nicar2026_skills_in_codex_claude: Skill for Claude Code

.claude/skills/weather-forecast/SKILL.md

weather-forecast is a skill for Claude Code from amkessler/nicar2026_skills_in_codex_claude. It costs 54 tokens per session (1,392 once invoked), scanned A, original, Apache-2.0.

A tool for retrieving seven-day weather forecasts from the Open-Meteo service. It can present weather conditions, temperatures, trends, tables, and charts for a location.

In plain words
What is it for?
Use it to look up a city's coordinates, retrieve its seven-day forecast, and examine or display temperature trends and other weather data.
Why use it?
It turns a city name into coordinates and then uses those coordinates to fetch the forecast in a repeatable two-step process.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is amkessler/nicar2026_skills_in_codex_claude's own configuration. It tells Claude Code how to work on nicar2026_skills_in_codex_claude itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nicar2026_skills_in_codex_claude configures →

Reuse

Borrowing it

Nothing to install: this file belongs to amkessler/nicar2026_skills_in_codex_claude. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/amkessler/nicar2026_skills_in_codex_claude/main/.claude/skills/weather-forecast/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/amkessler/nicar2026_skills_in_codex_claude

Made for: Claude Code.

Wrote this? Show the measurements

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agentmods badge for weather-forecast

README.md
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Your own site
<a href="https://agentmods.dev/skills/amkessler/nicar2026_skills_in_codex_claude/weather-forecast"><img src="https://agentmods.dev/badge/skills/amkessler/nicar2026_skills_in_codex_claude/weather-forecast/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-forecast

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<a href="https://agentmods.dev/skills/amkessler/nicar2026_skills_in_codex_claude/weather-forecast"><img src="https://agentmods.dev/badge/skills/amkessler/nicar2026_skills_in_codex_claude/weather-forecast.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,392 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 $0.00054 $0.01392
Opus 5.5 $0.00022 $0.00557
Sonnet 5.5 $0.00011 $0.00278
Haiku 4.5 $0.00005 $0.00139

Measured 2mo ago against content hash 0506f42957e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

weather-forecast 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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/get_coordinates.py, scripts/get_forecast.py), 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.

.claude/skills/weather-forecast/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Weather Forecast Skill

This skill fetches 7-day weather forecasts from the Open-Meteo API and presents the data in both table and chart formats.

When to Use This Skill

Use this skill when:

  • User requests a weather forecast for any location worldwide
  • User wants to see temperature trends or weather data
  • User asks for a visual representation of weather conditions
  • User specifies a city name or coordinates

Standard Workflow - IMPORTANT

When given a city name, ALWAYS follow this two-step process:

  1. Use get_coordinates.py to geocode the location (DO NOT use built-in knowledge)

    uv run python skills/weather-forecast/scripts/get_coordinates.py "City, State"
    
  2. Use those coordinates with get_forecast.py

    uv run python skills/weather-forecast/scripts/get_forecast.py <lat> <lon>
    

DO NOT: Hardcode coordinates from training data or external knowledge. Always use the get_coordinates.py script to ensure the skill is self-contained and reproducible.

Prerequisites

The script requires the requests library. Install if needed:

pip install requests --break-system-packages

Workflow

Option A: Using City Names (US Cities Only)

For the 1000 largest US cities, use the get_coordinates.py helper script:

Step 1: Get coordinates from city name

uv run python skills/weather-forecast/scripts/get_coordinates.py "City, State"

Accepts formats:

  • "Philadelphia, PA" (city, state abbreviation)
  • "Trenton, New Jersey" (city, full state name)
  • "Denver" "CO" (separate arguments)

Step 2: Get forecast using the coordinates

# Combined workflow
uv run python skills/weather-forecast/scripts/get_forecast.py $(uv run python skills/weather-forecast/scripts/get_coordinates.py "Philadelphia, PA")

Option B: Using Coordinates Directly

For international locations or US cities not in the database:

Step 1: Get Coordinates

  • Search the web for "{city name} coordinates" to find the lat/lon
  • Or ask the user to provide coordinates directly

Read the full file on GitHub · 169 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. 2mo ago First seen · 169 lines · 54 tokens per session scan A 0506f42957e5

Subscribe to this mod's changes

weather-forecast is a skill published in the GitHub repository amkessler/nicar2026_skills_in_codex_claude (21 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,392 once invoked, about $0.0002 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 2026-08-30.

Related

weather-forecast compared with skills from other repositories

weather-forecast next to 6 skills from other repositories
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