vibe-remote — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

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 cyhhao · Codex Skill · ★ 450

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About vibe-remote

Avibe The local-first Agent OS — your AI partner lives on your own machine. Own the agent. Reach it from anywhere. Never get locked in. Docs · English · 中文 Drives Reach it from ![Slack](https:/

agentaiai-agentschatopsclaudeclaude-codecodexdevtoolsdiscord-botlark-bot

Quick Facts

Stars450
Forks63
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score64.3708337563262/100
Open Issues3
Last Updated2026-06-03
Created2025-08-09
Platformsclaude-code, codex, python
Est. Tokens~3212k

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Frequently Asked Questions

What is vibe-remote?

vibe-remote is Your AI agent army, commanded from Slack/Discord/Telegram/Wechat/Lark. Stream Claude Code, OpenCode, or Codex in real-time — from anywhere.. It is categorized as a Codex Skill with 450 GitHub stars.

What programming language is vibe-remote written in?

vibe-remote is primarily written in Python. It covers topics such as agent, ai, ai-agents.

How do I install or use vibe-remote?

You can find installation instructions and usage details in the vibe-remote GitHub repository at github.com/cyhhao/vibe-remote. The project has 450 stars and 63 forks, indicating an active community.

What license does vibe-remote use?

vibe-remote is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to vibe-remote?

The top alternatives to vibe-remote on Agent Skills Hub include avibe, agentsys, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools