agent-island — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

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 tristan666666 · Codex Skill · ★ 134

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

🔒 Is agent-island safe to install? View the security audit →

About agent-island

Agent Island Your AI night-watch — auto-resume long Claude/Codex runs and see live state in the notch. 简体中文 <img src="htt

agent-monitorai-agentsai-codingantigravityclaudeclaude-codecodexcursordeveloper-toolsgrok

Quick Facts

Stars134
Forks15
LanguageSwift
CategoryCodex Skill
LicenseMIT
Quality Score65.567896576187/100
Open Issues23
Last Updated2026-08-11
Created2026-06-17
Platformsclaude-code, codex
Est. Tokens~16k

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Frequently Asked Questions

What is agent-island?

agent-island is Open-source status companion for your AI coding agents — Claude Code, Codex, Antigravity, Grok, and Cursor. Live session state, your-turn alerts, quotas and cost, all computed locally on macOS and Win. It is categorized as a Codex Skill with 134 GitHub stars.

What programming language is agent-island written in?

agent-island is primarily written in Swift. It covers topics such as agent-monitor, ai-agents, ai-coding.

How do I install or use agent-island?

You can find installation instructions and usage details in the agent-island GitHub repository at github.com/tristan666666/agent-island. The project has 134 stars and 15 forks, indicating an active community.

What license does agent-island use?

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

What are the best alternatives to agent-island?

The top alternatives to agent-island on Agent Skills Hub include codexU, Awayke, CodexBar. 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