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openstreet-map打开街道地图

Agent Skill

openstreet-map 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,260

周安装

183

GitHub Stars

公开资料未说明

下载量

1,493
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openstreet-map(打开街道地图)
来源仓库:https://github.com/poxenstudio/openstreet-map
安装命令:
openclaw skills install openstreet-map
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install openstreet-map

简介

openstreet-map 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于需要 OpenStreetMap 地理编码或生成带注释地图的 OpenClaw 应用场景。
  • 通过 openclaw skills install openstreet-map 命令安装,专注于地理空间数据处理。
  • 安装前建议确认权限范围和维护状态,注意可能涉及地图数据访问和网络请求。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
openstreet-map
version
1.0.0
description
Use when you need OpenStreetMap geocoding or annotated map generation for a set of places.

OpenStreet Map Skill (for OpenClaw)

This skill provides two capabilities:

  1. Query one place's location information.
  2. Render an annotated map image for multiple places with numbered markers and a legend.

Prerequisites

  • Python 3.10+
  • Internet access (Nominatim + OSM tile endpoints)

Optional environment variable:

  • OPENSTREET_MAP_HOST: Override only the openstreetmap.org host suffix in the default endpoints. Recommended form: openstreetmap.org. If http:// or https:// is provided, only the host part is used.

When set, the skill uses:

  • Geocode endpoint: https://nominatim.${OPENSTREET_MAP_HOST}/search
  • Tile endpoint: https://tile.${OPENSTREET_MAP_HOST}/{z}/{x}/{y}.png

Examples:

  • OPENSTREET_MAP_HOST=openstreetmap.org -> https://nominatim.openstreetmap.org/search
  • OPENSTREET_MAP_HOST=https://openstreetmap.org -> https://tile.openstreetmap.org/{z}/{x}/{y}.png

Install

pip install -r requirements.txt

Capability 1: Query location info

python tools/openstreet_skill.py locate --query "The Bund Shanghai" --limit 1

Output is JSON including display_name, lat, lon, and type metadata.

Capability 2: Render annotated map

Input JSON file format (array):

[
  {"name": "Point A", "lat": 31.2304, "lon": 121.4737},
  {"name": "Point B", "query": "The Bund Shanghai"}
]

Render command:

python tools/openstreet_skill.py render \
  --points-file examples/points.json \
  --output output/annotated_map.png \
  --width 1600 \
  --height 800

Render command with base64 JSON input:

python tools/openstreet_skill.py render \
  --points-base64 "W3sibmFtZSI6IlBvaW50IEEiLCJsYXQiOjMxLjIzMDQsImxvbiI6MTIxLjQ3Mzd9LHsibmFtZSI6IlBvaW50IEIiLCJxdWVyeSI6IlRoZSBCdW5kIFNoYW5naGFpIn1d" \
  --output output/annotated_map.png

Optional: render command returning base64-encoded image (no file written):

python tools/openstreet_skill.py render \
  --points-base64 "..." \
  --base64

Optional: render command writing file and returning base64:

python tools/openstreet_skill.py render \
  --points-base64 "..." \
  --output output/annotated_map.png \
  --base64

render input/output options:

  • --points-file / --points-base64: points source (mutually exclusive, one required).
  • --output: save image to path. This is the default and recommended output mode.
  • --base64: include base64-encoded PNG in JSON stdout under image_base64. Use only when the caller cannot access output files directly.
  • At least one of --output or --base64 must be provided.
Recommended: Default to file output with --output. Do not use --base64 unless file delivery is impossible, because base64 image payloads consume a large number of tokens. ``bash python tools/openstreet_skill.py render \ --points-file examples/points.json \ --output output/annotated_map.png ``

Behavior:

  • Selects a suitable zoom level to fit all points.
  • Downloads OSM tiles and stitches them into one map image.
  • Draws numbered markers on each place.
  • Appends a three-column legend under the map showing index and place name.
  • Saves final image to --output path if specified.

JSON output structure:

{
  "zoom": 14,
  "size": { "width": 1200, "height": 880 },
  "places": [
    { "index": 1, "name": "Point A", "lat": 31.2304, "lon": 121.4737 }
  ],
  "output": "output/annotated_map.png"
}
  • output: present only when --output is provided.
  • image_base64: present only when --base64 is set. PNG image encoded as standard base64. Avoid this in normal flows because it significantly increases token usage.

Notes for OpenClaw integration

  • Expose these two CLI actions as callable tools in OpenClaw:

- locate: maps to python tools/openstreet_skill.py locate ... - render: maps to python tools/openstreet_skill.py render ...

  • For render, default to --output file delivery instead of --base64 to keep responses small.
  • Return JSON stdout to the caller and treat non-zero exit code as failure.
  • Respect OSM usage policy by not sending high-frequency requests.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.65%
按下载量换算1,100

安全审计

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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