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Open Meteo

Checked
itechmeat·vlatest·other·MIT

Open Meteo provides current weather data and forecasts from various sources, useful for applications needing real-time climate information.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add itechmeat/llm-code --skill open-meteo -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

itechmeat

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned itechmeat/llm-code at 7ae8a00524.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7ae8a00524
Manifest
skills/open-meteo/SKILL.md
Scanned
7 files, 679 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The open-meteo skill allows AI agents to retrieve current weather data from the Open-Meteo API. It can provide information such as temperature, feels like temperature, wind speed, and humidity for specified locations. This enables agents to respond to user queries about the weather or incorporate weather conditions into other tasks.

When to use it

  • A user asks "What's the weather like in London?"
  • An agent needs to adjust a travel itinerary based on current weather conditions in Rome.
  • You want an AI assistant to provide daily weather summaries for your city.
  • An agent is building a smart home application and requires real-time temperature data.

Key capabilities

  • Retrieves weather data from the Open-Meteo API.
  • Provides current temperature, feels like temperature, wind speed, and humidity.
  • Supports location queries by city name or latitude/longitude coordinates.

Example prompts

  • "Get me the current weather in Berlin."
  • "What's the temperature and wind speed in Paris?"
  • "Give me the weather for latitude 40.7128, longitude -74.0060."

Tips & gotchas

The skill relies on the Open-Meteo API; ensure your agent has internet access to utilize it effectively. Location names should be specific and unambiguous for accurate results.