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.
npx skills add cmer81/open-meteo-mcp --skill open-meteo-advancedgit clone --depth 1 https://github.com/cmer81/open-meteo-mcpWrote 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.
[](https://agentmods.dev/skills/cmer81/open-meteo-mcp/open-meteo-advanced)<a href="https://agentmods.dev/skills/cmer81/open-meteo-mcp/open-meteo-advanced"><img src="https://agentmods.dev/badge/skills/cmer81/open-meteo-mcp/open-meteo-advanced/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.
<a href="https://agentmods.dev/skills/cmer81/open-meteo-mcp/open-meteo-advanced"><img src="https://agentmods.dev/badge/skills/cmer81/open-meteo-mcp/open-meteo-advanced.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.02744 |
| Opus 5 | $0.00017 | $0.01372 |
| Sonnet 5 | $0.00007 | $0.00549 |
| Haiku 4.5 | $0.00003 | $0.00274 |
Grade A, and why
open-meteo-advanced 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Open-Meteo MCP — Advanced
Overview
Use this skill when:
- The user asks for a specific weather model (ECMWF, GFS, DWD ICON, Météo-France, JMA, MET Norway, GEM)
- The user wants to compare models (make parallel calls, one per model tool)
- Forecasts beyond 16 days are needed
- Ensemble uncertainty / confidence intervals are requested
- A seasonal outlook (1–7 months) or climate projection (to 2050) is needed
For everyday weather questions, use open-meteo instead.
Model Selection Guide
| Tool | Provider | Geographic Focus | Horizon | Best For |
|---|---|---|---|---|
ecmwf_forecast |
ECMWF IFS | Global | 15 days | Highest global accuracy |
gfs_forecast |
NOAA GFS | Global | 16 days | Global, especially Americas |
dwd_icon_forecast |
DWD ICON | Europe only | 2–7.5 days | High-res Europe |
meteofrance_forecast |
Météo-France AROME/ARPEGE | France, DOM-TOM, Mediterranean/Europe | 2–4 days | France + nearby regions |
jma_forecast |
JMA | Asia-Pacific | 4–11 days | Japan and Asia-Pacific |
metno_forecast |
MET Norway | Nordic-primary (global extension via blending) | 2.5 days | Nordic region precision |
gem_forecast |
Environment Canada GEM | North America | 2–10 days | Canada |
ensemble_forecast |
Multi-model | Global | 35 days | Forecast uncertainty ranges |
seasonal_forecast |
ECMWF SEAS5 | Global | up to 217 days | 1–7 month outlook |
climate_projection |
CMIP6 | Global | 1950–2050 | Multi-decade scenarios |
Geographic constraints:
dwd_icon_forecast: Europe only — do not use for other regions.metno_forecastwithmetno_nordic: Nordic region only.metno_seamlessis Nordic-primary with global extension via blending, not a general-purpose global model.meteofrance_forecast: France + DOM-TOM + Mediterranean/Europe coverage.
Key Parameters
Model-specific forecast tools
Applies to: dwd_icon_forecast, gfs_forecast, meteofrance_forecast, ecmwf_forecast, jma_forecast, metno_forecast, gem_forecast
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.
- 12d ago First seen · 161 lines · 35 tokens per session scan A 770768afaeed
open-meteo-advanced is a skill published in the GitHub repository cmer81/open-meteo-mcp (68 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 2,744 once invoked, about $0.0002 per session on Opus 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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