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.
npx skills add zscaler/zscaler-mcp-server --skill review-attack-surfacegit clone --depth 1 https://github.com/zscaler/zscaler-mcp-serverWrote 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.
[](https://agentmods.dev/skills/zscaler/zscaler-mcp-server/review-attack-surface)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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
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.
- 9d ago First seen · 264 lines · 81 tokens per session scan A 30c1fdee1045
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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