by rokbenko · MCP Server · ★ 289
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uvx quackd run find-and-kick --provider fake # no key: the scripted pilot
claude mcp add quackd -- uvx quackd serve-mcp --robot microduck:sim2d # or just chat with it: "find the ball and kick it"Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 289 |
| Forks | 29 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61/100 |
| Last Updated | 2026-11-04 |
| Created | 2026-08-28 |
| Platforms | claude-code, cli, gemini, mcp, python |
| Est. Tokens | ~25k |
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.
These tools work well together with quackd for enhanced workflows:
Looking for a quackd alternative? If you're comparing quackd with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: