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euskalmeteuskalmet 效率

Agent Skill

euskalmet 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

2,889

周安装

118

GitHub Stars

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下载量

925
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:euskalmet(euskalmet 效率)
来源仓库:https://github.com/zero-astro/euskalmet
安装命令:
openclaw skills install euskalmet
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 euskalmet

简介

通过 Euskalmet 机构获取巴斯克地区天气预报。

  • 支持今日天气、温度及时段查询功能。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 适用于本地化气象信息服务场景。euskalmet 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装,集成至 OpenClaw 宿主环境。
  • 需注意数据更新频率与地理覆盖范围限制。

SKILL.md

name
euskalmet
description
Tool for obtaining weather forecasts for the Basque Country through the Euskalmet agency. Use when the user wants to know today's weather, temperatures, or the general forecast.

Euskalmet Skill

Specialized tool for retrieving weather forecast data from the Euskalmet (Basque Meteorology Agency) API.

Usage

Execute both scripts from the skill root directory to fetch and format the weather forecast:

cd ~/.openclaw/skills/euskalmet
./venv/bin/python3 scripts/main.py && ./venv/bin/python3 scripts/format_forecast.py

Optional: Pass a username for a personalized greeting:

./venv/bin/python3 scripts/format_forecast.py --username "Urtzi"
# Output: "Egun on, Urtzi! ✨"

# Without username:
# Output: "Egun on! ✨"

You can also set EUSKALMET_GREETING_NAME in your .env file (not related to API credentials — used only for the greeting):

EUSKALMET_GREETING_NAME=Urtzi

Important: Always run both scripts in sequence. The first (main.py) downloads the raw JSON forecast data, and the second (format_forecast.py) formats it into a human-readable message in Basque.

Output

The formatted output includes:

  • Current date in the header (e.g., "Gaur (2026-03-24)")
  • Location name (e.g., "Laudion")
  • Weather description with emoji
  • Min/Max temperatures for today
  • 3-day forecast with weather, emoji, and temperature ranges

Example output:

Egun on, Urtzi! ✨

Gaur (2026-03-24) Laudion **Zaparrada txikiak** 🌧️ izango dugu, 11.5 °C maximoarekin eta 5.8 °C minimoarekin.

Hona hemen datozen egunetarako joera:
📅 **Bihar:** Euri txikia 🌧️ | ⬇️ 4.4 °C  ⬆️ 9.1 °C
📅 **Etzi:** Zaparrada txikiak 🌧️ | ⬇️ 3.1 °C  ⬆️ 10.9 °C
📅 **Etzidamu:** Euri txikia 🌧️ | ⬇️ 2.2 °C  ⬆️ 11.5 °C

Egun bikaina izan! 🚀

Files

Scripts (scripts/)

  • main.py — Downloads the raw JSON forecast from the Euskalmet API and saves it to forecasts/
  • format_forecast.py — Reads the JSON and outputs a formatted Basque-language weather message
  • test_env.py — Tests that your API credentials are valid
  • download_images.py — Downloads weather icons from Euskalmet API
  • test_structure.py — Verifies the skill file structure is correct

Data

  • forecasts/<location>-euskalmet.json — Raw JSON data for each location
  • available-locations.json — List of available locations supported by the API

Directory Structure

euskalmet/
├── SKILL.md                    # This file
├── scripts/
│   ├── main.py                # Main script (downloads forecast data)
│   ├── format_forecast.py     # Formats forecast into human-readable message
│   ├── test_env.py           # Test API credentials
│   ├── download_images.py    # Download weather icons
│   └── test_structure.py      # Verify skill file structure
├── requirements.txt           # Python dependencies
├── .env                       # Environment variables (API credentials) [not in repo]
├── available-locations.json    # List of available locations
├── venv/                      # Python virtual environment (Python 3.12)
├── forecasts/                 # Generated forecast JSON files
│   └── laudio-euskalmet.json # Example: Laudio/Llodio forecast
├── images/                   # Weather icons (legacy PNG)
└── images-modern/            # Weather icons (modern SVG)

Setup

1. Virtual Environment

Create (or recreate) the virtual environment with Python 3.12:

cd ~/.openclaw/skills/euskalmet
rm -rf venv
python3.12 -m venv venv
./venv/bin/pip install -r requirements.txt

Note: The venv must use Python 3.12+ for compatibility with the latest dependencies.

2. Environment Variables

Configure your .env file with your Euskalmet API credentials:

EUSKALMET_API_EMAIL=your_email@example.com
EUSKALMET_API_PRIVATE_KEY=your_private_key

Optional: Add a name for a personalized greeting (not related to API credentials):

EUSKALMET_GREETING_NAME=YourName

If not set, the greeting will be "Egun on!" instead of "Egun on, YourName!"

To obtain API credentials, register at: https://www.euskalmet.euskadi.eus/

3. Test Setup

Test that your API credentials are correct:

cd ~/.openclaw/skills/euskalmet
./venv/bin/python3 scripts/test_env.py

Verify the skill file structure:

cd ~/.openclaw/skills/euskalmet
./venv/bin/python3 scripts/test_structure.py

Additional Commands

Download Forecast for a Location

./venv/bin/python3 scripts/main.py

Download Available Locations List

./venv/bin/python3 scripts/main.py --download

List All Available Locations

./venv/bin/python3 scripts/main.py --locations

Download Weather Icons

./venv/bin/python3 scripts/download_images.py

Data Retrieved

The skill extracts:

  1. Date — The date of the forecast (YYYY-MM-DD format)
  2. Location — The town/location name (e.g., "Laudio")
  3. Weather Description — Basque-language description (e.g., "Zaparrada txikiak")
  4. Min/Max Temperatures — Daily temperature range in Celsius
  5. Weather Icons — Emoji representation of weather conditions

Weather Conditions (Emoji Mapping)

Basque KeywordEmoji
oskarbi, eguzki☀️
hodei gutxi, hodeitsu, tarteka🌤️
hodei, estalia, laino☁️
euri, zaparrada, zirimiria🌧️
elur❄️
ekaitz⛈️
(default)🌡️

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

74.32%
按下载量换算687

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可疑

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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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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