SkillsBench is a benchmark for measuring how effectively AI agents use modular skills—folders containing instructions, scripts, and resources—to complete specialized tasks. It helps researchers and developers evaluate both skill quality and agent behavior, including tasks that require combining multiple skills. The catalogue’s skills and instructions are evaluated as part of this workflow.
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 benchflow-ai/skillsbench --skill obspy-datacenter-clientgit clone --depth 1 https://github.com/benchflow-ai/skillsbenchWrote 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/benchflow-ai/skillsbench/obspy-datacenter-client)<a href="https://agentmods.dev/skills/benchflow-ai/skillsbench/obspy-datacenter-client"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/obspy-datacenter-client/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/benchflow-ai/skillsbench/obspy-datacenter-client"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/obspy-datacenter-client.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00066 | $0.01059 |
| Opus 5 | $0.00033 | $0.00530 |
| Sonnet 5 | $0.00013 | $0.00212 |
| Haiku 4.5 | $0.00007 | $0.00106 |
Grade A, and why
obspy-datacenter-client 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- obspy-datacenter-client — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Retrieving Data from Data Centers
The most common use case is likely to download waveforms and event/station meta information. In almost all cases you will want to use the obspy.clients.fdsn module for this. It supports the largest number of data centers and uses the most modern data formats. There are still a number of reasons to choose a different module but please make sure you have one.
Read obspy-client-fdsn.md for usage of the FDSN client API.
The FDSN Web Services
Basic FDSN Web Services
| Available Data Types | Format |
|---|---|
| Waveforms | MiniSEED and optionally others |
| Station Information | StationXML and Text |
| Event Information | QuakeML and Text |
Note: Not all data providers offer all three data types. Many offer only one or two.
If you want to requests waveforms, or station/event meta information you will most likely want to use the obspy.clients.fdsn module. It is able to request data from any data center implementing the FDSN web service definitions. Example data centers include IRIS/ORFEUS/INGV/ETH/GFZ/RESIF/… - a curated list can be found here. As a further advantage it returns data in the most modern and future proof formats.
FDSN Routing Web Services
If you don't know which data center has what data, use one of the routing services. ObsPy has support for two of them:
i. The IRIS Federator. ii. The EIDAWS Routing Service.
FDSN Mass Downloader
If you want to download a lot of data across a number of data centers, ObsPy's mass (or batch) downloader is for you. You can formulate your queries for example in terms of geographical domains and ObsPy will download waveforms and corresponding station meta information to produce complete data sets, ready for research, including some basic quality control.
What ships with it
1 file 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.
- 9d ago First seen · 88 lines · 66 tokens per session scan A e17630a6c637
obspy-datacenter-client is a skill published in the GitHub repository benchflow-ai/skillsbench (1,764 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 66 tokens to every session and 1,059 once invoked, about $0.0003 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 2026-09-03.
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