weather

weather is a skill for Claude Code, Codex from vellum-ai/vellum-assistant. It costs 11 tokens per session (751 once invoked), scanned A, original, MIT.

A weather lookup tool for current conditions and forecasts for a named location.

In plain words
What is it for?
Use it to retrieve temperatures, conditions, wind, humidity, precipitation chances, and multi-day forecasts in Celsius or Fahrenheit.
Why use it?
It removes the need to find and interpret weather data from a separate service.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to retrieve temperatures, conditions, wind, humidity, precipitation chances, and multi-day forecasts in Celsius or Fahrenheit.

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Install with agentmods
npx agentmods add skills/vellum-ai/vellum-assistant/weather
About the project

Vellum Assistant is a personal AI assistant that remembers information about users, learns their preferences, and takes actions across connected apps. It is intended for people who want an assistant that can manage conversations, unfinished work, and proactive notifications over time. The catalogue skills, hooks, instruction, and setting configure or extend how the assistant works.

vellum-ai/vellum-assistant · 1,234 stars · on GitHub · vellum.ai

Install

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.

Any agent
npx skills add vellum-ai/vellum-assistant --skill weather
Clone the repo
git clone --depth 1 https://github.com/vellum-ai/vellum-assistant

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for weather

README.md
[![agentmods](https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/weather/github.svg)](https://agentmods.dev/skills/vellum-ai/vellum-assistant/weather)
Your own site
<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/weather"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/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.

agentmods 80×15 button for weather

Your own site · 80×15
<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/weather"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/weather.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 751 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00011 $0.00751
Opus 5 $0.00005 $0.00376
Sonnet 5 $0.00002 $0.00150
Haiku 4.5 $0.00001 $0.00075

Measured 9d ago against content hash 0fe933fab3a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 9d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/__tests__/get-weather.test.ts, scripts/service.ts, scripts/weather-cli.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/weather/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a weather assistant. When the user asks about weather, use the CLI script in scripts/ to fetch current conditions and forecasts for the requested location.

Usage

Run the weather command via:

bun run scripts/weather-cli.ts "<location>" [--units celsius|fahrenheit] [--days <n>]

Examples

  • Current conditions: bun run scripts/weather-cli.ts "San Francisco"
  • Multi-day forecast: bun run scripts/weather-cli.ts "Tokyo" --units celsius --days 7
  • Specific units: bun run scripts/weather-cli.ts "London" --units celsius

Output Format

The command returns JSON with:

{
  "ok": true,
  "text": "Human-readable weather summary",
  "data": {
    "location": { "name": "...", "latitude": ..., "longitude": ... },
    "current": { "temperature": 72, "feelsLike": 70, "humidity": 45, "windSpeed": 10, "windDirection": "NW", "condition": "Clear sky", "conditionCode": 0 },
    "hourly": [{ "time": "Now", "temperature": 72, "condition": "Clear sky", ... }],
    "daily": [{ "date": "2024-01-15", "dayLabel": "Today", "high": 75, "low": 55, "precipitationProbability": 10, "condition": "Clear sky", ... }],
    "units": { "temperature": "F", "speed": "mph" }
  }
}

Presenting Results

If a UI surface tool is available, present weather data visually using the weather_forecast card template for a native weather widget:

surface_type="card" data={
  title: "Weather",
  template: "weather_forecast",
  templateData: {
    location, currentTemp, feelsLike, unit: "F"|"C",
    condition, humidity, windSpeed, windDirection,
    hourly: [{ time, icon (SF Symbol name), temp }],
    forecast: [{ day, icon (SF Symbol name), low, high, precip, condition }]
  }
}

Map weather condition codes to SF Symbol names (e.g. "sun.max.fill", "cloud.rain.fill", "cloud.fill", "snowflake").

Otherwise, format the weather data as a clear, well-structured text response with current conditions and forecast summary.

Temperature Units

  • Default unit is Fahrenheit. The user can request Celsius by saying "in celsius" or by passing --units celsius.

Read the full file on GitHub · 80 lines

Files

What ships with it

4 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.

Changes

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.

  1. 9d ago First seen · 80 lines · 11 tokens per session scan A 0fe933fab3a9

Subscribe to this mod's changes

weather is a skill published in the GitHub repository vellum-ai/vellum-assistant (1,234 stars, last pushed today), licensed MIT. It adds 11 tokens to every session and 751 once invoked, about $0.0001 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 2026-09-03.

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