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 jinjin1 · Claude Skill · ★ 6
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is scenewright safe to install? View the security audit →
Claude Code-native pipeline: a source text → narrated, Remotion-rendered YouTube explainer video. Any topic, ~$0/video, local Korean TTS (Supertonic), JSON-as-contract stages.
| Stars | 6 |
| Forks | 1 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 60.015749613937/100 |
| Last Updated | 2026-08-24 |
| Created | 2026-06-15 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
Looking for a scenewright alternative? If you're comparing scenewright with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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scenewright is Claude Code-native pipeline: a source text → narrated, Remotion-rendered YouTube explainer video. Any topic, ~$0/video, local Korean TTS (Supertonic), JSON-as-contract stages.. It is categorized as a Claude Skill with 6 GitHub stars.
scenewright is primarily written in TypeScript. It covers topics such as claude-code, explainer-videos, korean.
You can find installation instructions and usage details in the scenewright GitHub repository at github.com/jinjin1/scenewright. The project has 6 stars and 1 forks, indicating an active community.
scenewright is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to scenewright on Agent Skills Hub include html-explainer, ComfyUI-Expert, AI_PM. 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: