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 ruvnet · Agent Tool · ★ 103
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ultrasonic safe to install? View the security audit →
ultrasonic v2 alpha Ultrasonic v2 encrypts small data records, rejects replay, and measures a simulated acoustic channel. Received data stays data. It never runs commands or activates speakers or microphones. Capabilities Install and use Python 3.11 or newer and Node 22.16 or newer are required. For a separate Python environment set to its absolute executable path. MCP clients launch with the absolute reposito
| Stars | 103 |
| Forks | 38 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 49.9005958515336/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-10 |
| Created | 2025-06-09 |
| Platforms | node |
| Est. Tokens | ~13k |
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ultrasonic is A comprehensive steganography framework for embedding and extracting agentic commands in audio and video media using ultrasonic frequencies. This project provides tools for covert communication and co. It is categorized as a Agent Tool with 103 GitHub stars.
ultrasonic is primarily written in TypeScript.
You can find installation instructions and usage details in the ultrasonic GitHub repository at github.com/ruvnet/ultrasonic. The project has 103 stars and 38 forks, indicating an active community.
ultrasonic is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ultrasonic on Agent Skills Hub include tutor-skills. 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: