by moritzkremb · AI Tool · ★ 425
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/moritzkremb/jev-voice-browser.gitTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 425 |
| Forks | 70 |
| Language | JavaScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 60/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-21 |
| Created | 2026-09-17 |
| Platforms | browser, node |
| Est. Tokens | ~8k |
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...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: