool · ★ 31
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is remotion-code-motion-explainer safe to install? View the security audit →
AI Agent skill for continuous, editable Remotion explainers — created by Bingo
| Stars | 31 |
| Forks | 9 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.9465443560044/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-28 |
| Created | 2026-07-27 |
| Platforms | node |
| Est. Tokens | ~15k |
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remotion-code-motion-explainer is AI Agent skill for continuous, editable Remotion explainers — created by Bingo. It is categorized as a Agent Tool with 31 GitHub stars.
remotion-code-motion-explainer is primarily written in TypeScript. It covers topics such as agent-skill, motion-graphics, react.
You can find installation instructions and usage details in the remotion-code-motion-explainer GitHub repository at github.com/vibe-motion/remotion-code-motion-explainer. The project has 31 stars and 9 forks, indicating an active community.
remotion-code-motion-explainer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to remotion-code-motion-explainer on Agent Skills Hub include AIEV, multi-model-chat, Sora-FullStack. 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: