by wxtsky · Agent Tool · ★ 2.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install --cask codeisland
git clone https://github.com/wxtsky/CodeIsland.gitTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 2,526 |
| Forks | 324 |
| Language | Swift |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73/100 |
| Last Updated | 2026-10-28 |
| Created | 2026-04-06 |
| Platforms | claude-code |
| Est. Tokens | ~17k |
CodeIsland Real-time AI coding agent status panel for macOS Dynamic Island (Notch) Install • Features • Supported Tools • Build English | 简体中文 What is CodeIsland? CodeIsland lives in your MacBook's notch area and shows you what your AI coding agents are doing — in real time. No more switching windows to check if Claude is waiting for approval or if Codex finished its task.
These tools work well together with CodeIsland for enhanced workflows:
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A tiny friend in your Mac's notch and on your iPhone that keeps an eye on your AI coding agents: Claude Code,
macOS Dynamic Island for AI coding agents. Monitor, approve, and jump to Claude Code sessions from the notch.
Claude Code skills for Apple platform development (iOS, macOS, iPadOS) — product validation, code generation,
Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex
everything-claude-code 中文翻译项目：完整的 Claude Code 配置集合（agents, skills, hooks, commands, rules, MCPs）。源自 Anthropic
Local-first macOS app to browse, search, analyze, and resume supported AI coding-agent session history across
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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: