zms-assess-workload-protection

zms-assess-workload-protection is a skill for Claude Code from zscaler/zscaler-mcp-server. It costs 103 tokens per session (3,053 once invoked), scanned A, original, MIT.

An assessment of workload protection in Zscaler Microsegmentation, a security system that limits which workloads can communicate with one another.

In plain words
What is it for?
Use it to identify unprotected workloads, review gaps by cloud and region, check resource-group coverage, and create a plan to reduce lateral movement risk.
Why use it?
It finds where protection coverage breaks down, including missing agents, missing resource-group membership, or policies that do not cover a workload.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the zscaler plugin — 42 skills, 20 commands, 1 MCP server shipped together

Good fit Use it to identify unprotected workloads, review gaps by cloud and region, check resource-group coverage, and create a plan to reduce lateral movement risk.

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Install with agentmods
npx agentmods add skills/zscaler/zscaler-mcp-server/assess-workload-protection
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zscaler/zscaler-mcp-server --skill assess-workload-protection
Clone the repo
git clone --depth 1 https://github.com/zscaler/zscaler-mcp-server

Made for: Claude Code.

Or install zscaler, the plugin that ships this one along with the rest of its 42 skills, 20 commands, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for zms-assess-workload-protection

README.md
[![agentmods](https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/assess-workload-protection/github.svg)](https://agentmods.dev/skills/zscaler/zscaler-mcp-server/assess-workload-protection)
Your own site
<a href="https://agentmods.dev/skills/zscaler/zscaler-mcp-server/assess-workload-protection"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/assess-workload-protection/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for zms-assess-workload-protection

Your own site · 80×15
<a href="https://agentmods.dev/skills/zscaler/zscaler-mcp-server/assess-workload-protection"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/assess-workload-protection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,053 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.03053
Opus 5 $0.00051 $0.01527
Sonnet 5 $0.00021 $0.00611
Haiku 4.5 $0.00010 $0.00305

Measured 12d ago against content hash 1c5dc9ef1818, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

zms-assess-workload-protection scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/zms/assess-workload-protection/SKILL.md · 415 lines

How it starts

The opening of the file, as written. The whole thing — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ZMS: Assess Workload Protection & Coverage Gaps

Keywords

workload protection, protection gaps, unprotected resources, protection status, resource groups, resource coverage, microsegmentation coverage, workload inventory, protected workloads, coverage percentage, security gaps, lateral movement risk

Overview

Perform a focused assessment of workload protection coverage in Zscaler Microsegmentation. This skill systematically identifies unprotected resources, analyzes resource group coverage, breaks down protection status by cloud provider and region, and produces an actionable remediation plan to close coverage gaps.

In a microsegmentation deployment, a workload (resource) is "protected" when:

  1. An agent is deployed and connected on the workload
  2. The workload belongs to at least one resource group
  3. The resource group is referenced by at least one policy rule

A gap at any of these three levels leaves the workload exposed to lateral movement. This skill investigates all three levels to find exactly where coverage breaks down.

Use this skill when: An administrator needs to identify unprotected workloads for remediation, prepare protection coverage reports for compliance, assess whether new deployments have adequate segmentation, or track protection percentage over time.

Important:

  • All ZMS tools require ZSCALER_CUSTOMER_ID to be set as an environment variable.
  • All current MCP tools are read-only (Query operations).
  • Remediation (creating resource groups, adding policy rules) must be done through the Zscaler admin portal or the ZMS API directly.

Workflow

Follow this 6-step process for a complete workload protection assessment.

Step 1: Get the Protection Status Overview

Get overall resource protection status:

zms_get_resource_protection_status(page_num=1, page_size=100)
```text

This returns the headline metric:

- **Total resources**: All workloads discovered by agents
- **Protected count**: Workloads with active segmentation coverage
- **Unprotected count**: Workloads without policy coverage
- **Protection percentage**: The primary coverage KPI

Read the full file on GitHub · 415 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 415 lines · 103 tokens per session scan A 1c5dc9ef1818

Subscribe to this mod's changes

zms-assess-workload-protection is a skill published in the GitHub repository zscaler/zscaler-mcp-server (50 stars, last pushed 5d ago), licensed MIT. It adds 103 tokens to every session and 3,053 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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