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 Higangssh · MCP Server · ★ 290
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is homebutler safe to install? View the security audit →
HomeButler Your tiny homelab butler. A single Go binary for running a small home server without babysitting it. Website · Docs · Releases HomeButler helps you answer the boring but painful questions every homelab eventually creates: What is running on my server righ
| Stars | 290 |
| Forks | 20 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.5956490605868/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-23 |
| Created | 2026-02-23 |
| Platforms | cli, docker, go, mcp |
| Est. Tokens | ~22k |
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homebutler is 🏠 Tells you what changed on your server — only what's worth telling. Single Go binary, no database, nothing running on the machines it watches. MCP server built in.. It is categorized as a MCP Server with 290 GitHub stars.
homebutler is primarily written in Go. It covers topics such as ai, chatops, cli.
You can find installation instructions and usage details in the homebutler GitHub repository at github.com/Higangssh/homebutler. The project has 290 stars and 20 forks, indicating an active community.
homebutler is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to homebutler on Agent Skills Hub include ongrid, context-space, mcp-ssh-manager. 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: