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 geopipe-agentgit 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/geopipe-agent)<a href="https://agentmods.dev/skills/znlgis/opengis-skills/geopipe-agent"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/geopipe-agent/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/geopipe-agent"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/geopipe-agent.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 | $0.00050 | $0.04257 |
| Opus 5 | $0.00025 | $0.02129 |
| Sonnet 5 | $0.00010 | $0.00851 |
| Haiku 4.5 | $0.00005 | $0.00426 |
Grade A, and why
geopipe-agent 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 yesterday.
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 — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.
项目地址： https://github.com/znlgis/GeoPipeAgent（PyPI 包名为
geopipe-agent）许可证： MIT
概述
GeoPipeAgent 是一个 AI 原生的 GIS 分析流水线引擎。核心理念是：你（AI）生成 YAML 管道配置，框架负责执行并返回结构化结果。
核心能力：
- 声明式流水线：YAML 定义分析步骤，AI 友好
- 丰富步骤库：矢量分析、栅格分析、网络分析、空间聚类、数据质检
- 多后端支持：native_python（基于 geopandas/shapely/rasterio）和 qgis_process
- 质检框架：10 种 QC 检查，支持错误/警告/信息三级
- 结构化报告：JSON 输出，含统计信息和 QC 汇总
- 步骤引用：
$step_id.output语法实现步骤间数据传递
快速开始
安装
pip install geopipe-agent
基本用法
# 生成管道模板
geopipe-agent template buffer > pipeline.yaml
# 编辑管道配置后执行
geopipe-agent run pipeline.yaml
# 列出所有可用步骤
geopipe-agent list-steps
# 查看步骤帮助
geopipe-agent help-step vector.buffer
最小示例
pipeline:
name: "快速缓冲区"
steps:
- id: read
use: io.read_vector
params:
path: "data/roads.shp"
- id: buffer
use: vector.buffer
params:
input: "$read"
distance: 500
- id: save
use: io.write_vector
params:
input: "$buffer"
path: "output/result.geojson"
outputs:
result: "$save"
核心概念
步骤引用语法
| 语法 | 说明 | 示例 |
|---|---|---|
$step_id |
等同于 $step_id.output |
$buffer |
$step_id.output |
引用步骤输出 | $buffer.output |
$step_id.stats |
引用步骤统计信息 | $buffer.stats |
$step_id.issues |
引用 QC 步骤问题列表 | $check.issues |
$step_id.issues_count |
QC 问题数量 | $check.issues_count |
${var_name} |
变量替换 | ${input_path} |
条件执行 (when)
- id: fix-geometries
use: qc.geometry_validity
params:
input: "$data"
auto_fix: true
when: "$check.issues_count > 0"
支持比较运算符（==, !=, >, <, >=, <=）、布尔运算符（and, or, not）。
错误处理 (on_error)
| 值 | 行为 |
|---|---|
fail（默认） |
停止管道执行 |
skip |
跳过当前步骤，继续下一步 |
retry |
重试最多 3 次（带退避） |
步骤分类
IO 步骤（io.*）
| 步骤 | 说明 | 关键参数 |
|---|---|---|
io.read_vector |
读取矢量数据（SHP/GeoJSON/GPKG） | path, layer, encoding |
io.read_raster |
读取栅格数据（GeoTIFF 等） | path |
io.write_vector |
写入矢量数据 | input, path, format, encoding |
io.write_raster |
写入栅格数据 | input, path |
What ships with it
2 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.
- yesterday Changed · -2 lines f2d9a6cc805c
- 8d ago Changed 149b47bd9ae5
- 12d ago First seen · 484 lines · 50 tokens per session scan A b7c37967caf2
geopipe-agent is a skill published in the GitHub repository znlgis/opengis-skills (60 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 4,257 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 2026-08-30.
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