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vmware-policy skill for OpenClaw

⬇ 3.1K downloads ★ 0 stars Version 1.17.0 Rank #3494 of 10,000+

What this skill does

Unified audit logging, policy enforcement, and input sanitization for the entire VMware MCP skill family. Use when querying audit logs, managing policy rules, or when any VMware skill needs audit/policy infrastructure. Provides the @vmware_tool decorator that most skills in the family wrap their MCP tools in. Use when user asks to "show audit log", "check denied operations", "view policy rules", "audit stats", or "query audit trail". For VM lifecycle use vmware-aiops, for monitoring use vmware-monitor, for networking use vmware-nsx, for load balancing use vmware-avi.

The vmware-policy skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

The vmware-policy skill is ranked #3494 by downloads in the OpenClaw skill catalog (3.1K total downloads, 0 stars). It belongs to the Developer Tools category alongside 3540 other top-10000 skills.

How to install the vmware-policy skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for vmware-policy and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the vmware-policy skill with a single command:

openclaw skills add vmware-policy

This pulls vmware-policy from ClawHub and installs it into ~/.openclaw/skills/vmware-policy/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the vmware-policy skill

Once installed, the vmware-policy skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab vmware-policy-1.17.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/vmware-policy/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install vmware-policy?

Install vmware-policy in the OpenClaw Easy desktop app by opening the Skills panel, searching for vmware-policy, and clicking Install. From a terminal you can run: openclaw skills add vmware-policy. Either way the skill is placed in ~/.openclaw/skills/vmware-policy/.

Is the vmware-policy skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does vmware-policy do?

Unified audit logging, policy enforcement, and input sanitization for the entire VMware MCP skill family. Use when querying audit logs, managing policy rules, or when any VMware skill needs audit/policy infrastructure.

Related: more developer tools skills

If the vmware-policy skill looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models