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 analyze-web-trafficgit 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/analyze-web-traffic)<a href="https://agentmods.dev/skills/zscaler/zscaler-mcp-server/analyze-web-traffic"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/analyze-web-traffic/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/analyze-web-traffic"><img src="https://agentmods.dev/badge/skills/zscaler/zscaler-mcp-server/analyze-web-traffic.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 | $0.00091 | $0.02213 |
| Opus 5 | $0.00046 | $0.01107 |
| Sonnet 5 | $0.00018 | $0.00443 |
| Haiku 4.5 | $0.00009 | $0.00221 |
Grade A, and why
zins-analyze-web-traffic 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 — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Z-Insights: Analyze Web Traffic Patterns
Keywords
web traffic, traffic analytics, traffic by location, protocol distribution, HTTP HTTPS, DLP violations, traffic volume, traffic trends, bandwidth, capacity planning, web analytics, traffic report, data loss prevention
Overview
Analyze web traffic across your organization using the Zscaler Analytics (Z-Insights) GraphQL API. This skill retrieves traffic data by location, protocol distribution, threat categories, and overall volume. It supports DLP filtering, trend analysis, and allows measurement in transactions or bytes.
Use this skill when: An administrator or security analyst needs to understand web traffic patterns, plan capacity, monitor protocol adoption (e.g., HTTPS migration), investigate DLP policy violations, or generate traffic reports for specific time periods.
Important constraints:
- Z-Insights only supports historical data with a 24-48 hour processing delay
- Time ranges must be exactly 7 or 14 days (the API enforces this)
- Use
start_days_ago/end_days_ago(recommended) or epoch milliseconds - Set
end_days_agoto at least 2 to ensure data availability
Workflow
Follow this 5-step process to analyze web traffic.
Step 1: Understand the Analysis Request
Gather from the analyst:
- What aspect of traffic? (volume, locations, protocols, threats, DLP)
- What time period? (past week = 7 days, past two weeks = 14 days)
- Measurement unit? (TRANSACTIONS for request counts, BYTES for bandwidth)
- Any specific filters? (DLP engine, allow/block actions)
- Need trend data? (daily or hourly granularity)
Step 2: Analyze Traffic by Location
Get web traffic distribution across locations:
zins_get_web_traffic_by_location(
start_days_ago=9,
end_days_ago=2,
traffic_unit="TRANSACTIONS",
limit=20
)
```text
This identifies which offices, branches, or regions generate the most web traffic. Look for:
- Top traffic-generating locations (potential bandwidth bottlenecks)
- Unusual traffic spikes at specific locations
- Remote vs office traffic distribution
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 · 314 lines · 91 tokens per session scan A b4fd88b65bbc
zins-analyze-web-traffic is a skill published in the GitHub repository zscaler/zscaler-mcp-server (50 stars, last pushed 3d ago), licensed MIT. It adds 91 tokens to every session and 2,213 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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