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 uvwt · MCP Server · ★ 829
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentdock safe to install? View the security audit →
English | 简体中文 AgentDock Give AI agents secure, controlled access to every machine you operate. Open ChatGPT in your browser and manage multiple computers and servers from one conversation. Write code, change configuration, run commands, and deploy in the real environment where the work belongs—without consuming a dedicated Codex coding quota. AgentDock is an independent tool runtime for AI agents. It exposes unified, secure, and controlled file, command, Git, Skill, MCP, browser automation, and task execution capabilities across local computers, remote servers, and containers. Connect multiple AgentDock instances to coordinate work across devices without constantly switching between machines. Quick Start · Documentation · Releases · Issues [ vi
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agentdock is Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.. It is categorized as a MCP Server with 829 GitHub stars.
agentdock is primarily written in Go. It covers topics such as agent-skills, ai-agents, automation.
You can find installation instructions and usage details in the agentdock GitHub repository at github.com/uvwt/agentdock. The project has 829 stars and 99 forks, indicating an active community.
agentdock is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agentdock on Agent Skills Hub include claude-code-plugins-plus-skills, harbor, MCPJungle. 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: