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 eins78/meteoswiss-llm-tools --skill meteoswiss-ogdgit clone --depth 1 https://github.com/eins78/meteoswiss-llm-toolsWrote 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/eins78/meteoswiss-llm-tools/meteoswiss-ogd)<a href="https://agentmods.dev/skills/eins78/meteoswiss-llm-tools/meteoswiss-ogd"><img src="https://agentmods.dev/badge/skills/eins78/meteoswiss-llm-tools/meteoswiss-ogd/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/eins78/meteoswiss-llm-tools/meteoswiss-ogd"><img src="https://agentmods.dev/badge/skills/eins78/meteoswiss-llm-tools/meteoswiss-ogd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00051 | $0.02589 |
| Opus 5 | $0.00026 | $0.01295 |
| Sonnet 5 | $0.00010 | $0.00518 |
| Haiku 4.5 | $0.00005 | $0.00259 |
Grade A, and why
meteoswiss-ogd scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s 'https://data.geo.admin.ch/ch.meteoschweiz.messwerte-aktuell/VQHA80.csv' \ How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MeteoSwiss Open Data
Access Swiss weather data from MeteoSwiss Open Government Data. Free, no API key. All data from data.geo.admin.ch. CSVs use semicolon (;) delimiters. Metadata CSVs are Latin1 — pipe through iconv -f latin1 -t utf-8.
Quick Reference
| Data | URL / Method | Updates |
|---|---|---|
| Current weather | https://data.geo.admin.ch/ch.meteoschweiz.messwerte-aktuell/VQHA80.csv |
10 min |
| Station metadata | STAC ch.meteoschweiz.ogd-smn → asset ogd-smn_meta_stations.csv (Latin1) |
Daily |
| Forecast metadata | STAC ch.meteoschweiz.ogd-local-forecasting → asset containing meta_point.csv (Latin1) |
Daily |
| Forecast data | STAC items in ch.meteoschweiz.ogd-local-forecasting → parameter CSVs |
Hourly |
| Pollen data | https://data.geo.admin.ch/ch.meteoschweiz.ogd-pollen/{abbr}/ogd-pollen_{abbr}_d_recent.csv (Latin1) |
Daily |
| Climate data | https://data.geo.admin.ch/ch.meteoschweiz.ogd-nbcn/{abbr}/ogd-nbcn_{abbr}_{res}.csv (res: m, y, d_recent) |
Daily (d_recent); m/y as periods close |
STAC API base: https://data.geo.admin.ch/api/stac/v1
1. Get Current Weather
# Get weather for Zurich (station SMA) — key columns: tre200s0 (temp °C),
# ure200s0 (humidity %), rre150z0 (precip mm), fu3010z0 (wind km/h)
curl -s 'https://data.geo.admin.ch/ch.meteoschweiz.messwerte-aktuell/VQHA80.csv' \
| awk -F';' 'NR==1 || $1=="SMA"'
Full parameter list in ${CLAUDE_SKILL_DIR}/REFERENCE.md. Missing values appear as empty fields or -. Timestamps are YYYYMMDDHHmm in UTC.
2. Find Stations
# Search weather stations by name (Latin1 encoded)
curl -s 'https://data.geo.admin.ch/ch.meteoschweiz.ogd-smn/ogd-smn_meta_stations.csv' \
| iconv -f latin1 -t utf-8 \
| awk -F';' 'NR==1 || tolower($0) ~ /zurich/'
Columns: station_abbr, station_name, station_canton, station_height_masl, station_coordinates_wgs84_lat, station_coordinates_wgs84_lon.
What ships with it
7 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.
- 12d ago First seen · 149 lines · 51 tokens per session scan A 54a2bf7632dd
meteoswiss-ogd is a skill published in the GitHub repository eins78/meteoswiss-llm-tools (2 stars, last pushed yesterday), licensed CC0-1.0. It adds 51 tokens to every session and 2,589 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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