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 freestyle-voice · Claude Skill · ★ 480
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is freestyle safe to install? View the security audit →
Freestyle is the dictation app that converts your voice into text. Hold down a hotkey, talk, and clean text will appear wherever your cursor is. Speak 4X faster than you type. Freestyle is free, open source, and local-first. Run a local model and your dictations never leave your device, or bring your own API
| Stars | 480 |
| Forks | 70 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 59.7518890816335/100 |
| Open Issues | 17 |
| Last Updated | 2026-08-14 |
| Created | 2026-05-25 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
These tools work well together with freestyle for enhanced workflows:
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freestyle is Open source voice dictation platform for devs. Build voice workflows.. It is categorized as a Claude Skill with 480 GitHub stars.
freestyle is primarily written in TypeScript. It covers topics such as claude, claude-code, coding.
You can find installation instructions and usage details in the freestyle GitHub repository at github.com/freestyle-voice/freestyle. The project has 480 stars and 70 forks, indicating an active community.
freestyle is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to freestyle on Agent Skills Hub include smart-ralph, palot, agent-toolkit. 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: