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 segyiogit 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/segyio)<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/segyio"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/segyio/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/segyio"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/segyio.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 | $0.00116 | $0.01674 |
| Opus 5 | $0.00058 | $0.00837 |
| Sonnet 5 | $0.00023 | $0.00335 |
| Haiku 4.5 | $0.00012 | $0.00167 |
Grade A, and why
segyio 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 11d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
segyio - SEG-Y Seismic Data
Quick Reference
import segyio
# Read
with segyio.open('seismic.sgy', 'r') as f:
print(f.tracecount, len(f.samples))
trace0 = f.trace[0] # Single trace as numpy array
data = segyio.tools.collect(f.trace[:]) # All traces
# 3D access (specify inline/xline byte locations)
with segyio.open('seismic.sgy', 'r', iline=189, xline=193) as f:
inline_100 = f.iline[100] # 2D array (xlines x samples)
cube = segyio.tools.cube(f) # Full 3D cube
# Write
spec = segyio.spec()
spec.samples = samples
spec.tracecount = n_traces
with segyio.create('output.sgy', spec) as f:
f.trace[0] = data
Key Access Modes
| Mode | Description |
|---|---|
f.trace[i] |
Sequential trace access by index |
f.header[i] |
Trace header access (dict-like) |
f.iline[n] |
Inline slice (3D surveys) |
f.xline[n] |
Crossline slice (3D surveys) |
f.depth_slice[n] |
Horizontal time/depth slice |
f.text[0] |
Text header (3200 bytes) |
f.bin |
Binary header |
Essential Operations
Open and Inspect
with segyio.open('seismic.sgy', 'r') as f:
print(f"Traces: {f.tracecount}")
print(f"Samples: {len(f.samples)}")
print(f"Sample interval: {f.samples[1] - f.samples[0]} ms")
if f.ilines is not None:
print(f"Inlines: {f.ilines}")
print(f"Crosslines: {f.xlines}")
Read Trace Headers
with segyio.open('seismic.sgy', 'r') as f:
header = f.header[0]
print(header[segyio.TraceField.INLINE_3D])
print(header[segyio.TraceField.CDP_X])
# Get all values for one field
inlines = f.attributes(segyio.TraceField.INLINE_3D)[:]
Read 3D Data
with segyio.open('seismic.sgy', 'r', iline=189, xline=193) as f:
inline_data = f.iline[100] # Shape: (n_xlines, n_samples)
xline_data = f.xline[200] # Shape: (n_ilines, n_samples)
time_slice = f.depth_slice[250] # Shape: (n_ilines, n_xlines)
cube = segyio.tools.cube(f) # Shape: (ilines, xlines, samples)
What ships with it
4 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.
- 11d ago First seen · 177 lines · 116 tokens per session scan A 61e3619a15a9
segyio is a skill published in the GitHub repository SteadfastAsArt/geoscience-skills (58 stars, last pushed 5mo ago), licensed MIT. It adds 116 tokens to every session and 1,674 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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