open-meteo

open-meteo is a skill for Claude Code, Codex from itechmeat/llm-code. It costs 133 tokens per session (1,219 once invoked), scanned A, original, MIT.

A guide for using Open-Meteo's web APIs, which provide weather forecasts, air-quality information, and place-name lookup. It explains how to turn location names into coordinates and request results with the right dates, units, and time zones.

In plain words
What is it for?
Use it to fetch forecasts, air quality, pollen data, or coordinates for one or more places, with consistent parsing and error handling.
Why use it?
It reduces mistakes when choosing API requests or interpreting times, locations, and units in returned data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to fetch forecasts, air quality, pollen data, or coordinates for one or more places, with consistent parsing and error handling.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/itechmeat/llm-code/open-meteo
Install

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.

Any agent
npx skills add itechmeat/llm-code --skill open-meteo
Clone the repo
git clone --depth 1 https://github.com/itechmeat/llm-code

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for open-meteo

README.md
[![agentmods](https://agentmods.dev/badge/skills/itechmeat/llm-code/open-meteo/github.svg)](https://agentmods.dev/skills/itechmeat/llm-code/open-meteo)
Your own site
<a href="https://agentmods.dev/skills/itechmeat/llm-code/open-meteo"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/open-meteo/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.

agentmods 80×15 button for open-meteo

Your own site · 80×15
<a href="https://agentmods.dev/skills/itechmeat/llm-code/open-meteo"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/open-meteo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,219 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 18
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00133 $0.01219
Opus 5.5 $0.00053 $0.00488
Sonnet 5.5 $0.00027 $0.00244
Haiku 4.5 $0.00013 $0.00122

Measured 24d ago against content hash d0a74f6978d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

open-meteo 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 24d 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.

skills/open-meteo/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Open Meteo

Goal

Provide a reliable, production-friendly way to call Open-Meteo APIs (Forecast, Air Quality, Geocoding), choose variables, control time/units/timezone, and parse responses consistently.

Steps

  1. Pick the correct API and base URL

    • Forecast: https://api.open-meteo.com/v1/forecast
    • Air Quality: https://air-quality-api.open-meteo.com/v1/air-quality
    • Geocoding: https://geocoding-api.open-meteo.com/v1/search
  2. Resolve coordinates (if you only have a name)

    • Call Geocoding with name and optional language, countryCode, count.
    • Use the returned latitude, longitude, and timezone for subsequent calls.
  3. Design your time axis (timezone, timeformat, and range)

    • Prefer timezone=auto when results must align to local midnight.
    • If you request daily=..., set timezone (docs: daily requires timezone).
    • Choose timeformat=iso8601 for readability, or timeformat=unixtime for compactness.
      • If using unixtime, remember timestamps are GMT+0 and you must apply utc_offset_seconds for correct local dates.
    • Choose range controls:
      • forecast_days and optional past_days, or
      • explicit start_date/end_date (YYYY-MM-DD), and for sub-daily start_hour/end_hour.
  4. Choose variables minimally (avoid "download everything")

    • Forecast: request only the variables you need via hourly=..., daily=..., current=....
    • Air Quality: request only the variables you need via hourly=..., current=....
    • Keep variable names exact; typos return a JSON error with error: true.
  5. Choose units and model selection deliberately

    • Forecast units:
      • temperature_unit (celsius / fahrenheit)
      • wind_speed_unit (kmh / ms / mph / kn)
      • precipitation_unit (mm / inch)
    • Forecast model selection:
      • default models=auto / “Best match” combines the best models.
      • you can explicitly request models via models=....
      • provider-specific forecast endpoints also exist (provider implied by path). See references/models.md (section "Endpoints vs models=") for examples and doc links.
      • for provider/model-specific selection tradeoffs, see references/models.md.
    • Air Quality domain selection:
      • domains=auto (default) or cams_europe / cams_global.

Read the full file on GitHub · 85 lines

Files

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.

Changes

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.

  1. 24d ago Changed d0a74f6978d3
  2. 1mo ago Changed 16e56cd2e6c1
  3. 1mo ago First seen · 85 lines · 133 tokens per session scan A cba02ba3899f

Subscribe to this mod's changes

open-meteo is a skill published in the GitHub repository itechmeat/llm-code (24 stars, last pushed 24d ago), licensed MIT. It adds 133 tokens to every session and 1,219 once invoked, about $0.0005 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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