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 check-user-url-accessgit 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/check-user-url-access)<a href="https://agentmods.dev/skills/zscaler/zscaler-mcp-server/check-user-url-access"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/check-user-url-access/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/check-user-url-access"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/check-user-url-access.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 | $0.00095 | $0.02234 |
| Opus 5 | $0.00048 | $0.01117 |
| Sonnet 5 | $0.00019 | $0.00447 |
| Haiku 4.5 | $0.00010 | $0.00223 |
Grade A, and why
zia-check-user-url-access 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 11d 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ZIA: Check User URL Access
Keywords
can user access, is url blocked, why blocked, url access check, user access, policy evaluation, url allowed, access denied, troubleshoot access, blocked site, user policy
Overview
Determine whether a specific user (or group/department) can access a given URL by evaluating all applicable ZIA policies in priority order. This skill simulates the policy evaluation engine by checking URL category classification, then walking through URL filtering, SSL inspection, DLP, and firewall rules to produce a definitive access verdict with full reasoning.
Use this skill when: An administrator asks whether a user can access a specific URL, why a URL is being blocked, or needs to understand which policy rules affect access for a specific user.
Workflow
Follow this 6-step process to evaluate user URL access.
Step 1: Identify the User and URL
Collect from the administrator:
- URL to check (e.g., "chat.openai.com", "github.com")
- User identifier -- username, email, group name, or department
Look up the user:
get_zia_users(search="<username_or_email>")
```text
Note the user's:
- User ID
- Department (ID and name)
- Groups (IDs and names)
If the admin specified a group or department instead:
```text
get_zia_user_groups(search="<group_name>")
get_zia_user_departments(search="<department_name>")
```text
---
### Step 2: Classify the URL
```text
zia_url_lookup(urls=["<url>"])
```text
This returns:
- `urlClassifications` -- the category(ies) the URL belongs to
- `urlClassificationsWithSecurityAlert` -- whether there are security alerts
Note all categories returned. A URL can belong to multiple categories.
#### Example
```text
URL: chat.openai.com
Categories: AI/ML Applications, Technology
Security Alert: None
```text
---
### Step 3: Evaluate URL Filtering Rules
```text
zia_list_url_filtering_rules()
```text
Walk through rules in **order** (lowest order number = highest priority). For each rule, check if it matches:
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.
- 11d ago First seen · 310 lines · 95 tokens per session scan A 7f6c90a1a2b7
zia-check-user-url-access is a skill published in the GitHub repository zscaler/zscaler-mcp-server (50 stars, last pushed 3d ago), licensed MIT. It adds 95 tokens to every session and 2,234 once invoked, about $0.0005 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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