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homelab-monitor

Skill Infrastructure Usable
Works inClaude Code
Usable Scanned — metadata only

Consolidates fragmented homelab observability into a single pane without manual configuration, reducing operational overhead and enabling AI agents to autono…

Plug-and-play homelab dashboard in one container — GPU, local-AI VRAM, Docker, systemd, host health. Built-in read-only MCP server so AI agents can explore it too.

203 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Consolidates fragmented homelab observability into a single pane without manual configuration, reducing operational overhead and enabling AI agents to autonomously diagnose infrastructure issues.

Homelab operators and infrastructure hobbyists managing multi-service environments with GPU/local-AI workloads who need rapid visibility without custom dashboards.

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https://github.com/SikamikanikoBG/homelab-monitor

By SikamikanikoBG

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install SikamikanikoBG/homelab-monitor

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Check GPU utilization and temperature across my homelab servers right now
CostFree

Trust Signals Auto-scanned

Stars203Last updated2026-09-19LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-19 · scanner v1

Community Pulse Emerging

Discussed on Hacker News

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 203 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 203 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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