Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/znlgis/opengis-skillsnpx agentmods add skills/znlgis/opengis-skills/gisWrote 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/gis)<a href="https://agentmods.dev/skills/znlgis/opengis-skills/gis"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/gis/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/gis"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/gis.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 | $0.00117 | $0.02913 |
| Opus 5.5 | $0.00047 | $0.01165 |
| Sonnet 5.5 | $0.00023 | $0.00583 |
| Haiku 4.5 | $0.00012 | $0.00291 |
Grade A, and why
gis-skills 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 today.
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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
父级入口： ../SKILL.md — 全仓 114 技能总索引
概述
本分类涵盖 40 个 GIS 开源项目的技能文件，覆盖从底层数据处理到上层地图服务与桌面应用的完整链路：
数据源 → 命令行处理 → 编程分析 → 空间数据库 → 地图服务 → 前端可视化
(GDAL) (GDAL CLI) (JTS/PyQGIS) (PostGIS) (GeoServer) (OpenLayers/Cesium)
何时加载此索引？
- 用户问题涉及「地图」「空间数据」「坐标」「GIS」等关键词
- 不确定具体该用 GDAL、QGIS 还是 PostGIS
- 需要了解 GIS 领域有哪些可选开源工具
技能列表
🧰 数据处理与命令行
| 技能 | 简介 | 关键标签 |
|---|---|---|
| gdal | GDAL 命令行：栅格/矢量处理事实标准 | cli raster vector conversion |
| gdal-api | GDAL/OGR 编程 API（C/C++/Python/.NET） | api python cpp dotnet |
| qgis-process | QGIS 命令行批处理 | cli processing qgis raster |
| geopipe-agent | AI 原生 GIS 数据流水线（YAML 驱动） | agent pipeline yaml qc |
| proj | 坐标转换与投影库（CRS/EPSG，GDAL 底层引擎） | crs reprojection cli epsg |
| grass-gis | 模块化 GIS 栅格/矢量分析套件 | gis raster vector python |
| pdal | 点云数据处理库（LAS/LAZ，点云界 GDAL） | point-cloud lidar pipeline cli |
| whitebox-tools | Rust 地形/水文/LiDAR 分析引擎（CLI + Python） | cli hydrology terrain-analysis python |
🗄️ 空间数据库
| 技能 | 简介 | 关键标签 |
|---|---|---|
| postgis | PostgreSQL 空间数据库扩展 | database sql spatial postgresql |
| duckdb-spatial | DuckDB 空间扩展：列式库做空间 SQL 与 GeoParquet | duckdb sql geoparquet analytics |
| spatialite | SQLite 空间扩展：单文件空间数据库、RTree 索引 | sqlite database spatial sql |
🔧 几何运算库
| 技能 | 简介 | 关键标签 |
|---|---|---|
| jts | Java Topology Suite 几何引擎 | java geometry spatial |
| geometry-api-java | Esri Geometry API for Java | java esri geometry |
| geometry-api-net | Esri Geometry API for .NET | dotnet esri geometry |
| shapely | Python 几何对象与运算 | python geometry geos wkt |
| geopandas | Python 矢量空间数据处理 | python pandas vector |
What ships with it
60 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.
