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 amicalhq · MCP Server · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is amical safe to install? View the security audit →
Website - Docs - Community - Bug reports Table of Contents ⬇️ Download 🔮 Overview ✨ Features 🔰 Tech Stack 🤗 Contributing 🎗 License ⬇️ Download <a href="https://github.com/amicalhq/amical/releases/
| Stars | 1,538 |
| Forks | 141 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 58.2562202550966/100 |
| Open Issues | 55 |
| Last Updated | 2026-09-22 |
| Created | 2025-05-08 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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amical is 🎙️ AI Dictation App - Open Source and Local-first ⚡ Type 3x faster, no keyboard needed. 🆓 Powered by open source models, works offline, fast and accurate.. It is categorized as a MCP Server with 1.5k GitHub stars.
amical is primarily written in TypeScript. It covers topics such as ai, ai-note-taking-app, asr.
You can find installation instructions and usage details in the amical GitHub repository at github.com/amicalhq/amical. The project has 1.5k stars and 141 forks, indicating an active community.
amical is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to amical on Agent Skills Hub include project-raven, opentypeless, minutes. 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: