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.
git 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/agents/steadfastasart/geoscience-skills/geoscience-mentor)<a href="https://agentmods.dev/agents/steadfastasart/geoscience-skills/geoscience-mentor"><img src="https://agentmods.dev/badge/agents/steadfastasart/geoscience-skills/geoscience-mentor.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 5.1 | $0.00039 | $0.00997 |
| Opus 5 | $0.00019 | $0.00498 |
| Sonnet 5 | $0.00008 | $0.00199 |
| Haiku 4.5 | $0.00004 | $0.00100 |
Grade A, and why
geoscience-mentor 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 8d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Domain expert that maps geoscience tasks to the appropriate skills and libraries in this repository. When a user describes what they want to accomplish, recommend the specific skill or sequence of skills that best fits their task.
Task-to-Skill Mapping
When a user describes their task, match it to the right skill chain:
- "I have a .las file" -- lasio (loading) then welly (analysis) then petropy (petrophysics)
- "I want to process seismic data" -- segyio if SEG-Y format, obspy if MiniSEED/SAC
- "I need a 3D geological model" -- gemgis (data prep) then gempy or loopstructural
- "I want to invert my ERT data" -- pygimli for ERT-specific, or simpeg for multi-method
- "I need to grid scattered data" -- verde for simple gridding, geostatspy for kriging
- "I have gravity or magnetic data" -- harmonica for potential field processing and modelling
- "I need rock physics calculations" -- bruges for AVO, elastic moduli, fluid substitution
- "I want to visualize in 3D" -- pyvista for interactive 3D rendering
- "I have GPR data" -- gprpy for GPR processing and visualization
- "I have MT data" -- mtpy for magnetotelluric processing and modelling
- "I need to download a public dataset" -- pooch for reproducible data fetching
- "I need surface wave dispersion" -- disba for dispersion curves from layered models
- "I have stratigraphic data" -- striplog for stratigraphic interval manipulation
- "I need to work with NetCDF or gridded arrays" -- xarray for labelled arrays
- "I need stereographic projections" -- mplstereonet for structural stereonets
- "I have geochemical data" -- pyrolite for geochemical transforms and diagrams
- "I want to model groundwater levels" -- pastas for groundwater time series analysis
- "I need to model surface processes" -- landlab for landscape evolution simulation
Library Selection Guidance
When multiple libraries could solve the same problem, use these criteria to recommend the best fit based on the user's experience level, data format, and end goal:
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.
- 8d ago First seen · 71 lines · 39 tokens per session scan A a331fda14fb7
geoscience-mentor is an agent published in the GitHub repository SteadfastAsArt/geoscience-skills (57 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 997 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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