A Python framework for geophysical modelling and inversion, where measurements are used to estimate underground properties. It supports electrical resistivity, seismic refraction, induced polarization, ground-penetrating radar, and finite-element meshes.

Use it to load and display survey data, run electrical-resistivity or seismic-refraction inversions, create meshes, and work with other listed geophysical methods.

It helps turn field measurements into underground models and visual results rather than leaving them as raw readings.

pygimli — Skill for Claude Code and Codex by SteadfastAsArt

Install

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.

Any agent

npx skills add SteadfastAsArt/geoscience-skills --skill pygimli

Clone the repo

git clone --depth 1 https://github.com/SteadfastAsArt/geoscience-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin pygimli — /plugin install pygimli after adding the marketplace above.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/pygimli/github.svg)](https://agentmods.dev/skills/steadfastasart/geoscience-skills/pygimli)

Your own site

<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/pygimli"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/pygimli/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/pygimli"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/pygimli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,385 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00115	$0.01385
Opus 5	$0.00057	$0.00692
Sonnet 5	$0.00023	$0.00277
Haiku 4.5	$0.00012	$0.00138

Measured 10d ago against content hash a08ffaadc556, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

pygimli 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/ert_inversion.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

pygimli/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pyGIMLi - Geophysical Inversion

Quick Reference

import pygimli as pg
from pygimli.physics import ert, srt

# Load ERT data
data = ert.load("survey.ohm")

# Invert
mgr = ert.ERTManager(data)
model = mgr.invert(lam=20, verbose=True)

# View result
mgr.showResult()

Key Classes

Class	Purpose
`pg.Mesh`	Finite element meshes
`pg.DataContainer`	Survey data and geometry
`pg.Inversion`	Base inversion framework
`ert.ERTManager`	ERT processing and inversion
`srt.SRTManager`	Seismic refraction inversion

Essential Operations

Load and View ERT Data

import pygimli as pg
from pygimli.physics import ert

data = ert.load("survey.ohm")
print(f"Measurements: {data.size()}")
ert.showData(data)  # Pseudosection

ERT Inversion

from pygimli.physics import ert

mgr = ert.ERTManager(data)
model = mgr.invert(
    lam=20,          # Regularization
    verbose=True
)
mgr.showResult()
resistivity = mgr.model

Seismic Refraction

from pygimli.physics import srt

data = srt.load("traveltimes.sgt")
mgr = srt.SRTManager(data)
model = mgr.invert(lam=30, zWeight=0.3)
mgr.showResult()

Create Custom Mesh

import pygimli as pg
from pygimli.physics import ert

data = ert.load("survey.ohm")
mesh = pg.meshtools.createParaMesh(
    data.sensors(),
    quality=34.0,
    paraMaxCellSize=5,
    boundary=2
)
pg.show(mesh)

Save and Export

# Save mesh and model
mgr.mesh.save("result_mesh.bms")
pg.save(model, "resistivity_model.vector")

# Export to VTK for ParaView
mgr.mesh.exportVTK("result", mgr.model)

Array Types

Code	Array
`wa`	Wenner-alpha
`wb`	Wenner-beta
`dd`	Dipole-dipole
`pd`	Pole-dipole
`pp`	Pole-pole
`slm`	Schlumberger
`gr`	Gradient

Data Formats

Format	Extension	Description
BERT/pyGIMLi	.ohm	Unified data format
Syscal	.txt	IRIS export
Res2DInv	.dat	2D inversion format
ABEM	.ohm	ABEM Terrameter
SRT	.sgt	Seismic traveltimes

Read the full file on GitHub · 178 lines

Files

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.

Changes

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 · 178 lines · 115 tokens per session scan A a08ffaadc556

Subscribe to this mod's changes

pygimli is a skill published in the GitHub repository SteadfastAsArt/geoscience-skills (57 stars, last pushed 5mo ago), licensed MIT. It adds 115 tokens to every session and 1,385 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 2026-08-30.

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