zdx-investigate-multi-app-outage

zdx-investigate-multi-app-outage is a skill for Claude Code from zscaler/zscaler-mcp-server. It costs 155 tokens per session (5,638 once invoked), scanned A, original, MIT.

A diagnostic workflow for an office where multiple cloud applications are failing at once. It compares affected devices, alerts, and shared network paths to find a common bottleneck.

In plain words
What is it for?
Use it when users at one office cannot reach two or more services, such as Salesforce and ServiceNow, and you need to identify affected devices and the shared network segment.
Why use it?
It helps distinguish a site-wide network problem from separate application failures. The investigation links the impact to evidence from the affected location and applications.

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 when users at one office cannot reach two or more services, such as Salesforce and ServiceNow, and you need to identify affected devices and the shared network segment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zscaler/zscaler-mcp-server/investigate-multi-app-outage
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 investigate-multi-app-outage
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 zdx-investigate-multi-app-outage

README.md
[![agentmods](https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/investigate-multi-app-outage/github.svg)](https://agentmods.dev/skills/zscaler/zscaler-mcp-server/investigate-multi-app-outage)
Your own site
<a href="https://agentmods.dev/skills/zscaler/zscaler-mcp-server/investigate-multi-app-outage"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/investigate-multi-app-outage/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 zdx-investigate-multi-app-outage

Your own site · 80×15
<a href="https://agentmods.dev/skills/zscaler/zscaler-mcp-server/investigate-multi-app-outage"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/investigate-multi-app-outage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,638 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 $0.00155 $0.05638
Opus 5 $0.00077 $0.02819
Sonnet 5 $0.00031 $0.01128
Haiku 4.5 $0.00015 $0.00564

Measured 12d ago against content hash 311a73cfff7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

zdx-investigate-multi-app-outage 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/zdx/investigate-multi-app-outage/SKILL.md · 425 lines

How it starts

The opening of the file, as written. The whole thing — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ZDX: Investigate Multi-Application Outage at a Location

Keywords

multi-app outage, location outage, office outage, common network path, shared bottleneck, cross-app correlation, hop analysis, ISP issue, cloud path, multiple applications affected, regional outage, site-wide issue, salesforce slow, servicenow slow, cross-tenant impact, shared infrastructure

Overview

Diagnose a scenario where users at one specific office or location are unable to reach multiple SaaS applications simultaneously. The skill correlates active ZDX alerts, scopes impact by location, intersects the affected-device lists across the impacted apps, and then compares the per-application network path (cloud path) on a common affected device to identify the shared upstream segment that is the actual root cause.

Use this skill when: An admin receives a ZDX alert (or user complaint) that names a single office and two or more applications — e.g., "Columbus users can't reach Salesforce and ServiceNow" — and the desired output is a list of affected devices plus an evidence-backed identification of the shared network path issue.

ZDX Copilot alignment: Troubleshooting + Optimization — converts a coarse "users at office X can't reach apps Y/Z" complaint into a hop-level root cause and a prioritized remediation list.


⚠ HTML OUTPUT — READ THIS BEFORE PRODUCING ANY HTML

You MUST NOT hand-write or copy/paste an HTML page for this skill. There is exactly one acceptable way to produce the HTML output:

  1. Read this file from disk — do NOT inline a copy in your response. The template lives next to this SKILL.md inside the skill's package, at:

    ./templates/report.html.template
    

    The ./ prefix is intentional: this path is relative to the skill folder (the directory containing this SKILL.md), never an absolute path. Most agents that load skills from an uploaded .zip extract the package into a working directory and expose its contents via that relative path — read the file by joining the skill's own root directory with ./templates/report.html.template. Do not rewrite this to an absolute path that points at the author's machine.

Read the full file on GitHub · 425 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 425 lines · 155 tokens per session scan A 311a73cfff7c

Subscribe to this mod's changes

zdx-investigate-multi-app-outage is a skill published in the GitHub repository zscaler/zscaler-mcp-server (50 stars, last pushed 5d ago), licensed MIT. It adds 155 tokens to every session and 5,638 once invoked, about $0.0008 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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