What is inversion-workflow?

A guided process for geophysical inversion, a method of estimating underground properties from measurements collected in surveys. It selects tools and steps for survey types such as electrical resistivity, magnetic, gravity, electromagnetic, and seismic surveys, then supports gridding and 3D display of results.

Use it to process survey data, build calculation meshes, run geophysical inversions, grid scattered results, and render 3D underground models.

It helps choose a suitable calculation method for the survey and keeps data loading, model creation, inversion, and visualization in the right order.

inversion-workflow — Command for Claude Code 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.

Clone the repo

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

Made for: Claude Code.

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/commands/steadfastasart/geoscience-skills/inversion-workflow/github.svg)](https://agentmods.dev/commands/steadfastasart/geoscience-skills/inversion-workflow)

Your own site

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

Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 530 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	$0.00014	$0.00530
Opus 5.5	$0.00006	$0.00212
Sonnet 5.5	$0.00003	$0.00106
Haiku 4.5	$0.00001	$0.00053

Measured 2mo ago against content hash d5fc55b5b2eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

inversion-workflow 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 2mo 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.

.claude/commands/inversion-workflow.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Geophysical Inversion Workflow

Guide the user through a geophysical inversion pipeline. Determine the appropriate skill chain based on survey type and inversion goals.

Decision Tree

What survey type?
- Electrical Resistivity Tomography (ERT) → Use pygimli or simpeg skill
- Magnetics / Gravity → Use simpeg skill with harmonica for processing
- Electromagnetic (EM), IP, or multi-physics → Use simpeg skill
- Seismic Refraction Tomography (SRT) → Use pygimli skill
Which framework fits your problem?
- Multi-physics, large-scale, flexible regularization → Use simpeg skill
- Near-surface ERT/SRT, streamlined API → Use pygimli skill
Post-processing and visualization?
- Grid scattered inversion results → Use verde skill
- 3D model rendering → Use pyvista skill

Skill Chain

simpeg (multi-physics inversion)   → verde (gridding results) → pyvista (3D viz)
pygimli (ERT/SRT inversion)        → verde (gridding results) → pyvista (3D viz)
harmonica (gravity/mag processing) → simpeg (inversion)

Step Prompts

For each step, invoke the relevant domain skill and follow its guidance.

Step 1: Data Loading

Load survey data (electrode positions, observations, uncertainties)
Assign data uncertainties (absolute or percentage)
Inspect data quality and remove outliers

Step 2: Mesh Construction

Build appropriate mesh (tensor, tree, or unstructured)
Refine mesh near electrodes or survey points
Set mesh padding for boundary conditions

Step 3: Forward Modelling

Define starting model and physical property mapping
Run forward simulation to verify data fit
Compare predicted vs observed data

Step 4: Inversion

Configure objective function and regularization
Set convergence criteria (target misfit, max iterations)
Run inversion and monitor convergence

Step 5: Post-Processing and Visualization

Extract recovered model on mesh
Grid results to regular grid with verde if needed
Render 3D inversion results with pyvista
Evaluate depth of investigation and model reliability

Read the full file on GitHub · 64 lines

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.

2mo ago First seen · 64 lines · 14 tokens per session scan A d5fc55b5b2eb

Subscribe to this mod's changes

inversion-workflow is a command published in the GitHub repository SteadfastAsArt/geoscience-skills (77 stars, last pushed 4d ago), licensed MIT. It adds 14 tokens to every session and 530 once invoked, about $0.0001 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.

Claude Code Scientific ai-agents geophysics geoscience geostatistics netCDF

inversion-workflow next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
inversion-workflowSteadfastAsArt/geoscience-skills	Command	77	4d ago	MIT	A	14	Claude Code
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specifygithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
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