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 SteadfastAsArt/geoscience-skills --skill gemgisgit clone --depth 1 https://github.com/SteadfastAsArt/geoscience-skillsWrote 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/steadfastasart/geoscience-skills/gemgis)<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/gemgis"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/gemgis/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/steadfastasart/geoscience-skills/gemgis"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/gemgis.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00102 | $0.01522 |
| Opus 5 | $0.00051 | $0.00761 |
| Sonnet 5 | $0.00020 | $0.00304 |
| Haiku 4.5 | $0.00010 | $0.00152 |
Grade A, and why
gemgis 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 9d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GemGIS - Geospatial Data for Geological Modelling
Quick Reference
import gemgis as gg
import geopandas as gpd
# Load vector data
gdf = gpd.read_file('geology.shp')
# Extract XYZ from geometry with elevation from DEM
interfaces = gg.vector.extract_xyz(gdf=gdf, dem='dem.tif')
# Define model extent
extent = [x_min, x_max, y_min, y_max]
# Clip to extent
gdf_clipped = gg.vector.clip_by_extent(gdf=gdf, extent=extent)
Key Modules
| Module | Purpose |
|---|---|
gemgis.vector |
Vector data processing, XYZ extraction |
gemgis.raster |
Raster/DEM processing, sampling, interpolation |
gemgis.utils |
Utility functions, extent management |
gemgis.postprocessing |
Model postprocessing |
Essential Operations
Extract Interface Points
contacts = gpd.read_file('contacts.shp')
interfaces = gg.vector.extract_xyz(gdf=contacts, dem='dem.tif')
interfaces['formation'] = contacts['formation']
# Returns DataFrame with X, Y, Z, formation columns
Extract Orientations
measurements = gpd.read_file('structural_measurements.shp')
orientations = gg.vector.extract_xyz(gdf=measurements, dem='dem.tif')
orientations['dip'] = measurements['dip']
orientations['azimuth'] = measurements['strike'] + 90 # strike to dip direction
orientations['formation'] = measurements['formation']
Sample DEM Along Profile
profile = gg.raster.sample_from_raster(
raster='dem.tif',
line=[(500000, 5600000), (510000, 5605000)],
n_samples=100
)
# Returns dict with 'distance' and 'Z' arrays
Define Model Extent
# From coordinates
extent = gg.utils.set_extent(
x_min=500000, x_max=510000,
y_min=5600000, y_max=5610000
)
# From GeoDataFrame bounds
extent = gg.utils.set_extent_from_bounds(gdf)
Clip Data to Extent
from shapely.geometry import box
extent_poly = box(500000, 5600000, 510000, 5610000)
gdf_clipped = gdf.clip(extent_poly)
# Or using gemgis
gdf_clipped = gg.vector.clip_by_extent(
gdf=gdf,
extent=[500000, 510000, 5600000, 5610000]
)
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 177 lines · 102 tokens per session scan A f1e634bced9d
gemgis is a skill published in the GitHub repository SteadfastAsArt/geoscience-skills (57 stars, last pushed 5mo ago), licensed MIT. It adds 102 tokens to every session and 1,522 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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