easm-review-attack-surface

easm-review-attack-surface is a skill for Claude Code from zscaler/zscaler-mcp-server. It costs 81 tokens per session (1,836 once invoked), scanned A, original, MIT.

A workflow for reviewing an organization's internet-facing systems with Zscaler EASM, a security service that finds exposed services, weaknesses, configuration problems, and lookalike domains.

In plain words
What is it for?
Use it to list monitored organizations, retrieve external security findings, investigate vulnerabilities, check for phishing-related lookalike domains, and prepare a prioritized risk summary.
Why use it?
It gives security teams a structured way to discover risks outside their known network and prioritize what needs attention.

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 list monitored organizations, retrieve external security findings, investigate vulnerabilities, check for phishing-related lookalike domains, and prepare a prioritized risk summary.

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Install with agentmods
npx agentmods add skills/zscaler/zscaler-mcp-server/review-attack-surface
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 review-attack-surface
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 easm-review-attack-surface

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/zscaler/zscaler-mcp-server/review-attack-surface"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/review-attack-surface.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,836 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 $0.00081 $0.01836
Opus 5 $0.00041 $0.00918
Sonnet 5 $0.00016 $0.00367
Haiku 4.5 $0.00008 $0.00184

Measured 9d ago against content hash 30c1fdee1045, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

easm-review-attack-surface 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 9d 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/easm/review-attack-surface/SKILL.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EASM: Review Attack Surface

Keywords

attack surface, external exposure, easm findings, exposed services, vulnerabilities, lookalike domains, external risk, shadow IT discovery, internet-facing assets, security posture, easm audit

Overview

Review the organization's external attack surface by retrieving EASM findings, analyzing exposed services and vulnerabilities, checking for lookalike domains (phishing indicators), and generating a prioritized risk report. EASM provides visibility into internet-facing assets that may not be known to the security team.

Use this skill when: A security administrator wants to review the organization's external exposure, check for new findings, investigate specific vulnerabilities, or detect lookalike domains used for phishing.


Workflow

Follow this 5-step process to review the external attack surface.

Step 1: List EASM Organizations

zeasm_list_organizations()
```text

EASM can monitor multiple organizations or business units. Note:

- Organization ID and name
- Monitored domains/assets
- Last scan date

If multiple organizations exist, confirm which one to review.

---

### Step 2: Retrieve Findings

```text
zeasm_list_findings(organization_id="<org_id>")
```text

This returns all findings across the attack surface. Each finding includes:

- Finding type (exposed service, vulnerability, misconfiguration, certificate issue)
- Severity (Critical, High, Medium, Low, Informational)
- Asset affected (domain, IP, subdomain)
- Discovery date
- Current status

**For detailed information on a specific finding:**

```text
zeasm_get_finding_details(organization_id="<org_id>", finding_id="<finding_id>")
```text

**For scan evidence:**

```text
zeasm_get_finding_evidence(organization_id="<org_id>", finding_id="<finding_id>")
```text

**For complete scan output:**

```text
zeasm_get_finding_scan_output(organization_id="<org_id>", finding_id="<finding_id>")
```text

---

### Step 3: Check for Lookalike Domains

Read the full file on GitHub · 264 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. 9d ago First seen · 264 lines · 81 tokens per session scan A 30c1fdee1045

Subscribe to this mod's changes

easm-review-attack-surface is a skill published in the GitHub repository zscaler/zscaler-mcp-server (50 stars, last pushed 2d ago), licensed MIT. It adds 81 tokens to every session and 1,836 once invoked, about $0.0004 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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