open-vibe-island: Native macOS control center for AI coding agents — monitor sessions, approve actions, and jump back instantly

by Octane0411 · Codex Skill · ★ 2.1k

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

How to install open-vibe-island

git clone https://github.com/Octane0411/open-vibe-island.git

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

Security audit verdict: SAFE · quality 67/100

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.

agentclaudecodecode-islandcodeislandcodexgemini-cliislandopen-islandopencodeopenisland

Quick Facts

Stars2,059
Forks358
LanguageSwift
CategoryCodex Skill
LicenseGPL-3.0
Quality Score67/100
Open Issues222
Last Updated2026-11-02
Created2026-04-02
Platformsclaude-code, cli, codex, gemini
Est. Tokens~19k

About open-vibe-island

Open Island Why pay for a closed-source app just to monitor your coding agents? Open-source, local-first, native macOS companion for AI coding agents. 中文 | English Download · Quick Start · Roadmap · Contributing What i

Compatible Skills

These tools work well together with open-vibe-island for enhanced workflows:

  • code-container — semantic(0.25)+complementary+similar_pop+shared_platform (49%)
  • claude-debugs-for-you — semantic(0.24)+complementary+rare_topics+similar_pop+shared_platform (48%)
  • ai-agent-skills — semantic(0.23)+complementary+similar_pop+shared_platform (48%)
  • agentsys — semantic(0.20)+complementary+similar_pop+shared_platform (47%)

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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:

View on GitHub → Browse Codex Skill tools