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 langgenius · MCP Server · ★ 73
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mosoo-agent-driver safe to install? View the security audit →
agent-driver One Driver Kernel. Every agent backend. The runtime that drives a sandbox-hosted agent session inside Mosoo. is the standalone runtime driver for sandbox-hosted agent sessions. It runs inside the sandbox and drives a single agent session from boot to stop. The core produc
| Stars | 73 |
| Forks | 11 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71.7678635591703/100 |
| Open Issues | 15 |
| Last Updated | 2026-09-18 |
| Created | 2026-06-05 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~16k |
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mosoo-agent-driver is Runtime-neutral AI execution bridge for Claude Agent SDK, Codex app-server, and Agent Client Protocol (ACP).. It is categorized as a MCP Server with 73 GitHub stars.
mosoo-agent-driver is primarily written in TypeScript. It covers topics such as acp, agent-client-protocol, agent-driver.
You can find installation instructions and usage details in the mosoo-agent-driver GitHub repository at github.com/langgenius/mosoo-agent-driver. The project has 73 stars and 11 forks, indicating an active community.
mosoo-agent-driver is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mosoo-agent-driver on Agent Skills Hub include bitrouter, lightcode, agentrove. 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: