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 agentmods add skills/cxcscmu/skilllearnbench/plate-tectonics-geospatialnpx skills add cxcscmu/SkillLearnBench --skill plate-tectonics-geospatialgit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/plate-tectonics-geospatial)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/plate-tectonics-geospatial"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/plate-tectonics-geospatial.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00028 | $0.01138 |
| Opus 5 | $0.00014 | $0.00569 |
| Sonnet 5 | $0.00006 | $0.00228 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
plate-tectonics-geospatial 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 6d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plate Tectonics Geospatial Analysis
Overview
The PB2002 (Plate Boundaries 2002) dataset provides comprehensive data on tectonic plate boundaries and plate definitions. This skill covers loading, processing, and spatial analysis of plate data.
PB2002 Dataset Structure
Boundary Data (PB2002_boundaries.json)
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [[lon1, lat1], [lon2, lat2], ...]
},
"properties": {
"PLATE1": "Pacific",
"PLATE2": "North American",
"TYPE": "subduction zone", // or "transform", "spreading", etc.
"STEPOVER": ""
}
}
]
}
Plate Data (PB2002_plates.json)
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "MultiPolygon", // or Polygon
"coordinates": [...]
},
"properties": {
"PlateName": "Pacific",
"PlateID": 101
}
}
]
}
Loading and Processing
Load Plate Boundaries
import geopandas as gpd
import json
with open('/root/PB2002_boundaries.json', 'r') as f:
boundaries_geojson = json.load(f)
boundaries_gdf = gpd.GeoDataFrame.from_features(
boundaries_geojson['features'],
crs='EPSG:4326'
)
# Filter for specific plate boundary
pacific_boundaries = boundaries_gdf[
(boundaries_gdf['PLATE1'] == 'Pacific') |
(boundaries_gdf['PLATE2'] == 'Pacific')
]
Load Plate Polygons
with open('/root/PB2002_plates.json', 'r') as f:
plates_geojson = json.load(f)
plates_gdf = gpd.GeoDataFrame.from_features(
plates_geojson['features'],
crs='EPSG:4326'
)
# Get Pacific plate polygon
pacific_plate = plates_gdf[plates_gdf['PlateName'] == 'Pacific']
Spatial Operations
Identify Points Within Plate
# Use spatial join to find earthquakes within Pacific plate
earthquakes_in_pacific = gpd.sjoin(
earthquakes_gdf,
pacific_plate,
how='inner',
predicate='within'
)
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.
- 6d ago First seen · 169 lines · 28 tokens per session scan A 31985e72028f
plate-tectonics-geospatial is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 1,138 once invoked, about $0.0001 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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