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.
npx skills add L-LesterYu/OpenClaw-hot-skills-zh --skill weather-zhgit clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zhWrote 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.
[](https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/weather-zh)<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/weather-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/weather-zh/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.
<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/weather-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/weather-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00017 | $0.00682 |
| Opus 5 | $0.00009 | $0.00341 |
| Sonnet 5 | $0.00003 | $0.00136 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
weather-zh 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 9d 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.
metadata: { "openclaw": { "emoji": "🌤️", "requires": { "bins": ["curl"] } } } What it actually says
天气查询
两个免费服务，无需 API 密钥。
wttr.in（主要服务）
快速单行命令：
curl -s "wttr.in/London?format=3"
# 输出: London: ⛅️ +8°C
紧凑格式：
curl -s "wttr.in/London?format=%l:+%c+%t+%h+%w"
# 输出: London: ⛅️ +8°C 71% ↙5km/h
完整天气预报：
curl -s "wttr.in/London?T"
格式代码说明：
%c天气状况图标%t温度%h湿度%w风速风向%l地点名称%m月相
使用技巧：
- URL 编码空格：
wttr.in/New+York - 使用机场代码：
wttr.in/JFK - 单位选择：
?m（公制）?u（美制） - 仅今天：
?1· 仅当前：?0 - 生成 PNG 图片：
curl -s "wttr.in/Berlin.png" -o /tmp/weather.png
Open-Meteo（备用服务，JSON 格式）
免费、无需密钥，适合程序化调用：
curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5&longitude=-0.12¤t_weather=true"
先查询城市的经纬度坐标，再调用 API。返回包含温度、风速、天气代码的 JSON 数据。
文档：https://open-meteo.com/en/docs
常用查询示例
查询中国城市天气
# 北京天气
curl -s "wttr.in/Beijing?format=3&lang=zh"
# 上海天气
curl -s "wttr.in/Shanghai?lang=zh"
# 广州完整预报
curl -s "wttr.in/Guangzhou?T&lang=zh"
使用说明
- 快速查询：使用
format=3获取最简洁的天气信息 - 详细预报：直接访问
wttr.in/城市名获取 3 天预报 - 中文显示：添加
lang=zh参数可获取中文天气描述 - 温度单位：默认使用摄氏度，添加
?u切换到华氏度
注意事项
- wttr.in 支持中文字符，但建议使用英文城市名或拼音
- 服务免费但可能有访问频率限制
- 如需更稳定的服务，可使用 Open-Meteo API
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.
- 9d ago First seen · 89 lines · 17 tokens per session scan A a3d5d8601081
weather-zh is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It adds 17 tokens to every session and 682 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 2026-09-03.
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