china-weather

china-weather is a skill for Claude Code, Codex from dongsheng123132/u-claw. It costs 22 tokens per session (616 once invoked), scanned A, original, MIT.

A weather lookup for cities in China using the wttr.in weather service. It accepts Chinese city names and can include the lunar date, forecasts, and everyday advice such as clothing or travel tips.

In plain words
What is it for?
Use it to check current weather, forecasts for the next few days, conditions in several Chinese cities, and basic advice for travel or what to wear.
Why use it?
It gives weather information from a terminal when a weather app is not available. It is not intended for historical weather, precise hourly forecasts, overseas cities, or official emergency warnings.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to check current weather, forecasts for the next few days, conditions in several Chinese cities, and basic advice for travel or what to wear.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dongsheng123132/u-claw/china-weather
About the project

U-Claw is a portable AI workspace that places an OpenClaw assistant, its configuration, memory, sessions, and tools on a USB drive. Users set it up on supported computers and carry the workspace between them, configuring a model with their own API key. The catalogue contains skills and instructions related to using or preparing this portable setup.

dongsheng123132/u-claw · 1,748 stars · on GitHub · u-claw.org

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 dongsheng123132/u-claw --skill china-weather
Clone the repo
git clone --depth 1 https://github.com/dongsheng123132/u-claw

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 china-weather

README.md
[![agentmods](https://agentmods.dev/badge/skills/dongsheng123132/u-claw/china-weather/github.svg)](https://agentmods.dev/skills/dongsheng123132/u-claw/china-weather)
Your own site
<a href="https://agentmods.dev/skills/dongsheng123132/u-claw/china-weather"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/china-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 china-weather

Your own site · 80×15
<a href="https://agentmods.dev/skills/dongsheng123132/u-claw/china-weather"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/china-weather.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 616 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00022 $0.00616
Opus 5 $0.00011 $0.00308
Sonnet 5 $0.00004 $0.00123
Haiku 4.5 $0.00002 $0.00062

Measured 13d ago against content hash 488feb835856, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

china-weather scanned grade A with 1 finding 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 13d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **实时天气**: 通过 curl 调用 wttr.in 获取天气数据
portable/skills-cn/china-weather/SKILL.md · 89 lines

What it actually says

中国城市天气查询

通过 wttr.in 查询中国各城市天气信息,支持中文城市名输入,附带农历日期和生活建议。

功能概述

  • 实时天气: 通过 curl 调用 wttr.in 获取天气数据
  • 中文城市名: 支持直接输入"深圳"、"北京"等中文名
  • 多日预报: 支持当天及未来 3 天天气预报
  • 农历日期: 自动附带当天农历日期信息
  • 生活指数: 穿衣建议、出行提示、紫外线指数

查询方式

使用 Bash 工具执行以下命令格式:

# 基础查询(中文输出)
curl -s "wttr.in/深圳?lang=zh"

# 精简单行格式
curl -s "wttr.in/深圳?format=3&lang=zh"

# 仅今天的天气
curl -s "wttr.in/深圳?0&lang=zh"

# JSON 格式(便于解析)
curl -s "wttr.in/深圳?format=j1"

使用示例

查天气

深圳今天天气怎么样?

出行建议

明天要去杭州出差,需要带伞吗?

多城市对比

北京和上海这周末天气哪个好?想出去玩

穿衣建议

广州现在多少度?穿什么衣服合适?

适用场景

  • 快速查询国内任意城市天气
  • 出差/旅行前了解目的地天气
  • 需要穿衣或出行建议
  • 查看未来几天天气趋势
  • 终端环境下无法打开天气 App 时

不适用场景

  • 需要精确到小时的天气预报(wttr.in 精度有限)
  • 查询历史天气数据
  • 需要灾害预警等官方气象信息(请使用中国气象局官网)
  • 查询海外城市天气(本技能优化了中国城市名映射)

城市名映射

常见城市直接使用拼音或中文均可:

  • 北京 → Beijing / 北京
  • 上海 → Shanghai / 上海
  • 深圳 → Shenzhen / 深圳
  • 广州 → Guangzhou / 广州

如遇查询失败,尝试使用城市拼音替代中文名。

注意事项

  • wttr.in 为免费服务,偶尔可能响应较慢
  • 温度默认摄氏度,风速默认 km/h
  • 数据来源为 WorldWeatherOnline,仅供参考
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. 13d ago First seen · 89 lines · 22 tokens per session scan A 488feb835856

Subscribe to this mod's changes

china-weather is a skill published in the GitHub repository dongsheng123132/u-claw (1,748 stars, last pushed 5d ago), licensed MIT. It adds 22 tokens to every session and 616 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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