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 runxhq/runx --skill open-meteo-weather-forecastgit clone --depth 1 https://github.com/runxhq/runxWrote 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/runxhq/runx/open-meteo-weather-forecast)<a href="https://agentmods.dev/skills/runxhq/runx/open-meteo-weather-forecast"><img src="https://agentmods.dev/badge/skills/runxhq/runx/open-meteo-weather-forecast/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/runxhq/runx/open-meteo-weather-forecast"><img src="https://agentmods.dev/badge/skills/runxhq/runx/open-meteo-weather-forecast.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 | $0.00031 | $0.00748 |
| Opus 5 | $0.00015 | $0.00374 |
| Sonnet 5 | $0.00006 | $0.00150 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
open-meteo-weather-forecast 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 8d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Open-Meteo Weather Forecast
Fetch global place, forecast, and air-quality evidence through runx's governed
HTTP front. The skill never performs an ad-hoc fetch. Each stage is a bounded,
read-only HTTP runner whose endpoint, inputs, status, authority scope, and
output packet are recorded in the sealed receipt. Open-Meteo requires no API key
and covers the whole globe, so this is the worldwide counterpart to the US-only
nws-weather-forecast provider.
Procedure
- Run
locatewith a city or place name. - Select the intended result and preserve its latitude, longitude, timezone, and country as a typed provider-evidence packet.
- Run the default
forecastrunner with the selected coordinates. - Require a 2xx response and preserve the provider URL, timezone, generation time, current conditions, daily forecast, and receipt references.
- Treat the result as context only. Any notification, scheduling change, or operational mutation requires a separate skill and authority gate.
Inputs
name(locate, required): city or place to resolve.count(locate, optional): maximum candidate results, default5.latitude(forecast, required): decimal latitude.longitude(forecast, required): decimal longitude.forecast_days(forecast, optional): days requested, default3.
Output packets
Two runners are exposed. The default main runner runs locate then
forecast. The air_quality runner runs locate then air_quality. Each
graph step produces a typed sealed packet:
locateproduces Open-Meteo geocoding provider evidence.forecastproduces Open-Meteo forecast provider evidence.air_qualityproduces Open-Meteo air-quality provider evidence (PM2.5, PM10, carbon monoxide, nitrogen dioxide, sulphur dioxide, ozone, and the European and US air-quality indices).
Preserve provider metadata and receipt references when passing either packet to another skill. Do not convert provider evidence into high-stakes advice.
What ships with it
3 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.
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.
- 8d ago First seen · 76 lines · 31 tokens per session scan A 041e0ec18fa4
open-meteo-weather-forecast is a skill published in the GitHub repository runxhq/runx (87 stars, last pushed 3d ago), licensed Apache-2.0. It adds 31 tokens to every session and 748 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 2026-09-03.
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