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 rokbenko · MCP Server · ★ 212
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is quackd safe to install? View the security audit →
Give your Microduck a brain. Your Open Duck Mini, your Reachy Mini, your arm and your wheeled base too. Any LLM, one .duck file. 🦆🧠 quackd, pronounced “quacked”. The brain daemon Microduck was missing, named like its siblings robotd, mediad, padd and tofd. Since 0.4 it drives other small robots too, and since 0.5 one of them is a duck you can print and build yourself. Type a goal in a terminal, or just chat with it through Claude. Same rules either way. <img src="ht
| Stars | 212 |
| Forks | 23 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61.2259697892413/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-19 |
| Created | 2026-08-28 |
| Platforms | claude-code, cli, gemini, mcp, python |
| Est. Tokens | ~25k |
These tools work well together with quackd for enhanced workflows:
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Explore other popular mcp server tools:
quackd is One CLI for all your robots. Connect them, command them, and let them work together, each with an LLM for a brain, Jev for cheaper steps. Microduck, Open Duck Mini, LeRobot, XLeRobot, AlohaMini, Toddl. It is categorized as a MCP Server with 212 GitHub stars.
quackd is primarily written in Python. It covers topics such as ai-agents, aloha, claude.
You can find installation instructions and usage details in the quackd GitHub repository at github.com/rokbenko/quackd. The project has 212 stars and 23 forks, indicating an active community.
quackd is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to quackd on Agent Skills Hub include c4-genai-suite, zeph, bagel. 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: