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 vakovalskii · Codex Skill · ★ 20
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nd-video-studio safe to install? View the security audit →
Explainer videos from HTML (HyperFrames → MP4) with AI narrator, music and mixing — Claude Code / Codex skills on NeuralDeep models
| Stars | 20 |
| Forks | 1 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.7379725213552/100 |
| Last Updated | 2026-09-30 |
| Created | 2026-09-29 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
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nd-video-studio is Explainer videos from HTML (HyperFrames → MP4) with AI narrator, music and mixing — Claude Code / Codex skills on NeuralDeep models. It is categorized as a Codex Skill with 20 GitHub stars.
nd-video-studio is primarily written in Python. It covers topics such as agent-skills, claude-code, ffmpeg.
You can find installation instructions and usage details in the nd-video-studio GitHub repository at github.com/vakovalskii/nd-video-studio. The project has 20 stars and 1 forks, indicating an active community.
nd-video-studio is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to nd-video-studio on Agent Skills Hub include mcp-video, ComfyUI-Expert, ContentMachine. 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: