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 puntorigen · Agent Tool · ★ 5
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is avatar-skills safe to install? View the security audit →
Cloud-based agent skills for creating AI avatar talking-head videos and short-form reels (skills.sh format)
| Stars | 5 |
| Forks | 1 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 60.8155095872951/100 |
| Last Updated | 2026-09-15 |
| Created | 2026-07-09 |
| Platforms | gemini, python |
| Est. Tokens | ~17k |
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avatar-skills is Cloud-based agent skills for creating AI avatar talking-head videos and short-form reels (skills.sh format). It is categorized as a Agent Tool with 5 GitHub stars.
avatar-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, ai-avatar.
You can find installation instructions and usage details in the avatar-skills GitHub repository at github.com/puntorigen/avatar-skills. The project has 5 stars and 1 forks, indicating an active community.
avatar-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to avatar-skills on Agent Skills Hub include ContentMachine, openrouter-mcp-multimodal, HappyHorse-1.0-API. 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: