Flagged: opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jazzenchen · Codex Skill · ★ 524
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is VibeAround safe to install? View the security audit →
VibeAround Vibe coding with your local AI agent, from anywhere. English Wiki VibeAround gives you two ways to reach your local AI agent (Claude Code, Codex, Cursor, Gemini CLI…) from anywhere: chat with it from your daily IM (Telegram, Slack, Feishu, Discord…), or a browser-based web terminal compatible with tmux. Pick the surface that fits the moment — a quick message from your phone, or a full terminal session from a café laptop — it's the same agent, the same workspace. The desktop app is a lightweight all-in-one Tauri build that gives you a GUI for configuration and service management. Agents and IM channels are both plugi
| Stars | 524 |
| Forks | 55 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.5860175705601/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-05 |
| Created | 2026-02-23 |
| Platforms | browser, claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~24k |
These tools work well together with VibeAround for enhanced workflows:
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VibeAround is Keep your AI coding agents around. Launch Claude Code, Codex CLI, Gemini CLI, Pi Agent, and more from one place — side by side, connected, reachable, and ready to work across web, mobile, and messagin. It is categorized as a Codex Skill with 524 GitHub stars.
VibeAround is primarily written in Rust. It covers topics such as ai-agent, ai-tools, remote-execution.
You can find installation instructions and usage details in the VibeAround GitHub repository at github.com/jazzenchen/VibeAround. The project has 524 stars and 55 forks, indicating an active community.
VibeAround is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to VibeAround on Agent Skills Hub include pdf-reader-mcp, octocode-mcp, dexto. 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: