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 xjtulyc/awesome-rosetta-skills --skill hydrology-pyshedsgit clone --depth 1 https://github.com/xjtulyc/awesome-rosetta-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/xjtulyc/awesome-rosetta-skills/hydrology-pysheds)<a href="https://agentmods.dev/skills/xjtulyc/awesome-rosetta-skills/hydrology-pysheds"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/hydrology-pysheds/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/xjtulyc/awesome-rosetta-skills/hydrology-pysheds"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/hydrology-pysheds.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 | $0.00037 | $0.04108 |
| Opus 5.5 | $0.00015 | $0.01643 |
| Sonnet 5.5 | $0.00007 | $0.00822 |
| Haiku 4.5 | $0.00004 | $0.00411 |
Grade A, and why
hydrology-pysheds 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 2mo 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 2mo ago First seen · 491 lines · 37 tokens per session scan A ae13000139e8
hydrology-pysheds is a skill published in the GitHub repository xjtulyc/awesome-rosetta-skills (35 stars, last pushed 6mo ago), with no licence file. It adds 37 tokens to every session and 4,108 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
whitebox-tools
Use when doing advanced raster, terrain or LiDAR geoprocessing with WhiteboxTools v2.4.0 — whiteboxtools --run=Slope/FillDepressions/BreachDepressions/FlowAccumulationFullWorkflow/Watershed/ExtractStreams, lidar tools for LAS point clouds, or the whitebox (whitebox-python 2.3.6) WhiteboxTools wrapper in Python. Also…
pdal
Use when processing point cloud data (LAS/LAZ/BPF/EPT/COPC) via CLI or Python — pipeline JSON workflows, format conversion, reprojection, cropping, outlier removal, ground classification (SMRF), and DEM generation from LiDAR. PDAL (Point Data Abstraction Library) is the point cloud equivalent of GDAL: pdal…
paper-agent
Full academic manuscript skill for quantitative-science papers, with journal profiles for Hydrogeology Journal, Journal of Hydrology Regional Studies, Journal of Hydrology, Water Resources Research, HESS, Groundwater, Engineering Geology, IEEE TIM, JMBE, and Physiological Measurement, plus a field-agnostic generic…
usgs-water-guide
Gates and workflows for the water tools over USGS stream gages and groundwater wells. Covers whether a river or aquifer is high or low right now, telling live gages from discontinued ones, reading depth-to-water rankings (they run inverted), finding the parameter code a site actually reports, time zones and data lag…
mike-end-to-end
Standard operating procedure for an auditable, headless MIKE+ workflow via the mike-plus MCP server — how to plan, copy, run, QA-gate, compare, plot, audit, and safely stop. Use FIRST whenever an agent is handed a MIKE+ model (.sqlite) or result (.res1d) plus a plain-language goal; it picks the operating mode and…
mike-plot
Produce publication-style figures from MIKE+ .res1d results via the mike-plus MCP server — a stacked rainfall-runoff hydrograph, a single time series, a network map, a baseline-vs-scenario overlay, or a longitudinal profile (bed / crown / ground / max water level along a pipe string), in the house style (Arial 12…