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 SamurAIGPT · Agent Tool · ★ 287
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AI-Influencer-Generator safe to install? View the security audit →
AI Influencer Generator Create and customize your own virtual AI influencer completely for free using open-source technologies. Related Projects MuAPI — Unified API for image, video, and audio generation across hundreds of AI models. Explore the image and video playground and access keys. Free-AI-Social-Media-Scheduler — Schedule your AI influencer content across all social platforms automatically Open-AI-UGC — Generate AI UGC video ads with realistic AI actors Open-Generative-AI — Free open-source studio for 200+ AI image & video models ai-creator-academy — free curriculum teaching creators how to monetize AI influencer content AI-Youtube-Shorts-Generator — Generate YouTube Shorts automatically [AI-Faceless-Vide
| Stars | 287 |
| Forks | 78 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.3715548578965/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-02 |
| Created | 2025-02-04 |
| Est. Tokens | ~5k |
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AI-Influencer-Generator is Create and customize your AI influencer open-source. It is categorized as a Agent Tool with 287 GitHub stars.
AI-Influencer-Generator is primarily written in Jupyter Notebook. It covers topics such as ai-api, ai-influencer, ai-tools.
You can find installation instructions and usage details in the AI-Influencer-Generator GitHub repository at github.com/SamurAIGPT/AI-Influencer-Generator. The project has 287 stars and 78 forks, indicating an active community.
AI-Influencer-Generator is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AI-Influencer-Generator on Agent Skills Hub include awesome-agent-apis, WebAI2API, comfyui-mcp. 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: