Borrowing it
Nothing to install: this file belongs to SCStelz/security-investigator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SCStelz/security-investigator/main/.github/skills/geomap-visualization/SKILL.mdgit clone --depth 1 https://github.com/SCStelz/security-investigatorWrote 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/scstelz/security-investigator/geomap-visualization)<a href="https://agentmods.dev/skills/scstelz/security-investigator/geomap-visualization"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/geomap-visualization/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/scstelz/security-investigator/geomap-visualization"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/geomap-visualization.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 | $0.00080 | $0.08203 |
| Opus 5 | $0.00040 | $0.04102 |
| Sonnet 5 | $0.00016 | $0.01641 |
| Haiku 4.5 | $0.00008 | $0.00820 |
Grade A, and why
geomap-visualization 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 10d 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 — 923 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Geomap Visualization Skill
Purpose
Generate interactive world map visualizations from Microsoft Sentinel data using the Sentinel Geomap MCP App. Geomaps display markers on a world map with coordinates, ideal for visualizing attack origins, geographic distribution of threats, or location-based security data.
📑 TABLE OF CONTENTS
- Quick Start - Minimal example to get started
- MCP Tool Reference - Parameters and schemas
- Data Sources - Tables with native vs enriched geolocation
- KQL Query Patterns - Ready-to-use queries by scenario
- Enrichment Integration - Adding threat intel drill-down
- Examples - End-to-end workflows
- Follow-Up Investigation Queries - Queries for selected IPs
- Interactive Selection Feature - Multi-select and chat integration
Quick Start
Minimal Geomap (3 Steps)
# 1. Query Sentinel for data with coordinates
mcp_sentinel-data_query_lake({
"query": "W3CIISLog | where TimeGenerated > ago(7d) | where scStatus == '401' | summarize value = count(), lat = take_any(RemoteIPLatitude), lon = take_any(RemoteIPLongitude) by ip = cIP | where lat != 0 | project ip, lat, lon, value"
})
# 2. Display geomap
mcp_sentinel-geom_show-attack-map({
"data": [<query results>],
"title": "Attack Origins (Last 7 Days)",
"valueLabel": "Failed Logins",
"colorScale": "blue-red"
})
MCP Tool Reference
Tool: mcp_sentinel-geom_show-attack-map
| Parameter | Required | Type | Description |
|---|---|---|---|
data |
✅ | array | Array of {ip, lat, lon, value} objects |
title |
❌ | string | Title displayed above map (default: "Attack Origin Map") |
valueLabel |
❌ | string | Label for values (default: "Attacks") |
colorScale |
❌ | string | blue-red (threats), green-red, or blue-yellow |
enrichment |
❌ | array | IP enrichment data for click-to-expand panels |
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.
- 10d ago First seen · 923 lines · 80 tokens per session scan A 91896ac3da50
geomap-visualization is a skill published in the GitHub repository SCStelz/security-investigator (245 stars, last pushed 2d ago), licensed MIT. It adds 80 tokens to every session and 8,203 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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