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 Aaryan-Kapoor · Codex Skill · ★ 16
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is video-production-skill safe to install? View the security audit →
Turn an AI agent into a full-stack educational video producer: research, storyboard, narration, animated visuals, render, QC, archive, and delivery.
| Stars | 16 |
| Forks | 3 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.2208527991315/100 |
| Last Updated | 2026-07-09 |
| Created | 2026-05-05 |
| Platforms | python |
| Est. Tokens | ~14k |
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video-production-skill is Turn an AI agent into a full-stack educational video producer: research, storyboard, narration, animated visuals, render, QC, archive, and delivery.. It is categorized as a Codex Skill with 16 GitHub stars.
video-production-skill is primarily written in Python. It covers topics such as agent-skills, ffmpeg, manim.
You can find installation instructions and usage details in the video-production-skill GitHub repository at github.com/Aaryan-Kapoor/video-production-skill. The project has 16 stars and 3 forks, indicating an active community.
video-production-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to video-production-skill on Agent Skills Hub include CapCut-Pro-Unlocker-2026, pinion-os, openrouter-mcp-multimodal. 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: