How to use the Microsegmentation for Zero Trust agent skill

What does the skill make the agent do?

Once installed, the agent follows a structured process for microsegmentation: mapping which servers and containers actually communicate, labelling workloads by role, application and environment, drafting allow-list rules that deny everything else, testing those rules in a non-enforcing mode, and then enforcing them gradually.

The skill also includes an audit script that flags overly open cloud firewall rules, such as AWS security groups open to 0.0.0.0/0, and a flow-analysis script that checks observed traffic against proposed policies. The guidance is aligned with NIST SP 800-207 zero trust principles.

• Map real traffic flows between workloads before writing policy
• Label workloads by role, application, environment and location
• Draft default-deny allow-lists per application
• Model policies in test mode before enforcing them
• Enforce incrementally and validate with lateral movement tests

How do you install the skill?

Download the ZIP file from this page and unzip it. For a personal setup, place the unzipped folder in ~/.claude/skills/. For a single project, place it in that project's .claude/skills/ folder.

You can also upload the skill in the Claude apps under Settings → Capabilities → Skills.

• Personal install: ~/.claude/skills/
• Project install: .claude/skills/ inside your project
• Claude apps: Settings → Capabilities → Skills, then upload

What files are included?

The skill folder contains SKILL.md, which holds the main workflow, plus reference material and a template. The scripts are in the scripts folder.

• SKILL.md: the core instructions and four-phase workflow
• assets/template.md: an implementation plan template with workload inventory and zone design tables
• references/workflows.md, references/standards.md and references/api-reference.md: supporting reference material
• scripts/agent.py and scripts/process.py: the scripts described on this page

How do you trigger the skill with natural requests?

You do not need a special command. Describe the segmentation task in plain language and the agent should use the skill when the request matches its purpose, such as designing or implementing network microsegmentation as part of zero trust.

Be specific about your environment. Mention whether you use VMware NSX, Illumio, Calico or AWS, and what you need to produce, such as a rollout plan or a policy review.

• "Help me design microsegmentation for our PCI cardholder data environment."
• "Draft a phased rollout plan for Illumio policies across our app and database tiers."
• "Review this planned segmentation design for gaps against NIST SP 800-207."
• "Check our AWS security groups for rules open to 0.0.0.0/0."

What can you ask it to do in practice?

The skill is most useful for structured planning work. Its workflow covers discovery, policy design, enforcement and ongoing maintenance. Ask the agent to work through one phase at a time so you can review each output before moving on.

For example, you can ask for a label taxonomy using Role, Application, Environment and Location, then a ring-fencing plan for a regulated application, then a checklist for the validation phase. The template file gives you a starting structure for the implementation plan.

What do you need before running the scripts?

The scripts need Python 3.8 or later and the requests library. The AWS security group audit also needs the boto3 library and AWS credentials. The flow analyzer needs a network flow export in CSV or JSON format.

Management tools such as VMware NSX, Illumio or Calico are referenced in the guidance but the scripts do not require them.

• Python 3.8+
• requests Python library (pip install requests, as listed in the reference file)
• boto3 and AWS credentials, only for the AWS security group audit
• A network flow export in CSV or JSON, for the flow analyzer

What safety notes should you follow?

The skill runs scripts and uses the network. The skill itself states that testing requires authorization and a test environment. Do not run the audit or flow scripts against production networks without authorization, and prefer a lab copy of your environment.

Policies should be modeled in test or visibility mode before enforcement. Keep break-glass procedures documented so that a blocked change can be reversed.

• Get written authorization before testing any network
• Use a lab or test copy first
• Review what each script calls before running it
• Never enforce policies before the test-mode review