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 kaivyy/kabot --skill weathergit clone --depth 1 https://github.com/kaivyy/kabotWrote 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/kaivyy/kabot/weather)<a href="https://agentmods.dev/skills/kaivyy/kabot/weather"><img src="https://agentmods.dev/badge/skills/kaivyy/kabot/weather/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/kaivyy/kabot/weather"><img src="https://agentmods.dev/badge/skills/kaivyy/kabot/weather.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 | $0.00044 | $0.01119 |
| Opus 5 | $0.00022 | $0.00560 |
| Sonnet 5 | $0.00009 | $0.00224 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
weather 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 9d 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.
metadata: {"kabot":{"emoji":"🌤️","requires":{"bins":["curl"]}}} How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weather Skill
Get current weather and forecasts with Open-Meteo as the primary source and wttr.in as a fast human-readable fallback.
When to Use
Use this skill when the user asks things like:
- "What's the weather in Tokyo?"
- "Will it rain today in Cilacap?"
- "Temperature in London right now"
- "Forecast for the next 3-7 days"
- Travel planning with weather context
Do not use this skill for:
- Historical weather data
- Severe weather alerts or emergency warnings
- Aviation or marine weather
- Climate analysis or long-term trends
- Hyper-local sensor-grade measurements
Location
Always ground the request to a real location.
- If the user already gave a city/region/airport code, use it.
- If the follow-up omits the location, reuse the last grounded weather location.
- If no location can be grounded, ask briefly for one instead of guessing.
Open-Meteo (Primary)
Prefer Open-Meteo for current conditions and forecast data because it is structured, keyless, and easy to audit.
Geocoding
curl -s "https://geocoding-api.open-meteo.com/v1/search?name=London&count=1&language=en&format=json"
Current Weather
curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5072&longitude=-0.1276¤t=temperature_2m,relative_humidity_2m,apparent_temperature,precipitation,weather_code,wind_speed_10m,wind_direction_10m&timezone=auto"
Hourly Rain / Next Few Hours
curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5072&longitude=-0.1276&hourly=temperature_2m,precipitation_probability,precipitation,weather_code,wind_speed_10m&forecast_days=2&timezone=auto"
Daily Forecast
curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5072&longitude=-0.1276&daily=weather_code,temperature_2m_max,temperature_2m_min,precipitation_probability_max&forecast_days=7&timezone=auto"
wttr.in (Fallback / Quick Readable Output)
Use wttr.in when you need a quick readable summary, a simple terminal forecast, or an image output.
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.
- 9d ago First seen · 148 lines · 44 tokens per session scan A 7cd92918855e
weather is a skill published in the GitHub repository kaivyy/kabot (20 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,119 once invoked, about $0.0002 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 2026-09-03.
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