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 Vironnimo/vbot --skill weathergit clone --depth 1 https://github.com/Vironnimo/vbotWrote 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/vironnimo/vbot/weather)<a href="https://agentmods.dev/skills/vironnimo/vbot/weather"><img src="https://agentmods.dev/badge/skills/vironnimo/vbot/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/vironnimo/vbot/weather"><img src="https://agentmods.dev/badge/skills/vironnimo/vbot/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 | $0.00026 | $0.00779 |
| Opus 5.5 | $0.00010 | $0.00312 |
| Sonnet 5.5 | $0.00005 | $0.00156 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
weather 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 1mo 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weather
Use this for current conditions, rain and temperature checks, and short-range forecasts — for a city, region, airport code, landmark, or coordinates. You always need a location: if the user gives none and none is clear from context, ask for one.
How to fetch it
Fetch weather with the web_fetch tool against wttr.in, a free service that needs no API key. Always request the JSON format j2:
web_fetch(url: "https://wttr.in/London?format=j2")
Request format=j2 on purpose. web_fetch sends browser-like headers, so for wttr.in's human-readable formats the service answers with decorative HTML/ANSI that is useless to parse. j2 returns compact JSON instead — current conditions plus a 3-day forecast, without the bulky per-hour data — which web_fetch hands back verbatim (a few KB, well within its output cap). Parse that JSON and summarize it; do not read the weather back field by field.
Building the URL
The location goes in the URL path. Encode spaces as +:
- City or region —
https://wttr.in/Berlin?format=j2,https://wttr.in/New+York?format=j2 - Airport code —
https://wttr.in/MUC?format=j2 - Coordinates —
https://wttr.in/48.85,2.35?format=j2 - Landmark or point of interest — prefix with
~:https://wttr.in/~Eiffel+Tower?format=j2
Reading the JSON
Summarize current_condition[0], nearest_area[0] (to confirm the resolved place), and the first entries of weather[] for the forecast. wttr.in returns both metric and imperial fields — pick the units that fit the user.
Current conditions — current_condition[0]:
weatherDesc[0].value— condition text (e.g. "Partly cloudy")temp_C/temp_F— temperatureFeelsLikeC/FeelsLikeF— feels-like temperatureprecipMM— precipitationhumidity— relative humidity (%)windspeedKmph/windspeedMiles— wind speed
Forecast — each entry in weather[] (today plus the next days):
datemintempC/maxtempC(and the…Fvariants)avgtempC,uvIndex, andastronomy[0]for sunrise / sunset
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.
- 1mo ago Changed · -83 tokens per session 98c7911e3e83
- 1mo ago First seen · 54 lines · 109 tokens per session scan A 7c00ce806d8b
weather is a skill published in the GitHub repository Vironnimo/vbot (1 stars, last pushed 2d ago), licensed Apache-2.0. It adds 26 tokens to every session and 779 once invoked, about $0.0001 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 2026-08-31.
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