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 obspygit 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/obspy)<a href="https://agentmods.dev/skills/steadfastasart/geoscience-skills/obspy"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/obspy/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/obspy"><img src="https://agentmods.dev/badge/skills/steadfastasart/geoscience-skills/obspy.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 | $0.00130 | $0.01553 |
| Opus 5 | $0.00065 | $0.00776 |
| Sonnet 5 | $0.00026 | $0.00311 |
| Haiku 4.5 | $0.00013 | $0.00155 |
Grade A, and why
obspy 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ObsPy - Seismology Data Processing
Quick Reference
from obspy import read, UTCDateTime
from obspy.clients.fdsn import Client
# Read local file (MiniSEED, SAC, etc.)
st = read("data.mseed")
tr = st[0] # First trace
print(tr.stats) # Metadata
# Fetch from FDSN
client = Client("IRIS")
t = UTCDateTime("2023-02-06T01:17:00")
st = client.get_waveforms("IU", "ANMO", "00", "LHZ", t, t + 3600)
st.plot()
Key Classes
| Class | Purpose |
|---|---|
Stream |
Container for multiple Trace objects |
Trace |
Single waveform with data + metadata |
UTCDateTime |
Precise time handling |
Inventory |
Station/channel metadata |
Catalog |
Earthquake event information |
Essential Operations
Read and Inspect
st = read("data.mseed") # Auto-detect format
tr = st[0]
print(tr.stats.station, tr.stats.channel, tr.stats.sampling_rate)
Filter and Process
st.detrend("demean") # Remove mean
st.detrend("linear") # Remove trend
st.taper(max_percentage=0.05) # Taper edges
st.filter("bandpass", freqmin=0.1, freqmax=10.0)
Fetch Waveforms from FDSN
client = Client("IRIS")
t1 = UTCDateTime("2023-02-06T01:17:00")
st = client.get_waveforms("IU", "ANMO", "00", "LHZ", t1, t1 + 3600)
st.write("output.mseed", format="MSEED")
Search Earthquakes
client = Client("USGS")
cat = client.get_events(
starttime=UTCDateTime("2023-01-01"),
endtime=UTCDateTime("2023-12-31"),
minmagnitude=7.0
)
event = cat[0]
print(f"M{event.magnitudes[0].mag} at {event.origins[0].latitude}")
Get Station Metadata
inv = client.get_stations(
network="IU", station="ANMO",
level="response" # Required for response removal
)
Remove Instrument Response
st = client.get_waveforms("IU", "ANMO", "00", "LHZ", t, t + 3600)
inv = client.get_stations(network="IU", station="ANMO", level="response")
st.remove_response(inventory=inv, output="VEL") # VEL, DISP, or ACC
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.
- 10d ago First seen · 181 lines · 130 tokens per session scan A 0d6a6b072bc6
obspy is a skill published in the GitHub repository SteadfastAsArt/geoscience-skills (57 stars, last pushed 5mo ago), licensed MIT. It adds 130 tokens to every session and 1,553 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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