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 znlgis/opengis-skills --skill geopandasgit clone --depth 1 https://github.com/znlgis/opengis-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/znlgis/opengis-skills/geopandas)<a href="https://agentmods.dev/skills/znlgis/opengis-skills/geopandas"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/geopandas/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/znlgis/opengis-skills/geopandas"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/geopandas.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 | $0.00049 | $0.04223 |
| Opus 5 | $0.00024 | $0.02112 |
| Sonnet 5 | $0.00010 | $0.00845 |
| Haiku 4.5 | $0.00005 | $0.00422 |
Grade A, and why
geopandas 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 2d 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 — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.
项目地址： https://github.com/geopandas/geopandas
官方文档： https://geopandas.readthedocs.io
许可证： BSD-3-Clause
概述
GeoPandas 是 Python 地理空间矢量数据处理的核心库，在 pandas DataFrame 基础上扩展了几何列支持。核心类 GeoDataFrame（继承 pandas.DataFrame）和 GeoSeries（继承 pandas.Series）通过 Shapely 提供几何运算、通过 pyproj 提供坐标系管理、通过 pyogrio/fiona 提供文件 IO。
依赖关系
| 核心依赖 | 最低版本 | 用途 |
|---|---|---|
pandas |
>= 2.0.0 | DataFrame 基类 |
shapely |
>= 2.0.0 | 几何对象与运算 (GEOS) |
pyproj |
>= 3.5.0 | CRS 处理与坐标变换 |
pyogrio |
>= 0.7.2 | 默认文件 IO 引擎 (GDAL/OGR) |
numpy |
>= 1.24 | 数组运算 |
| 可选依赖 | 用途 |
|---|---|
matplotlib >= 3.5 |
静态地图绘制 .plot() |
folium |
交互式地图 .explore() |
mapclassify >= 2.7 |
分级设色分类方案 |
fiona >= 1.8.21 |
备选文件 IO 引擎 |
pyarrow >= 15.0.0 |
Parquet/Feather/Arrow 支持 |
geopy |
地理编码 |
SQLAlchemy >= 2.0 + GeoAlchemy2 |
PostGIS 读写 |
xyzservices |
瓦片底图服务 |
全局配置
import geopandas as gpd
gpd.options.display_precision # int|None, WKT 小数位数 (0-16)
gpd.options.io_engine # None|"pyogrio"|"fiona"
核心类（GeoSeries/GeoDataFrame）完整 API 参考见 reference/core-api.md
IO 模块
文件读写
gpd.read_file(filename, bbox=None, mask=None, columns=None, rows=None, engine=None, **kwargs)
gdf.to_file(filename, driver=None, schema=None, index=None, **kwargs)
gpd.list_layers(filename) # → DataFrame (layer_name, geometry_type)
支持的文件格式（扩展名 → 驱动）：
| 扩展名 | 驱动 |
|---|---|
.shp |
ESRI Shapefile |
.json, .geojson |
GeoJSON |
.geojsonl, .geojsons |
GeoJSONSeq |
.gpkg |
GPKG (GeoPackage) |
.gml, .xml |
GML |
.gpx |
GPX |
.csv |
CSV |
.fgb |
FlatGeobuf |
.dxf |
DXF |
.tab, .mif, .mid |
MapInfo File |
引擎选项："pyogrio"（默认）或 "fiona"。支持所有 GDAL/OGR 驱动。
GeoParquet / Feather
gpd.read_parquet(path, columns=None, storage_options=None, bbox=None, **kwargs)
gpd.read_feather(path, columns=None, **kwargs)
gdf.to_parquet(path, compression="snappy", geometry_encoding="WKB",
write_covering_bbox=False, schema_version=None, **kwargs)
gdf.to_feather(path, compression=None, schema_version=None, **kwargs)
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.
- 2d ago Changed 434b9932d0f2
- 8d ago Changed · -213 lines 40c2ee571be4
- 12d ago First seen · 594 lines · 49 tokens per session scan A c92c6c845519
geopandas is a skill published in the GitHub repository znlgis/opengis-skills (61 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 4,223 once invoked, about $0.0002 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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