AgentCrew: A universal orchestration workbench for macOS

by qingni · Codex Skill · ★ 55

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

Security audit verdict: SAFE · quality 64/100

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.

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.

ai-agentsautomationclidagdeveloper-toomacosorchestrationpipelineswiftswiftui

Quick Facts

Stars55
Forks14
LanguageSwift
CategoryCodex Skill
LicenseApache-2.0
Quality Score64/100
Last Updated2026-04-15
Created2026-03-11
Platformsclaude-code, cli, codex
Est. Tokens~267k

About AgentCrew

AgentCrew 一个面向 macOS 的万物编排工作台(Universal CLI Orchestration Workbench) 不仅能将 Codex、Claude、Cursor-Agent 等多种 AI 工具无缝组织成可视化工作流,还能混合编排任意传统 CLI 命令(如 git、npm、docker、ffmpeg 等),在本地完成研发、测试、部署与自动化运维的完整闭环。 简体中文 | English ✨ 核心亮点 (Key Features) AgentCrew 并非要替代某一个具体的 AI 聊天工具,而是提供一个统一的 Orchestration Layer,让多种 AI CLI 能以更稳定、可复用、可观察的方式协作。 💻 极致的 macOS 原生体验 基于 SwiftUI 构建,运行轻量、流畅。 可视化 Flowchart、全链路执行监控、本地系统通知。 🔄...

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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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