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 omarshahine · MCP Server · ★ 165
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is HomeClaw safe to install? View the security audit →
HomeClaw Control your Apple HomeKit smart home from AI assistants, the terminal, and automation tools. HomeClaw exposes your HomeKit accessories through a command-line tool, a stdio MCP server, and plugins for Claude Code and OpenClaw. It runs as a lightweight macOS menu bar app. Screenshots Settings — every preference in one place CLI — every accessory, one command away <img src="docs/images/framed-tui.png" width="700" alt="Terminal UI — accessory tree with live st
| Stars | 165 |
| Forks | 24 |
| Language | Swift |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.2602118366983/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-06 |
| Created | 2026-02-24 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~26k |
These tools work well together with HomeClaw for enhanced workflows:
Looking for a HomeClaw alternative? If you're comparing HomeClaw with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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HomeClaw is HomeKit smart home control via MCP — lights, locks, thermostats, and scenes for Claude Desktop, Claude Code, and OpenClaw. It is categorized as a MCP Server with 165 GitHub stars.
HomeClaw is primarily written in Swift. It covers topics such as claude, homekit, macos.
You can find installation instructions and usage details in the HomeClaw GitHub repository at github.com/omarshahine/HomeClaw. The project has 165 stars and 24 forks, indicating an active community.
HomeClaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to HomeClaw on Agent Skills Hub include Homekit, claude-code-apple-skills, CoWork-OS. 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: