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 OtoDock · MCP Server · ★ 187
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is oto-dock safe to install? View the security audit →
OtoDock — Collaborative Agents The agentic company OS. The brains of your company, built on Claude Code & Codex, working on your Anthropic and OpenAI subscriptions. Docs · Install · Features · Discussions Self-hosted · Multi-tenant by design · Fair source Runs on Claude Code · Codex · your API keys · local models <img src="https://github.com/user-attachments/assets/
| Stars | 187 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 60.5092388360179/100 |
| Last Updated | 2026-09-29 |
| Created | 2026-07-09 |
| Platforms | claude-code, codex, docker, mcp, python |
| Est. Tokens | ~17k |
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oto-dock is The agentic company OS. The brains of your company, built on Claude Code and Codex, working on your Anthropic and OpenAI subscriptions.. It is categorized as a MCP Server with 187 GitHub stars.
oto-dock is primarily written in Python. It covers topics such as agent-platform, ai-agents, claude-code.
You can find installation instructions and usage details in the oto-dock GitHub repository at github.com/OtoDock/oto-dock. The project has 187 stars and 15 forks, indicating an active community.
The top alternatives to oto-dock on Agent Skills Hub include sandboxed.sh, openhermit, OmoiOS. 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: