nws-weather

nws-weather is a skill for Claude Code, Codex from runxhq/runx. It costs 31 tokens per session (744 once invoked), scanned A, original, Apache-2.0.

A weather data tool for retrieving public forecasts from the US National Weather Service. It can first map US latitude and longitude coordinates to the relevant forecast grid point, then fetch the forecast.

In plain words
What is it for?
Use it to find a US forecast grid point or retrieve the current National Weather Service forecast for a known grid point.
Why use it?
It provides recorded US forecast evidence through a controlled connection without requiring an API key. It is not intended for locations outside National Weather Service coverage.

Skill for Claude CodeCodex

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

Good fit Use it to find a US forecast grid point or retrieve the current National Weather Service forecast for a known grid point.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/runxhq/runx/nws-weather
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 runxhq/runx --skill nws-weather
Clone the repo
git clone --depth 1 https://github.com/runxhq/runx

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 nws-weather

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/runxhq/runx/nws-weather"><img src="https://agentmods.dev/badge/skills/runxhq/runx/nws-weather.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 744 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.
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 $0.00031 $0.00744
Opus 5.5 $0.00012 $0.00298
Sonnet 5.5 $0.00006 $0.00149
Haiku 4.5 $0.00003 $0.00074

Measured yesterday against content hash 3ca1ec58da3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nws-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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (point.mjs), 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/nws-weather/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NWS Weather

Fetch the National Weather Service forecast for an intended US location through the selected NWS connector. The default at-point runner accepts numeric latitude and longitude, reads the provider's point-to-grid mapping and then fetches that grid's forecast. No API key, office-code lookup or hand-built grid request is needed for this route.

Use this for read-only forecast evidence. Global place-name discovery and Open-Meteo data belong to open-meteo-weather; resolve the intended place first when coordinates are unknown. Do not guess a city or assume that a US place shares a grid with a nearby point. Notification, scheduling and operational actions need their own skill and authority.

How it works

  1. Supply the intended latitude and longitude. The NWS request uses four decimal places, matching the existing points contract.
  2. points.read returns the provider's gridId, gridX and gridY. A bounded domain function admits those exact fields and keeps the point, timezone, forecast URL and native readback binding in location. It never derives a grid from geography or follows an arbitrary returned URL.
  3. Only a usable mapping proceeds through the existing forecast.read operation. Its original provider packet retains forecast periods, units, generated/update times and native evidence.
  4. Return the observed data. The calling agent interprets the forecast and its coverage; this reader does not invent planning advice or publication.

The NWS API documentation explains point-to-grid discovery. Mappings can change, so reuse a saved grid only while its freshness is appropriate to the caller's job. The default reads the current mapping; it does not maintain a cache or background loop.

Reuse in graphs

forecast still accepts office, grid_x and grid_y as strings and reads that exact grid once. It never calls points or geocodes again. locate still accepts string lat and lon for a points-only read. Preserve the native provider packet and readback when handing either result downstream.

Read the full file on GitHub · 67 lines

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. yesterday Changed · -36 lines · +5 tokens per session 3ca1ec58da3f
  2. 20d ago First seen · 103 lines · 26 tokens per session scan A 55212e7a0091

Subscribe to this mod's changes

nws-weather is a skill published in the GitHub repository runxhq/runx (104 stars, last pushed yesterday), licensed Apache-2.0. It adds 31 tokens to every session and 744 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 2026-10-18.

Related

nws-weather compared with skills from other repositories

nws-weather next to 6 skills from other repositories
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nws-weatherrunxhq/runxSkill104yesterdayApache-2.0A31Claude Code, Codex
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dd-report-formatAbilityai/trinitySkill741yesterdayApache-2.0A27Claude Code, Codex
dd-risk-scoringAbilityai/trinitySkill741yesterdayApache-2.0A29Claude Code, Codex
dd-sourcingAbilityai/trinitySkill741yesterdayApache-2.0A29Claude Code, Codex
dd-verificationAbilityai/trinitySkill741yesterdayApache-2.0A35Claude Code, Codex
sagemath02loveslollipop/OpenCROWSkill10yesterdayApache-2.0A68Claude Code, Codex