Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by tover0314-w · Agent Tool · ★ 510
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is opentypeless safe to install? View the security audit →
English Nederlands OpenTypeless Open-source AI voice typing for macOS, Windows, and Linux. Press a hotkey, speak naturally, and get clean, ready-to-send text in the app you are already using. OpenTypeless combines speech-to-text, LLM rewriting, translation, custom dictionary, and local-first BYOK controls. <img src="https://img.shields.io/github/v/release
| Stars | 510 |
| Forks | 101 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.5603348636573/100 |
| Open Issues | 38 |
| Last Updated | 2026-09-09 |
| Created | 2026-02-26 |
| Platforms | rust |
| Est. Tokens | ~25k |
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opentypeless is Open-source AI voice typing for macOS, Windows, and Linux. Press a hotkey, speak naturally, get polished text in any app.. It is categorized as a Agent Tool with 510 GitHub stars.
opentypeless is primarily written in Rust. It covers topics such as ai, ai-tools, byok.
You can find installation instructions and usage details in the opentypeless GitHub repository at github.com/tover0314-w/opentypeless. The project has 510 stars and 101 forks, indicating an active community.
opentypeless is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to opentypeless on Agent Skills Hub include input0, project-raven, amical. 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: