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 brugesgit 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/bruges)<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/bruges"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/bruges/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/bruges"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/bruges.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 | $0.00111 | $0.01967 |
| Opus 5 | $0.00056 | $0.00983 |
| Sonnet 5 | $0.00022 | $0.00393 |
| Haiku 4.5 | $0.00011 | $0.00197 |
Grade A, and why
bruges 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.
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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bruges - Geophysics Equations
Quick Reference
import bruges
import numpy as np
# AVO - Zoeppritz reflectivity
from bruges.reflection import zoeppritz
theta = np.arange(0, 45, 1)
Rpp = zoeppritz(vp1, vs1, rho1, vp2, vs2, rho2, theta)
# Wavelet - Ricker
from bruges.filters import ricker
t, w = ricker(duration=0.128, dt=0.001, f=25)
# Fluid substitution
from bruges.rockphysics import gassmann
vp_new, vs_new, rho_new = gassmann(vp, vs, rho, k_min, rho_min,
k_fl1, rho_fl1, k_fl2, rho_fl2, phi)
Module Overview
| Module | Purpose |
|---|---|
bruges.reflection |
Zoeppritz, Shuey, Aki-Richards AVO equations |
bruges.rockphysics |
Gassmann, Gardner, Castagna, elastic moduli |
bruges.filters |
Ricker, Ormsby wavelets, convolution |
AVO Analysis
from bruges.reflection import zoeppritz, shuey, akirichards
theta = np.arange(0, 45, 1) # degrees
Rpp = zoeppritz(vp1, vs1, rho1, vp2, vs2, rho2, theta) # Exact
Rpp = shuey(vp1, vs1, rho1, vp2, vs2, rho2, theta) # Fast (~30 deg)
Rpp, G = akirichards(vp1, vs1, rho1, vp2, vs2, rho2, theta, return_gradient=True)
Fluid Substitution
from bruges.rockphysics import gassmann
vp_new, vs_new, rho_new = gassmann(
vp_sat, vs_sat, rho_sat, # Original saturated rock
k_min, rho_min, # Mineral (quartz: 37 GPa, 2.65 g/cc)
k_fl1, rho_fl1, # Original fluid (brine: 2.5 GPa, 1.05 g/cc)
k_fl2, rho_fl2, # New fluid (oil: 0.9 GPa, 0.8 g/cc)
phi # Porosity
)
Wavelets
from bruges.filters import ricker, ormsby
# Ricker (single frequency)
t, wavelet = ricker(duration=0.128, dt=0.001, f=25)
# Ormsby (bandpass: low cut, low pass, high pass, high cut)
t, wavelet = ormsby(duration=0.128, dt=0.001, f=[5, 10, 50, 60])
Synthetic Seismogram
from bruges.filters import ricker
from scipy.signal import convolve
rc = np.diff(impedance) / (impedance[:-1] + impedance[1:]) # Reflectivity
_, wavelet = ricker(0.128, 0.001, 30)
synthetic = convolve(rc, wavelet, mode='same')
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.
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 · 190 lines · 111 tokens per session scan A 93ebd82b41a0
bruges is a skill published in the GitHub repository SteadfastAsArt/geoscience-skills (58 stars, last pushed 5mo ago), licensed MIT. It adds 111 tokens to every session and 1,967 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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