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 | $0.00107 | $0.04255 |
| Opus 5.5 | $0.00043 | $0.01702 |
| Sonnet 5.5 | $0.00021 | $0.00851 |
| Haiku 4.5 | $0.00011 | $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 6d 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 — 300 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
最新版本: 0.1.0(截至2026-10,源码
pyproject.toml;发布包名geopipe-agent尚未上传 PyPI,需从源码安装)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:33 个内置步骤,覆盖矢量分析、栅格分析、网络分析、空间聚类、数据质检
- 多后端支持:7 种后端可切换(native_python / gdal_cli / gdal_python / qgis_process / pyqgis / generic_cli / curl_api),按环境自动检测可用性
- 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:
$step_id.output语法实现步骤间数据传递
快速开始
安装
git clone https://github.com/znlgis/GeoPipeAgent.git
cd GeoPipeAgent
pip install -e ".[analysis,network]" # 按需启用分析/网络分析可选依赖
基本用法
# 列出所有可用步骤(可按类别过滤)
geopipe-agent list-steps --category qc
# 查看步骤详情
geopipe-agent describe vector.buffer
# 校验 YAML 流水线(不执行)
geopipe-agent validate pipeline.yaml
# 执行流水线
geopipe-agent run pipeline.yaml
# 查看可用后端
geopipe-agent backends
# 查看 GIS 数据文件摘要
geopipe-agent info data/roads.shp
# 覆盖流水线变量 / 输出 JSON 步骤清单 / 生成 AI 技能包
geopipe-agent run pipeline.yaml --var input_path=roads.shp
geopipe-agent list-steps --format json
geopipe-agent generate-skill --output-dir skills/geopipe-agent
# 能力缺口:查候选能力与回退路径(自我扩展闭环入口)
geopipe-agent resolve "把 Shapefile 落库到 PostGIS"
geopipe-agent knowledge search "坐标转换" --tags crs
最小示例
pipeline:
name: "快速缓冲区"
steps:
- id: read
use: io.read_vector
params:
path: "data/roads.shp"
- id: buffer
use: vector.buffer
params:
input: "$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} |
What ships with it
6 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.
- 6d ago Changed · -10 lines · +53 tokens per session eae0e251e1c4
- 7d ago Changed · -180 lines · +4 tokens per session 50c788dcb872
- 12d ago Changed · +3 lines 79626bfdc178
- 1mo ago Changed · +5 lines c0fc3a179518
- 1mo ago Changed b8b69fe14545
- 1mo ago Changed · -2 lines f2d9a6cc805c
- 1mo ago Changed 149b47bd9ae5
- 1mo 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 (75 stars, last pushed 7d ago), licensed MIT. It adds 107 tokens to every session and 4,255 once invoked, about $0.0004 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.
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