- brutile/SKILL.md 14 KB
- cesiumjs/SKILL.md 12 KB
- deck-gl/SKILL.md 20 KB
- duckdb-spatial/SKILL.md 16 KB
- gdal-api/reference/raster-api.md 9.7 KB
- gdal-api/reference/vector-api.md 17 KB
- gdal-api/SKILL.md 16 KB
- gdal/reference/data-formats.md 973 B
- gdal/reference/raster-tools.md 14 KB
- gdal/reference/vector-tools.md 4.0 KB
- gdal/SKILL.md 14 KB
- geolibre/SKILL.md 16 KB
- geometry-api-java/SKILL.md 14 KB
- geometry-api-net/reference/geometry-types.md 8.6 KB
- geometry-api-net/SKILL.md 15 KB
- geonode/SKILL.md 16 KB
- geopandas/reference/core-api.md 7.2 KB
- geopandas/SKILL.md 15 KB
- geopipe-agent/reference/backends.md 2.4 KB
- geopipe-agent/reference/knowledge.md 3.8 KB
- geopipe-agent/reference/pipeline-schema.md 2.2 KB
- geopipe-agent/reference/self-extension.md 2.1 KB
- geopipe-agent/reference/steps-reference.md 26 KB
- geopipe-agent/reference/workflows.md 4.3 KB
- geopipe-agent/SKILL.md 15 KB
- geoserver-cloud/SKILL.md 9.7 KB
- geoserver-rest-api/reference/endpoints.md 9.6 KB
- geoserver-rest-api/SKILL.md 15 KB
- geoserver/SKILL.md 8.4 KB
- geotools/reference/raster-rendering.md 2.6 KB
- geotools/reference/vector-io.md 4.1 KB
- geotools/SKILL.md 18 KB
- grass-gis/SKILL.md 16 KB
- jts/reference/geometry-operations.md 7.5 KB
- jts/SKILL.md 13 KB
- kepler-gl/SKILL.md 15 KB
- leaflet/SKILL.md 13 KB
- mapbox-gl-js/SKILL.md 17 KB
- mapserver/SKILL.md 12 KB
- mapsui/SKILL.md 10 KB
- nettopologysuite/SKILL.md 12 KB
- opengis-all/reference/data-stages.md 20 KB
- opengis-all/reference/workflow-cheatsheets.md 9.7 KB
- opengis-all/SKILL.md 13 KB
- opengis-daf/SKILL.md 17 KB
- opengis-utils-for-java/reference/common-tasks.md 14 KB
- opengis-utils-for-java/SKILL.md 19 KB
- opengis-utils-for-net/reference/code-patterns.md 3.0 KB
- opengis-utils-for-net/reference/util-classes.md 8.8 KB
- opengis-utils-for-net/SKILL.md 20 KB
- openlayers/SKILL.md 10 KB
- pdal/SKILL.md 14 KB
- postgis/SKILL.md 10.0 KB
- proj/SKILL.md 13 KB
- projnet4geoapi/SKILL.md 15 KB
- pyqgis/reference/processing-rendering.md 7.3 KB
- pyqgis/reference/vector-raster-layers.md 6.8 KB
- pyqgis/SKILL.md 16 KB
- qgis-process/reference/algorithm-cheatsheet.md 5.4 KB
- qgis-process/SKILL.md 15 KB
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.
- today Changed · +17 lines · +26 tokens per session ba44a2170d08
- 12d ago Changed · +8 lines · +14 tokens per session 2cb84e9e005a
- 13d ago Changed 6aea956acc57
- 1mo ago Changed · +2 lines · +6 tokens per session c49c6ab4973f
- 1mo ago Changed · -1 lines aa609e5f44c9
- 1mo ago First seen · 127 lines · 71 tokens per session scan A 475ec3d52757
gis-skills is a skill published in the GitHub repository znlgis/opengis-skills (75 stars, last pushed today), licensed MIT. It adds 117 tokens to every session and 2,913 once invoked, about $0.0005 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
QGIS Processing
Use Arion's local QGIS integration to discover, describe, and run qgisprocess workflows against file-backed layers. Use when a request involves QGIS Processing algorithms, qgisprocess troubleshooting, chaining multiple QGIS steps, or selecting the right algorithm and parameters for a map layer.
CRS Sanity Check
Validate coordinate systems, units, and reprojection assumptions before analysis.
Data Source Intake
Standard intake checklist for evaluating geospatial data sources before use.
Geospatial Triage
Rapidly scope a geospatial request, validate data assumptions, and propose an execution plan.
geopandas-gis
Vector GIS analysis with GeoPandas: spatial joins, overlays, buffer/dissolve, choropleth maps, and rasterio integration for raster-vector workflows.
archaeological-gis
Use this Skill for archaeological GIS: site catchment analysis, viewshed computation, kernel density estimation, and spatial statistics with GeoPandas.