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 Upload-Post · AI Tool · ★ 130
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🎬 avatar-mix Generate vertical & horizontal videos with your HeyGen avatar, custom animated backgrounds, music, context-aware SFX, and Hormozi-style captions — from a single URL or script. · · · · ✨ What it does From a URL (website/product) or a script, it produces a video where your avatar presents the content, with a dynamic edit that alternates between 3 layout modes, custom-built animated graphics (not website screenshots), music with ducking, sound effects chosen to match the content, and animated captions for social — in 16:9 and 9:16 from the same avatar clips. Built as a reusable skill: for the next video you only need a URL or a script. 🎥 See it in action This demo is 100% generated by the pipeline — script, avatar, animated backgrounds, music, SFX and captions. Previews loop below; click for the full video with sound 🔊 ▶️ [
| Stars | 130 |
| Forks | 14 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 62.3530513093509/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-15 |
| Created | 2026-06-15 |
| Platforms | python |
| Est. Tokens | ~17k |
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avatar-mix is Generate 16:9 & 9:16 videos with your HeyGen avatar, animated backgrounds (HyperFrames), music, SFX and Hormozi captions — then publish them to every social network. Reusable skill.. It is categorized as a AI Tool with 130 GitHub stars.
avatar-mix is primarily written in Python. It covers topics such as ai-video, avatar, faceless-video.
You can find installation instructions and usage details in the avatar-mix GitHub repository at github.com/Upload-Post/avatar-mix. The project has 130 stars and 14 forks, indicating an active community.
avatar-mix is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to avatar-mix on Agent Skills Hub include Orkas-VideoStudio, super-video-maker-skill, kinocut. 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: