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 Eric-Song-Nop · Codex Skill · ★ 144
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mobvibe safe to install? View the security audit →
Chat with your local AI coding agents from any device, from anywhere. No network config, just one command. 中文 | English Quick Start · Features · Agents · E2EE · Self-Hosting Mobvibe is a distributed ACP (Agent Client Protocol) WebUI for local agent workflows. It connects to ACP-compatible CLIs (OpenCode, Gemini CLI, Claude Code, and 20+ more), manages multi-session chat, and delivers a fast, touch-friendly experience across desktop and mobile. Quick Start Then open app.mobvibe.net in you
| Stars | 144 |
| Forks | 10 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 68.427594630509/100 |
| Open Issues | 6 |
| Last Updated | 2026-07-31 |
| Created | 2026-01-15 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~16k |
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mobvibe is Just a open Claude Code Remote Control. It is categorized as a Codex Skill with 144 GitHub stars.
mobvibe is primarily written in TypeScript. It covers topics such as acp, agent-client-protocol, ai.
You can find installation instructions and usage details in the mobvibe GitHub repository at github.com/Eric-Song-Nop/mobvibe. The project has 144 stars and 10 forks, indicating an active community.
mobvibe is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mobvibe on Agent Skills Hub include lightcode, claw-orchestrator, OpenACP. 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: