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VMware-AIops

Skill Development Usable

VMware vCenter/ESXi AI-powered monitoring and operations. Two skills: vmware-monitor (read-only, safe) and vmware-aiops (full operations) | Claude Code Skill

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

Automates monitoring and operational tasks across VMware infrastructure without manual vCenter/ESXi access, reducing incident response time and human error in VM and host management.

Infrastructure teams managing VMware deployments who need programmatic visibility and remediation capabilities integrated into Claude workflows.

Claude Code Claude Cowork Claude Chat

https://github.com/zw008/VMware-AIops

By zw008

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 zw008/VMware-AIops

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

CostFree

Trust Signals Auto-scanned

Stars44Last updated2026-05-20LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Growing

Discussed on Reddit

10 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 44 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 44 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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