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 moritzkremb · AI Tool · ★ 141
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jev-voice-browser safe to install? View the security audit →
voice-browser — talk to a real browser, it acts before you finish the sentence A Node app that controls a headed Chromium window (Playwright) by voice. Speech is streamed word by word from the browser's Web Speech API to a small Node server; on every partial transcript the server asks Jev (TypeSafe's System One model, ) one request with a dozen typed questions — intent, target element, site, "is the command complete?", "is this even addressed to me?", "is it destructive?" — gets typed probabilities back in 250–350 ms, and code decides whether to act, wait, ask, or ignore. Jev never generates text. Search queries, typed text and URLs are extracted as candidate spans by code and Jev only picks one, which is copied verbatim. Run it Requi
| Stars | 141 |
| Forks | 18 |
| Language | JavaScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 60.1952968786758/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-17 |
| Created | 2026-09-17 |
| Platforms | browser, node |
| Est. Tokens | ~7k |
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jev-voice-browser is Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.. It is categorized as a AI Tool with 141 GitHub stars.
jev-voice-browser is primarily written in JavaScript.
You can find installation instructions and usage details in the jev-voice-browser GitHub repository at github.com/moritzkremb/jev-voice-browser. The project has 141 stars and 18 forks, indicating an active community.
jev-voice-browser is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to jev-voice-browser on Agent Skills Hub include MedgeClaw, SciToolAgent, redesigned-pancake. 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: