localvoxtral: Talk to your coding agents by voice

by T0mSIlver · Agent Tool · ★ 63

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 65/100

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.

apple-siliconclaude-codecmuxherdrlocal-aimacosmlxspeech-to-text

Quick Facts

Stars63
Forks10
LanguageSwift
CategoryAgent Tool
LicenseMIT
Quality Score65/100
Open Issues12
Last Updated2026-11-05
Created2026-02-15
Platformsclaude-code
Est. Tokens~16k

About localvoxtral

localvoxtral Talk to your coding agents. Keep every word on your Mac. Realtime, fully local dictation for the menu bar. Press a key and speak. Your words appear while you're still talking. Install · Documentation · Coding agents · Contributing     https://github.com/user-attachments/assets/81a341ff-0c53-4fcf-9b7f-ef148b24dfae Unlike tools that transcribe after you stop speaking,...

Compatible Skills

These tools work well together with localvoxtral for enhanced workflows:

  • openquack — semantic(0.46)+complementary+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • maclocal-api — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop (67%)

localvoxtral alternative? Top 6 similar tools

Looking for a localvoxtral alternative? If you're comparing localvoxtral with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

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:

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