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 michelgrolet/tars-location-mcp --skill whats-the-weathergit clone --depth 1 https://github.com/michelgrolet/tars-location-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/michelgrolet/tars-location-mcp/whats-the-weather)<a href="https://agentmods.dev/skills/michelgrolet/tars-location-mcp/whats-the-weather"><img src="https://agentmods.dev/badge/skills/michelgrolet/tars-location-mcp/whats-the-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/michelgrolet/tars-location-mcp/whats-the-weather"><img src="https://agentmods.dev/badge/skills/michelgrolet/tars-location-mcp/whats-the-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 | $0.00091 | $0.00596 |
| Opus 5 | $0.00046 | $0.00298 |
| Sonnet 5 | $0.00018 | $0.00119 |
| Haiku 4.5 | $0.00009 | $0.00060 |
Grade A, and why
whats-the-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 11d 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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What's the weather
The user has an archive of their own positions, so a weather question needs no coordinates and no city. Read the position, then the weather. Never ask them where they are.
Pick the tool that matches the question
| The question | The tool |
|---|---|
| will it rain, should I take an umbrella, what are the chances | will_it_rain |
| what is it like outside right now | weather_now |
| the next few days, the weekend, the trip | weather_forecast |
| how reliable is this, why do two apps disagree | weather_models |
| what was the weather that day, on that trip | weather_history |
All five default to where the user is. Pass place for somewhere else, and lat/lon only when you already have coordinates. will_it_rain covers the rest of today by default; pass date for a whole day up to about four days out, or hours for the next N.
Anything phrased as a chance goes through will_it_rain
weather_now and weather_forecast carry a single model's own chance of rain. will_it_rain counts about 120 ensemble members from three centres. When the user asks how likely something is, the counted number is the one to report.
Report the percentage and the verdict word next to it: "62 %, likely" says more than either alone. When the answer says the centres disagree, say that too, in the same breath — a 40 % they all agree on and a 40 % that is ECMWF at 5 % against NOAA at 75 % are not the same forecast, and the second one is a reason to check again later.
The dry window is usually the real answer. "It rains this afternoon but you have until 14:00" is what the question was about.
Say which position was used
Every answer carries a where block with the coordinates and how they were decided. When it says the fix is stale, or that a past-weather question fell back to the current position because nothing was recorded that day, that belongs in the reply. A forecast for the wrong town is indistinguishable from a wrong 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.
- 11d ago First seen · 35 lines · 91 tokens per session scan A f8e2ea05a676
whats-the-weather is a skill published in the GitHub repository michelgrolet/tars-location-mcp (0 stars, last pushed 18d ago), licensed MIT. It adds 91 tokens to every session and 596 once invoked, about $0.0005 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 2026-08-31.
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