Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by MCERQUA · Codex Skill · ★ 73
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🔒 Is OpenVoiceUI safe to install? View the security audit →
OpenVoiceUI The open-source voice AI that actually does work. Install, open localhost:5001, say "build me a dashboard", and watch it render live. Watch the demo -- see voice-to-canvas in action Install Prerequisite: Docker must be installed and running for all install methods. Pinokio (one-click) Download Pinokio if you don't have it, then search "OpenVoiceUI" in the app store and click Install. npm bash npx openvoiceui setup # interactive wizard — walks you through API keys + builds Docker images npx openvo
| Stars | 73 |
| Forks | 13 |
| Language | HTML |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.1737919247912/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-10 |
| Created | 2026-02-25 |
| Platforms | browser, docker |
| Est. Tokens | ~18k |
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OpenVoiceUI is Voice-powered AI assistant platform — connect any LLM, any TTS, with a live web canvas, music generation, and agent orchestration using openclaw. Install: npx openvoiceui setup. It is categorized as a Codex Skill with 73 GitHub stars.
OpenVoiceUI is primarily written in HTML. It covers topics such as ai-agent, ai-assistant, ai-canvas.
You can find installation instructions and usage details in the OpenVoiceUI GitHub repository at github.com/MCERQUA/OpenVoiceUI. The project has 73 stars and 13 forks, indicating an active community.
OpenVoiceUI is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenVoiceUI on Agent Skills Hub include agentcall, heard, 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: