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 DojoCodingLabs · MCP Server · ★ 128
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is remotion-superpowers safe to install? View the security audit →
🎬 Remotion Superpowers v2.1 A free, open-source Claude Code plugin that turns Remotion into a full video production studio — by Dojo Coding A Claude Code plugin that turns Remotion from a motion graphics tool into a full video production studio. Gives Claude the power to see (video analysis), hear (music generation), speak (voiceovers), source (stock footage + AI generation), caption (TikTok-style), transition (professional scene cuts), and review (AI feedback loop) — all wired into Remotion’s React-based video pipeline. What This Plugin Does Generate natural narration fr
| Stars | 128 |
| Forks | 28 |
| Language | Shell |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.5550267019119/100 |
| Open Issues | 10 |
| Last Updated | 2026-10-03 |
| Created | 2026-02-09 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~10k |
These tools work well together with remotion-superpowers for enhanced workflows:
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remotion-superpowers is 🎬 Claude Code plugin — full video production studio for Remotion. AI voiceovers, music, stock footage, image/video generation, TikTok captions, 3D, transitions & AI review loop. 5 MCP servers, 13 com. It is categorized as a MCP Server with 128 GitHub stars.
remotion-superpowers is primarily written in Shell. It covers topics such as 3d, ai-image, ai-video.
You can find installation instructions and usage details in the remotion-superpowers GitHub repository at github.com/DojoCodingLabs/remotion-superpowers. The project has 128 stars and 28 forks, indicating an active community.
remotion-superpowers is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to remotion-superpowers on Agent Skills Hub include ralphy, guaardvark, OpenReels. 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: