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 pjt222/agent-almanac --skill create-spatial-visualizationgit clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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/pjt222/agent-almanac/create-spatial-visualization)<a href="https://agentmods.dev/skills/pjt222/agent-almanac/create-spatial-visualization"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/create-spatial-visualization.svg" alt="Measured on agentmods" 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 | $0.00111 | $0.02943 |
| Opus 5 | $0.00056 | $0.01471 |
| Sonnet 5 | $0.00022 | $0.00589 |
| Haiku 4.5 | $0.00011 | $0.00294 |
Grade A, and why
create-spatial-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 4d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Spatial Visualization
Create interactive maps, elevation profiles, and spatial visualizations from GPX tracks, waypoints, or route data.
When to Use
- Visualizing a planned or completed tour route on an interactive map
- Creating elevation profiles for hiking or cycling routes
- Overlaying waypoints, POIs, and route corridors on a basemap
- Generating static map images for print reports
- Building a web-based trip dashboard with spatial data
Inputs
- Required: Spatial data source (GPX file, CSV with lat/lon, GeoJSON, or waypoint list)
- Required: Visualization type (interactive map, static map, elevation profile, heatmap)
- Optional: Basemap preference (OpenStreetMap, satellite, terrain, topo)
- Optional: Styling parameters (colors, line width, marker icons)
- Optional: Output format (HTML widget, PNG, SVG, embedded in Quarto)
- Optional: Additional layers (POI markers, area boundaries, distance markers)
Procedure
Step 1: Import Spatial Data
Load and parse the spatial data into a usable format.
R approach (sf package):
# GPX file
track <- sf::st_read("route.gpx", layer = "tracks")
waypoints <- sf::st_read("route.gpx", layer = "waypoints")
# CSV with coordinates
points <- readr::read_csv("stops.csv") |>
sf::st_as_sf(coords = c("lon", "lat"), crs = 4326)
# GeoJSON
route <- sf::st_read("route.geojson")
JavaScript approach (for Observable/D3):
// GPX parsing
const gpxText = await FileAttachment("route.gpx").text();
const parser = new DOMParser();
const gpxDoc = parser.parseFromString(gpxText, "text/xml");
// Extract track points
const trkpts = gpxDoc.querySelectorAll("trkpt");
const coordinates = Array.from(trkpts).map(pt => ({
lat: +pt.getAttribute("lat"),
lon: +pt.getAttribute("lon"),
ele: +pt.querySelector("ele")?.textContent || 0
}));
Verify the coordinate reference system (CRS) is WGS 84 (EPSG:4326) for web maps.
Got: Spatial data loaded as an sf object (R) or coordinate array (JS) with valid geometries. Point counts match expected input (e.g., a GPX track has hundreds to thousands of points).
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.
- 4d ago First seen · 270 lines · 111 tokens per session scan A 0be8ddcff7f5
create-spatial-visualization is a skill published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed today), licensed MIT. It adds 111 tokens to every session and 2,943 once invoked, about $0.0006 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 2026-09-03.
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