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 gprpygit 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/gprpy)<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/gprpy"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/gprpy.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 | $0.00125 | $0.01322 |
| Opus 5 | $0.00063 | $0.00661 |
| Sonnet 5 | $0.00025 | $0.00264 |
| Haiku 4.5 | $0.00013 | $0.00132 |
Grade A, and why
gprpy 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPRPy - Ground Penetrating Radar Processing
Quick Reference
import gprpy.gprpy as gp
import matplotlib.pyplot as plt
# Load and display
data = gp.gprpyProfile()
data.importdata('profile.DZT')
data.showProfile()
plt.show()
# Access data
print(f"Traces: {data.data.shape[1]}")
print(f"Samples: {data.data.shape[0]}")
print(f"Time range: {data.twtt.max():.1f} ns")
Supported Formats
| Format | Manufacturer |
|---|---|
| .DZT | GSSI |
| .DT1 | Sensors & Software |
| .GPR | MALA |
| .rd3/.rad | MALA |
| .sgy | SEG-Y |
Essential Operations
Basic Processing
data = gp.gprpyProfile()
data.importdata('profile.DZT')
data.dewow(window=10) # Remove low-frequency drift
data.remMeanTrace(ntraces=50) # Remove background ringing
data.tpowGain(power=1.5) # Time-power gain
data.agcGain(window=25) # Automatic gain control
data.showProfile()
Apply Filters
data.bandpassFilter(minfreq=100, maxfreq=800) # MHz
data.lowpassFilter(maxfreq=500)
data.highpassFilter(minfreq=50)
Time-to-Depth Conversion
velocity = 0.1 # m/ns (typical for dry sand)
data.setVelocity(velocity)
data.showProfile(yrng=[0, 5]) # Top 5 meters
Topographic Correction
data.topoCorrect(topofile='topography.txt', velocity=0.1)
# File format: x_position, elevation
Export Results
data.exportFig('processed.png', dpi=300)
data.exportSEGY('processed.sgy')
data.exportASCII('processed.txt')
Velocity Analysis (CMP)
cmp = gp.gprpyCMP()
cmp.importdata('cmp_survey.DZT')
cmp.showCMP()
cmp.semblance(vmin=0.05, vmax=0.15, vstep=0.01)
cmp.showSemblance()
Processing Parameters
| Parameter | Typical Value | Description |
|---|---|---|
| Dewow window | 5-20 ns | Low-frequency removal window |
| Gain power | 1.0-2.0 | Time-power gain exponent |
| AGC window | 10-50 ns | Automatic gain window |
| Bandpass | 100-800 MHz | Frequency filter range |
What ships with it
2 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.
- 8d ago First seen · 162 lines · 125 tokens per session scan A e7633e9a0627
gprpy is a skill published in the GitHub repository SteadfastAsArt/geoscience-skills (57 stars, last pushed 5mo ago), licensed MIT. It adds 125 tokens to every session and 1,322 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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