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 primaprashant · Agent Tool · ★ 119
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hns safe to install? View the security audit →
Speech-to-text CLI. 100% local. Built for developers. hns is a speech-to-text CLI tool to transcribe your voice from your microphone directly to clipboard. Integrate hns with Claude Code, Ollama, LLM, and more CLI tools for powerful workflows. transcribes your voice 100% locally using faster-whisper. The whisper model is downloaded automatically on first run and after that, can be used completely offline. After transcription, the text is displayed in the terminal (written to stdout) as well as automatically copied to your clipboard, ready to be pasted anywhere with or
| Stars | 119 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.8592926559188/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-26 |
| Created | 2025-06-30 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~14k |
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hns is hns is a speech-to-text CLI tool to transcribe your voice from your microphone directly to clipboard. Integrate hns with Claude Code, Ollama, LLM, and more CLI tools for powerful workflows.. It is categorized as a Agent Tool with 119 GitHub stars.
hns is primarily written in Python. It covers topics such as cli, clipboard, faster-whisper.
You can find installation instructions and usage details in the hns GitHub repository at github.com/primaprashant/hns. The project has 119 stars and 14 forks, indicating an active community.
hns is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hns on Agent Skills Hub include roam-code, AutoRedTeam-Orchestrator, cc-clip. 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: