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 Cuongyd196 · Claude Skill · ★ 168
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is auto-compare-video safe to install? View the security audit →
Tạo Video Dạng So Sánh Kiến Thức — Comparison Video Template Template video giáo dục ngắn (TikTok/Reels/Shorts) dựng trên HyperFrames — mỗi video so sánh một cặp khái niệm hay bị nhầm lẫn, theo đúng một layout/nhịp cố định, chỉ đổi nội dung. Mục lục Xem trước Các video hiện có Tính năng nổi bật Bảng màu & thiết kế Cấu trúc repo Yêu cầu hệ thống Bắt đầu Đóng góp Xem thêm License 🎬 Xem trước Ảnh chụp trực tiếp từ composition hiện tại () — bảng màu tím-hồng-lục lam và avatar robot 2D là giao diện mặc định hiện hành của cả series (xem Bảng màu & thiết kế). Một số demo video ngắn dạng TikTok/Reels/Shorts đã xuất bản: | [![Xem demo 1 trên YouTube Shorts](https://im
| Stars | 168 |
| Forks | 96 |
| Language | HTML |
| Category | Claude Skill |
| Quality Score | 63.2132625518926/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-09 |
| Created | 2026-07-24 |
| Platforms | claude-code |
| Est. Tokens | ~18k |
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auto-compare-video is 🎬 Tạo video "so sánh kiến thức" ngắn tự động — HyperFrames + AI voice, 1 template nhiều chủ đề.. It is categorized as a Claude Skill with 168 GitHub stars.
auto-compare-video is primarily written in HTML. It covers topics such as aiagent, claude-code, claude-skills.
You can find installation instructions and usage details in the auto-compare-video GitHub repository at github.com/Cuongyd196/auto-compare-video. The project has 168 stars and 96 forks, indicating an active community.
The top alternatives to auto-compare-video on Agent Skills Hub include digital-marketing-pro, claude-skills-marketplace, claude-elixir-phoenix. 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: