vibekit: Run Claude Code, Gemini, Codex — or any coding agent — in a clean, isolated sandbox with sensitive data

by superagent-ai · Codex Skill · ★ 1.9k

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

How to install vibekit

npm install -g vibekit
npm install @vibe-kit/sdk

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentaiclaude-codecodexgemini-clivibe-coding

Quick Facts

Stars1,857
Forks248
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score61/100
Open Issues37
Last Updated2026-01-13
Created2025-05-14
Platformsclaude-code, cli, codex, gemini, node
Est. Tokens~2187k

About vibekit

VibeKit is the safety layer for your coding agent 🖖 Run Claude Code, Gemini, Codex — or any coding agent — in a clean, isolated sandbox with sensitive data redaction and observability baked in. Website • Docs • Discord 🚀 Quick Start Install the VibeKit CLI globally: Run claude code with enhanced security and tracking ⚡️ Key Features 🐳 Local sandbox - Runs agent output in isolated Docker...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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