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 alchaincyf · Agent Tool · ★ 278
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is huashu-mac-use safe to install? View the security audit →
huashu-mac-use ▲ 一个 coding agent 照着 4 张 AI 生成的照片，在 Blender 里建出来的十万吨级邮轮。建模、材质、灯光、渲染、运镜全程没有人碰鼠标，33 分钟。 「读随便读，写不打扰，每一步都留证据。」 让任何 agent 操控 Mac 上没有 API 的原生 app，并把每一步拍成可复现的取证。 基于开放的 Agent Skills 协议，Claude Code、Codex、Kimi Code、Cursor、OpenClaw、WorkBuddy、豆包工作、千问办公、ZCode 等任何能读 SKILL.md 的 runtime 都能装。 看效果 · 安装 · 它怎么工作 · 和官方 computer use 的关系 · 自主进化 看效果 装上之后，你在 agent 里说的是这种话： 三个已经跑通的案例： 4 张 AI 生成的同一艘船多视角照片 → 参数化建模 → 同机位渲染
| Stars | 278 |
| Forks | 44 |
| Language | Swift |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61.4526130077136/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-08 |
| Created | 2026-09-06 |
| Est. Tokens | ~17k |
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huashu-mac-use is 让任何 agent 操控 Mac 上没有 API 的原生 app，读后台、写不打扰、每步留取证 · Agent Skill for macOS computer use. It is categorized as a Agent Tool with 278 GitHub stars.
huashu-mac-use is primarily written in Swift.
You can find installation instructions and usage details in the huashu-mac-use GitHub repository at github.com/alchaincyf/huashu-mac-use. The project has 278 stars and 44 forks, indicating an active community.
huashu-mac-use is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to huashu-mac-use on Agent Skills Hub include awesome-android-agent-skills, agent-skills, claude-code-skill-factory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: