How do I install the Yr Weather skill?

Run npx skillmds@latest add dvcrn/yr-weather in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Yr Weather safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: CAUTION, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Yr Weather?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Yr Weather free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Yr Weather?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Yr Weather by dvcrn — Agent Skill

Name: Yr Weather
Rating: 4.2 (5 reviews)
Author: dvcrn

Yr Weather

Fetch weather forecasts from the Norwegian Meteorological Institute (MET) using the yr.no API. Use when the user asks for weather information, forecasts, temperature, precipitation, wind conditions, or any weather-related queries for specific locations. Supports coordinates-based lookups and returns current conditions plus forecasts. REQUIRES latitude/longitude - no defaults. See common locations table.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Yr.no Weather

Get weather forecasts from MET Norway via yr.no API (free, no key).

Quick Start

# Current weather + forecast (requires lat/lon)
python3 {baseDir}/scripts/weather.py &lt;lat&gt; &lt;lon&gt; [altitude]

# Examples from common locations:
python3 {baseDir}/scripts/weather.py -33.9288 18.4174   # Cape Town
python3 {baseDir}/scripts/weather.py -33.8688 151.2093  # Sydney
python3 {baseDir}/scripts/weather.py 51.5074 -0.1278    # London

# Tomorrow&#x27;s summary (requires lat/lon)
python3 {baseDir}/scripts/tomorrow.py &lt;lat&gt; &lt;lon&gt;

# Run tests
python3 -m unittest discover {baseDir}/tests

Tests

Unit tests mock API calls (no network).
Sample data in scripts/tests/data/.
Run: cd {baseDir}/scripts && python3 ../tests/test_*.py

Common Locations

City	Lat	Lon
Cape Town	-33.9288	18.4174
Johannesburg	-26.2041	28.0473
Durban	-29.8587	31.0218
Sydney	-33.8688	151.2093
London	51.5074	-0.1278
New York	40.7128	-74.0060
Tokyo	35.6762	139.6503

Structure

scripts/
├── yr_service.py    # API calls (tested/mocked)
├── utils.py         # Emoji/symbol helpers
├── weather.py       # Current + forecast CLI
├── tomorrow.py      # Tomorrow summary CLI
└── tests/data/      # Sample JSON
tests/
├── test_weather.py
└── test_service.py

Standalone Repo

Install via pip: pip install git+https://github.com/brandoncrabpi/yr-weather.git

yr-weather -33.9288 18.4174
Tagged: v1.0.0

Usage Terms

User-Agent required (included).
Cache 10min+ per location.
Credit: "Data from MET Norway".

Refactored for production: no defaults, tests, modular service.

---name: yr-weatherdescription: Fetch weather forecasts from the Norwegian Meteorological Institute (MET) using the yr.no API. Use when the user asks for weather information, forecasts, temperature, precipitation, wind conditions, or any weather-related queries for specific locations. Supports coordinates-based lookups and returns current conditions plus forecasts. REQUIRES latitude/longitude - no defaults. See common locations table.---# Yr.no WeatherGet weather forecasts from MET Norway via yr.no API (free, no key).## Quick Start```bash# Current weather + forecast (requires lat/lon)python3 {baseDir}/scripts/weather.py <lat> <lon> [altitude]# Examples from common locations:python3 {baseDir}/scripts/weather.py -33.9288 18.4174 # Cape Townpython3 {baseDir}/scripts/weather.py -33.8688 151.2093 # Sydneypython3 {baseDir}/scripts/weather.py 51.5074 -0.1278 # London# Tomorrow's summary (requires lat/lon)python3 {baseDir}/scripts/tomorrow.py <lat> <lon># Run testspython3 -m unittest discover {baseDir}/tests```## Tests- Unit tests mock API calls (no network).- Sample data in `scripts/tests/data/`.- Run: `cd {baseDir}/scripts && python3 ../tests/test_*.py`## Common Locations| City | Lat | Lon ||---------------|-----------|-----------|| Cape Town | -33.9288 | 18.4174 || Johannesburg | -26.2041 | 28.0473 || Durban | -29.8587 | 31.0218 || Sydney | -33.8688 | 151.2093 || London | 51.5074 | -0.1278 || New York | 40.7128 | -74.0060 || Tokyo | 35.6762 | 139.6503 |## Structure```scripts/├── yr_service.py # API calls (tested/mocked)├── utils.py # Emoji/symbol helpers├── weather.py # Current + forecast CLI├── tomorrow.py # Tomorrow summary CLI└── tests/data/ # Sample JSONtests/├── test_weather.py└── test_service.py```## Standalone RepoInstall via pip: `pip install git+https://github.com/brandoncrabpi/yr-weather.git`- `yr-weather -33.9288 18.4174`- Tagged: v1.0.0## Usage Terms- User-Agent required (included).- Cache 10min+ per location.- Credit: "Data from MET Norway".Refactored for production: no defaults, tests, modular service.

Frequently asked questions