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weather-retrieval

weather-retrieval is a skill for Claude Code, Codex from JetBrains/koog. It costs 41 tokens per session (171 once invoked), scanned A, original, Apache-2.0.

A procedure for retrieving current weather conditions and forecasts for a named location.

In plain words
What is it for?
Use it to report a location’s temperature, weather, and notable details such as wind, humidity, or precipitation.
Why use it?
It provides a consistent way to turn a place name into a short weather summary without guessing current conditions.

Skill for Claude CodeCodex ✓ vendor

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

not rated 4.7krepo +7 yesterday A scan SkillSpector: pass 41 tokens original Apache-2.0

Good fit Use it to report a location’s temperature, weather, and notable details such as wind, humidity, or precipitation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jetbrains/koog/weather-retrieval
View source ↗ JetBrains/koog docs.koog.ai
About the project

Koog is a Kotlin and Java framework for building AI agents that use tools, interact with people, and run multi-step workflows. JVM and Kotlin developers use it to deploy agents across platforms such as JVM, Android, iOS, JavaScript, and WebAssembly, with features for persistence, fault recovery, model switching, and monitoring. The catalogue entries provide agents, skills, and instructions for building with Koog.

JetBrains/koog · 4,653 stars · on GitHub · docs.koog.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 JetBrains/koog --skill weather-retrieval
Clone the repo
git clone --depth 1 https://github.com/JetBrains/koog

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-retrieval

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jetbrains/koog/weather-retrieval"><img src="https://agentmods.dev/badge/skills/jetbrains/koog/weather-retrieval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 171 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 $0.00041 $0.00171
Opus 5.5 $0.00016 $0.00068
Sonnet 5.5 $0.00008 $0.00034
Haiku 4.5 $0.00004 $0.00017

Measured 2mo ago against content hash e4d1247f60ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

weather-retrieval 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.

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.

integration-tests/src/jvmTest/resources/skills/weather-retrieval/SKILL.md · 19 lines

What it actually says

Get weather details for the location the user provides.

  1. Extract the location from the user request.
  2. If the location is missing or ambiguous, ask for a clearer location name.
  3. Fetch the weather data by passing the location to scripts/retrieve_weather.py
  4. Parse the JSON output from the script.
  5. Return a concise summary that includes:
    • location name
    • temperature
    • weather condition
    • any notable context (for example, wind, humidity, or precipitation)

If the script fails or returns invalid data, explain that clearly and suggest trying a more specific location.

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 · 19 lines · 41 tokens per session scan A e4d1247f60ac

Subscribe to this mod's changes

weather-retrieval is a skill published in the GitHub repository JetBrains/koog (4,653 stars, last pushed yesterday), licensed Apache-2.0. It adds 41 tokens to every session and 171 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.

agentframeworkagentic-aiagentsaiaiagentframeworkanthropic
Related

weather-retrieval compared with skills from other repositories

weather-retrieval next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
weather-retrievalJetBrains/koogSkill4.7kyesterdayApache-2.0A41Claude Code, Codex
returns-policystrands-agents/samplesSkill925yesterdayApache-2.0A36Claude Code
technical-troubleshootingstrands-agents/samplesSkill925yesterdayApache-2.0A38Claude Code
api-interface-designMohitGoyal09/AgentForgeSkill6516d agoMITA23Claude Code, Codex
exploreMohitGoyal09/AgentForgeSkill6516d agoMITA15Claude Code, Codex
Web Browseroutworked/outworkedSkill3947mo agoGPL-3.0A34Claude Code, Codex
Gmailoutworked/outworkedSkill3947mo agoGPL-3.0A38Claude Code, Codex