zms-audit-microsegmentation-posture
Skill from zscaler/zscaler-mcp-server
Install
npx skills add zscaler/zscaler-mcp-server --skill zms-audit-microsegmentation-posture
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-official
/plugin install zscaler@zscaler
This skill is part of the plugin “zscaler”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.
What does the zms-audit-microsegmentation-posture skill do?
Description from the SKILL.md in the source repository.
Questions about zms-audit-microsegmentation-posture
What does the zms-audit-microsegmentation-posture skill do?
Audit the overall Zscaler Microsegmentation (ZMS) deployment posture. Reviews agent fleet health, workload protection coverage, resource group structure, policy rules, app zones, application catalog, and tag-based classification. Use when an administrator asks: 'What is our microsegmentation coverage?', 'How many workloads are protected?', 'Show me our ZMS policies', 'Review our microsegmentation deployment', or 'Audit our ZMS posture.'
How do I install zms-audit-microsegmentation-posture?
In a terminal: npx skills add zscaler/zscaler-mcp-server --skill zms-audit-microsegmentation-posture. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use zms-audit-microsegmentation-posture?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is zms-audit-microsegmentation-posture safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
More skills from zscaler/zscaler-mcp-server
Investigate security incidents using Zscaler Z-Insights analytics. Correlates threat categories, cyber incident trends, firewall actions, web traffic patterns, and shadow IT data to build a comprehensive incident timeline. Use when a security analyst asks: 'What threats were detected?', 'Show me incident trends', 'Investigate this security event', or 'What shadow IT is being used?'
End-to-end onboarding of a new Browser Access (BA) application in Zscaler Private Access. Walks through the full dependency chain — App connector group, server group, segment group, BA TLS certificate, BA application segment with apps_config, and access policy rule — for web apps that should be reachable through the browser without Zscaler Client Connector. Use only when the admin explicitly asks for Browser Access. DO NOT USE WHEN: the admin wants a regular client-routed application segment (use zpa-application_segment-onboard instead).
Troubleshoot Zscaler Microsegmentation (ZMS) agent deployment and connectivity issues. Investigates agent fleet health, connection status, version compliance, agent group configuration, provisioning keys, and TOTP secrets. Use when an administrator reports: 'Agents are disconnected', 'Agent enrollment failing', 'How do I provision new agents?', 'Check agent versions', or 'Agent not connecting.'
Review Zscaler Microsegmentation (ZMS) tag classification, application discovery, and tag-to-resource-group mapping. Investigates tag namespaces (CUSTOM, EXTERNAL, ML), tag keys and values, application catalog entries, and how tags drive managed resource group membership. Use when an administrator asks: 'Show me our tag structure', 'What cloud tags are imported?', 'How are resource groups using tags?', 'What applications were discovered?', 'Review tag classification', or 'Are ML tags being used?'
Assess Zscaler Microsegmentation (ZMS) workload protection coverage and identify protection gaps. Investigates resource protection status, resource group membership, unprotected workloads by cloud and region, and resource group coverage gaps. Use when an administrator asks: 'Which workloads are unprotected?', 'What is our microsegmentation coverage?', 'Find protection gaps', 'Which resource groups have no policies?', 'Show me unprotected resources', or 'What is our workload coverage percentage?'
Analyze Zscaler Microsegmentation (ZMS) policy rules for optimization opportunities. Reviews custom and default policy rules, identifies stale or unused rules, detects overly permissive rules, maps cross-zone communication patterns, and assesses default security posture. Use when an administrator asks: 'Are there unused policy rules?', 'Which rules are too broad?', 'Optimize our segmentation policies', 'Review our default deny posture', 'Show me policy rule coverage', or 'Analyze our ZMS policies.'
Assess network security posture using Zscaler Analytics (Z-Insights). Analyzes Zero Trust Firewall effectiveness by action distribution (allow/block ratios), location-based firewall activity, network service usage, and firewall rule hit counts. Use when a security team asks: 'How effective is our firewall?', 'What is being blocked?', 'Show firewall activity by location', 'Which network services are in use?', or 'Generate a firewall report.'
End-to-end onboarding of a new ZIA location with its traffic forwarding dependencies. Walks through the full dependency chain: (1) Create a static IP for the site's egress point, (2) Create VPN credentials (UFQDN or IP-based) for the IPSec tunnel, (3) Create the location referencing the static IP and VPN credentials, (4) Optionally create a sub-location. Covers both UFQDN-based (simple) and IP-based (requires static IP first) VPN credential flows. Use when an administrator asks: 'Add a new office location', 'Onboard a branch office', or 'Set up traffic forwarding for a new site.'
Related skills in Security
DAST-first NightVision scan for an app you just built or changed. Use when a user, or a project or org agent-instructions rule, wants a local, private, staging, or internal web app/API security-scanned. Drives the NightVision MCP `run-app-security-scan` harness.
Read-only PREVIEW of a Snowflake environment from the operator's machine - inventory of tables and views with row counts, byte sizes and column types, plus the census of objects that are not tables or views, table-maintenance state and security posture. Use ONLY when the user wants to look at an account without migrating it - answering what is in there, how big the tables are, what the security posture looks like. This is NOT the discovery step of a migration: a migration discovers inside AIDP as a workflow (runbook S6), because a laptop-side read leaves no log and no evidence on the platform. If the user asked to migrate, route to snowflake-migrator-overview and follow S1 through S12.
Manage and search AIDP audit logs — enable/disable auditing, set retention, and query audit-log entries for a DataLake. Use when the user asks about audit logging, who did what, compliance/retention of AIDP activity, or wants to search audit events. Self-contained — official `aidp audit` CLI preferred, `oci raw-request` fallback.
Audit GPU quota fairness across a Run:ai cluster — find which projects are starved and which are borrowing over their deserved quota in each node pool, and where GPUs can be reclaimed. Use when an admin asks "who is over quota in node-pool X", "which projects are starved", "is the cluster shared fairly", "where can I reclaim GPUs", "show deserved vs allocated by project or department", or when a team reports it can't get GPUs and you suspect unfair borrowing. This is the quota / fairness axis (deserved vs allocated). For idle-but-held GPUs use runai-get-utilization-overview; for a health/scheduling verdict use runai-get-cluster-health-summary.
Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.
Use this skill when the user is deploying or operating the DOCA Argus Service — the packaged BlueField-side runtime-security container that watches the BlueField and attached host for suspicious activity, integrity violations, and operational anomalies, and forwards findings to a SIEM (Splunk / ELK / Sentinel / syslog). Covers the four-axis config (detection policy, forwarding, sampling, host coverage), running the NGC container on BlueField Arm, and wiring the forwarder. Trigger even without "DOCA Argus" by name — typical implicit phrasings: "container green but no findings arrive", "false-positive flood in Splunk", or "runtime security on a fleet of BlueField-3s". Refuse and route elsewhere for installing DOCA, SIEM-side ingest stanzas, pre-baked detection-rule packs, and metrics observability (DOCA Telemetry). Argus is NVIDIA's currently- promoted runtime-security framework, superseding the older App Shield library; name it first for new runtime-security work.
Audit an existing eval suite for trustworthiness. Use when inheriting evals, suspecting evals miss real failures, or after significant pipeline changes.
Execution skill. Use when auditing, reviewing, or health-checking a Pigment application. Covers the structured audit checklist, severity classification, and output format. Also triggers on requests to clean up, find unused blocks, assess model quality, or find what is wrong with an application.