zins-audit-shadow-it

zins-audit-shadow-it is a skill for Claude Code from zscaler/zscaler-mcp-server. It costs 114 tokens per session (3,165 once invoked), scanned A, original, MIT.

An audit of unapproved cloud applications, known as shadow IT, using Zscaler Analytics. It also reviews SaaS usage, data transfers, cloud security findings, and connected IoT devices.

In plain words
What is it for?
Discovering unauthorized applications, reviewing risk and data-transfer activity, checking protected SaaS use, inventorying IoT devices, and supporting security audits.
Why use it?
It shows where employees may be using unsanctioned services and where that usage could create data-leakage, compliance, or visibility risks.

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 Discovering unauthorized applications, reviewing risk and data-transfer activity, checking protected SaaS use, inventorying IoT devices, and supporting security audits.

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Install with agentmods
npx agentmods add skills/zscaler/zscaler-mcp-server/audit-shadow-it
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 audit-shadow-it
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 zins-audit-shadow-it

README.md
[![agentmods](https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/audit-shadow-it/github.svg)](https://agentmods.dev/skills/zscaler/zscaler-mcp-server/audit-shadow-it)
Your own site
<a href="https://agentmods.dev/skills/zscaler/zscaler-mcp-server/audit-shadow-it"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/audit-shadow-it/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 zins-audit-shadow-it

Your own site · 80×15
<a href="https://agentmods.dev/skills/zscaler/zscaler-mcp-server/audit-shadow-it"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/audit-shadow-it.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,165 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 $0.00114 $0.03165
Opus 5 $0.00057 $0.01582
Sonnet 5 $0.00023 $0.00633
Haiku 4.5 $0.00011 $0.00316

Measured 10d ago against content hash 4f5d58993a7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

zins-audit-shadow-it 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 10d 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/zins/audit-shadow-it/SKILL.md · 344 lines

How it starts

The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Z-Insights: Audit Shadow IT and SaaS Usage

Keywords

shadow IT, unsanctioned apps, SaaS security, CASB, cloud access, risk score, data exfiltration, SaaS compliance, unauthorized applications, cloud apps, IoT devices, device visibility, shadow IT report, app governance

Overview

Audit your organization's shadow IT exposure and SaaS application usage using Zscaler Analytics (Z-Insights). This skill discovers unsanctioned applications, assesses their risk, monitors CASB-protected cloud services, tracks data transfers, and inventories IoT devices on the network. Shadow IT represents a significant security and compliance risk -- users adopting cloud applications without IT approval can lead to data leaks, compliance violations, and expanded attack surface.

Use this skill when: A security or compliance team needs to discover unauthorized SaaS usage, generate shadow IT risk reports, review CASB findings, assess IoT device sprawl, or support compliance audits (SOC2, ISO 27001, HIPAA).

Important constraints:

  • Z-Insights only supports historical data with a 24-48 hour processing delay
  • Shadow IT summary supports time ranges of 1, 7, 15, or 30 days
  • Shadow IT apps supports time ranges up to 30 days
  • CASB supports time ranges up to 90 days
  • IoT device stats show current state (no time range needed)

Workflow

Follow this 5-step process to audit shadow IT and SaaS usage.

Step 1: Understand the Audit Scope

Gather from the requester:

  • What is the audit goal? (compliance, risk assessment, incident investigation, routine review)
  • Time period to review? (7 days for recent, 14 days for broader view)
  • Specific application categories of concern? (file sharing, messaging, AI/ML, storage)
  • Compliance framework? (SOC2, ISO 27001, HIPAA, PCI-DSS, GDPR)
  • Need IoT device inventory?

Step 2: Get Shadow IT Summary

Get the overall shadow IT dashboard:

zins_get_shadow_it_summary(
    start_days_ago=16,
    end_days_ago=2
)

Read the full file on GitHub · 344 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. 10d ago First seen · 344 lines · 114 tokens per session scan A 4f5d58993a7e

Subscribe to this mod's changes

zins-audit-shadow-it is a skill published in the GitHub repository zscaler/zscaler-mcp-server (50 stars, last pushed 2d ago), licensed MIT. It adds 114 tokens to every session and 3,165 once invoked, about $0.0006 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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