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 gempygit 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/gempy)<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/gempy"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/gempy/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/gempy"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/gempy.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 | $0.00117 | $0.01664 |
| Opus 5.5 | $0.00047 | $0.00666 |
| Sonnet 5.5 | $0.00023 | $0.00333 |
| Haiku 4.5 | $0.00012 | $0.00166 |
Grade A, and why
gempy 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 1mo 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GemPy - 3D Geological Modelling
Quick Reference
import gempy as gp
# Create model
geo_model = gp.create_geomodel(
project_name='Model',
extent=[0, 1000, 0, 1000, 0, 500], # [xmin, xmax, ymin, ymax, zmin, zmax]
resolution=[50, 50, 25]
)
# Add surface points and orientations
gp.add_surface_points(geo_model, x=[100, 500, 900], y=[500, 500, 500],
z=[400, 350, 400], surface='TopFormation')
gp.add_orientations(geo_model, x=[500], y=[500], z=[375],
pole_vector=[0, 0, 1], surface='TopFormation')
# Compute and visualize
gp.set_interpolator(geo_model)
sol = gp.compute_model(geo_model)
gp.plot_2d(geo_model, cell_number=[25], direction='y')
Key Classes
| Class | Purpose |
|---|---|
GeoModel |
Main container - holds all model data |
StructuralFrame |
Manages geological relationships |
Grid |
Computation mesh for interpolation |
Solutions |
Model results (lithology, scalar fields) |
Essential Operations
Define Geological Relationships
gp.map_stack_to_surfaces(geo_model, mapping={
'Strata1': ['TopFormation', 'BaseFormation'],
'Basement': ['Basement']
})
geo_model.structural_frame.structural_groups[0].structural_relation = \
gp.data.StackRelationType.ERODE
Add Faults
gp.add_surface_points(geo_model, x=[300, 300, 300], y=[200, 500, 800],
z=[100, 250, 400], surface='Fault1')
gp.add_orientations(geo_model, x=[300], y=[500], z=[250],
pole_vector=[1, 0, 0.5], surface='Fault1')
gp.map_stack_to_surfaces(geo_model, mapping={
'Fault_Series': ['Fault1'],
'Strata1': ['Layer1', 'Layer2'],
})
geo_model.structural_frame.structural_groups[0].structural_relation = \
gp.data.StackRelationType.FAULT
Load Data from Files
import pandas as pd
points_df = pd.read_csv('surface_points.csv') # Columns: X, Y, Z, surface
gp.add_surface_points(geo_model, x=points_df['X'], y=points_df['Y'],
z=points_df['Z'], surface=points_df['surface'])
ori_df = pd.read_csv('orientations.csv') # Columns: X, Y, Z, dip, azimuth, surface
gp.add_orientations(geo_model, x=ori_df['X'], y=ori_df['Y'], z=ori_df['Z'],
dip=ori_df['dip'], azimuth=ori_df['azimuth'],
surface=ori_df['surface'])
What ships with it
5 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.
- 1mo ago Changed · +2 lines · +1 tokens per session 22ccb76a33e4
- 2mo ago First seen · 168 lines · 116 tokens per session scan A 2b7ace80eeca
gempy is a skill published in the GitHub repository SteadfastAsArt/geoscience-skills (73 stars, last pushed 1mo ago), licensed MIT. It adds 117 tokens to every session and 1,664 once invoked, about $0.0005 per session on Opus 5.5. 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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