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/steadfastasart/geoscience-skills/workflowsnpx skills add SteadfastAsArt/geoscience-skills --skill workflowsgit 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/workflows)<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/workflows"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/workflows.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 | $0.00044 | $0.02190 |
| Opus 5 | $0.00022 | $0.01095 |
| Sonnet 5 | $0.00009 | $0.00438 |
| Haiku 4.5 | $0.00004 | $0.00219 |
Grade A, and why
using-geoscience-skills 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 5d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using Geoscience Skills
Meta-skill for discovering, routing, and composing the geoscience skills library. This skill maps user intent to domain skills, workflow skills, slash commands, and agents.
Domain Routing Table
Match user intent keywords to the appropriate domain skill.
| Keywords / Triggers | Skill | Domain |
|---|---|---|
| SEG-Y, seismic traces, trace headers, inline, crossline | segyio |
Seismic I/O |
| waveform, earthquake, FDSN, seismogram, miniSEED | obspy |
Seismology |
| surface wave, dispersion, Rayleigh, Love wave | disba |
Seismology |
| LAS, well logs, wireline, borehole curves | lasio |
Well Logs |
| DLIS, RP66, array logs, modern well data | dlisio |
Well Logs |
| well analysis, curve QC, multi-well, despike | welly |
Well Logs |
| petrophysics, Sw, porosity, formation evaluation | petropy |
Petrophysics |
| lithology, stratigraphy, striplog, facies log | striplog |
Stratigraphy |
| 3D model, geology, implicit surface, faults | gempy |
3D Modelling |
| fold modelling, structural frame, Loop3D | loopstructural |
3D Modelling |
| GIS, spatial data prep, borehole to GemPy | gemgis |
GIS Preprocessing |
| inversion, DC resistivity, magnetics, gravity, EM | simpeg |
Inversion |
| ERT, SRT, IP, near-surface inversion | pygimli |
Inversion |
| PDE, wave equation, finite differences, stencil | devito |
Simulation |
| linear operator, inverse problem, sparsity | pylops |
Inverse Problems |
| gravity, magnetic, Bouguer, upward continuation | harmonica |
Potential Fields |
| AVO, Zoeppritz, Gassmann, fluid substitution, wavelet | bruges |
Rock Physics |
| gridding, interpolation, spatial, Verde | verde |
Spatial Analysis |
| variogram, kriging, GSLIB, geostatistics | geostatspy |
Geostatistics |
| variogram fitting, scikit-learn style geostat | scikit-gstat |
Geostatistics |
| spatial regression, GWR, GNNWR, non-stationarity, coefficient mapping | gnnwr |
Spatial Regression |
| groundwater, time series, pumping test | pastas |
Hydrology |
| landscape, erosion, surface processes, DEM | landlab |
Surface Processes |
| stereonet, strike, dip, poles, structural | mplstereonet |
Structural Geology |
| geochemistry, REE, spider diagram, ternary | pyrolite |
Geochemistry |
| GPR, ground-penetrating radar, radargram | gprpy |
Near-Surface |
| magnetotellurics, MT, impedance tensor | mtpy |
Near-Surface |
| NetCDF, xarray, multi-dimensional, climate | xarray |
Data Formats |
| 3D visualization, mesh, VTK, point cloud | pyvista |
Visualization |
| data download, sample data, cache, fetch | pooch |
Utilities |
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.
- 5d ago First seen · 205 lines · 44 tokens per session scan A 51a1a7540969
using-geoscience-skills is a skill published in the GitHub repository SteadfastAsArt/geoscience-skills (57 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 2,190 once invoked, about $0.0002 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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