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 curie-eng/curie --skill weathergit clone --depth 1 https://github.com/curie-eng/curieWrote 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/curie-eng/curie/weather)<a href="https://agentmods.dev/skills/curie-eng/curie/weather"><img src="https://agentmods.dev/badge/skills/curie-eng/curie/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/curie-eng/curie/weather"><img src="https://agentmods.dev/badge/skills/curie-eng/curie/weather.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 | $0.00041 | $0.00516 |
| Opus 5 | $0.00020 | $0.00258 |
| Sonnet 5 | $0.00008 | $0.00103 |
| Haiku 4.5 | $0.00004 | $0.00052 |
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 10d 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 — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weather
When to run
The user asks about the weather, a forecast, temperature, rain or snow chances, or whether a day suits an outdoor plan.
How to answer
- Fix the date first. Note today's date from the environment. Resolve "today", "tomorrow", or a weekday into an explicit calendar date (e.g. "Wed, July 8, 2026"). Carry that date through every step.
- Resolve the location. If the user named it, use it. If not, ask one short question instead of guessing.
- Search to find a source, not to get the answer. Run a web search like
<city> weather forecast <date>to locate a forecast page. Do NOT report numbers from the search-result summary itself. Those summaries frequently merge the wrong day or location and are the top cause of a wrong forecast. - Fetch the actual source.
WebFetchthe forecast page (prefer a national weather service such as weather.gov, or a major provider). Read the high, low, sky, and precipitation for the exact date you fixed in step 1. - Verify the date matches before you report. The fetched forecast must state the day you were asked about. If the page shows a different date, or you cannot fetch a page whose date matches, do not report a number. Say what you tried and that you could not confirm a current forecast. A plausible-looking summary for the wrong day is worse than saying you could not confirm.
- Report in two or three sentences: expected high and low, sky conditions, and precipitation chance, with the location and the explicit date. Then name the source you actually fetched.
Hard rules
- Report only numbers you read from a page you fetched for the matching date. Never report figures that came only from a search-result summary, and never cite a source you did not open.
- If nothing usable can be fetched and date-matched, say so and name what you tried. Do not fill the gap with a guess.
- Temperatures in Fahrenheit first, Celsius in parentheses.
- Keep the reply short enough to read in Slack without expanding.
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.
- 10d ago First seen · 28 lines · 41 tokens per session scan A ad5d3dc773ce
weather is a skill published in the GitHub repository curie-eng/curie (35 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 516 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 2026-08-30.
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