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tempest-weather-wf暴风雨天气 wf

Agent Skill

tempest-weather-wf 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

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周安装

603

GitHub Stars

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下载量

4,969
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tempest-weather-wf(暴风雨天气 wf)
来源仓库:https://github.com/mogglemoss/tempest-weather-wf
安装命令:
openclaw skills install tempest-weather-wf
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install tempest-weather-wf

简介

WeatherFlow Tempest 气象站的 JSON 格式数据适配器。

  • 输出包含风力、降水、闪电等综合天气指标。
  • 适合集成进第三方气象可视化平台使用。tempest-weather-wf 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 依赖公网可达性访问外部 RESTful API。
  • 建议缓存结果减少重复请求提升响应速度。

SKILL.md

name
tempest-weather
description
Fetches live weather data from a WeatherFlow Tempest weather station and returns structured JSON with current conditions, wind, precipitation, and lightning. Use when the user asks about current weather, outdoor conditions, their Tempest station, wind speed, rain, lightning nearby, or any live sensor readings — even if they don't mention Tempest or API explicitly.
version
1.0.0
metadata
openclaw
emoji
🌤️
homepage
https://weatherflow.github.io/Tempest/api/
primaryEnv
TEMPEST_TOKEN
requires
env
bins
anyBins

Tempest Weather Skill

Fetches on-demand weather data from a WeatherFlow Tempest station via the REST API and returns clean, structured JSON.

Configuration

Credentials are read from environment variables — never hardcoded:

Env VarDescription
TEMPEST_TOKENPersonal Access Token from tempestwx.com → Settings → Data Authorizations
TEMPEST_STATION_IDNumeric station ID (find it by calling the /stations endpoint with your token)

If either env var is missing, inform the user and show them how to set them:

export TEMPEST_TOKEN="your_token_here"
export TEMPEST_STATION_ID="your_station_id_here"

Primary Endpoint

GET https://swd.weatherflow.com/swd/rest/observations/station/{STATION_ID}?token={TEMPEST_TOKEN}

This returns the latest observation for the station, including all sensor data.

Fallback (by device): GET https://swd.weatherflow.com/swd/rest/observations/?device_id={DEVICE_ID}&token={TEMPEST_TOKEN}

To list available stations/devices: GET https://swd.weatherflow.com/swd/rest/stations?token={TEMPEST_TOKEN}


Workflow

  1. Check for credentials — If the user hasn't provided a token and station ID, ask for them.
  2. Fetch the observation — Use bash (curl) or Python to call the REST endpoint.
  3. Parse the response — Extract the relevant fields from obs (see field reference below).
  4. Return structured JSON — Output a clean, normalized JSON object (see Output Schema).
  5. Handle errors gracefully — 401 = bad token, 404 = station not found, empty obs = no data yet.

Fetching with curl

curl -s "https://swd.weatherflow.com/swd/rest/observations/station/${STATION_ID}?token=${TEMPEST_TOKEN}"

Fetching with Python

import requests, json

url = f"https://swd.weatherflow.com/swd/rest/observations/station/{STATION_ID}"
resp = requests.get(url, params={"token": TEMPEST_TOKEN})
resp.raise_for_status()
data = resp.json()

Output Schema

Always return data in this normalized JSON structure:

{
  "station_id": 12345,
  "station_name": "My Backyard",
  "timestamp": "2024-01-15T14:32:00Z",
  "timestamp_epoch": 1705329120,
  "conditions": {
    "temperature_c": 18.5,
    "temperature_f": 65.3,
    "humidity_pct": 62,
    "pressure_mb": 1013.4,
    "pressure_trend": "steady"
  },
  "wind": {
    "speed_avg_ms": 3.2,
    "speed_avg_mph": 7.2,
    "speed_lull_ms": 1.1,
    "speed_gust_ms": 5.8,
    "speed_gust_mph": 13.0,
    "direction_deg": 247,
    "direction_cardinal": "WSW"
  },
  "precipitation": {
    "rain_accumulated_mm": 0.0,
    "rain_daily_mm": 2.4,
    "precip_type": "none",
    "precip_analysis": "rain_check_on"
  },
  "lightning": {
    "strike_count": 0,
    "avg_distance_km": null
  },
  "solar": {
    "uv_index": 3,
    "solar_radiation_wm2": 412,
    "illuminance_lux": 28500
  },
  "battery_volts": 2.42,
  "data_source": "tempest_rest_api"
}

Field Reference

See references/obs_fields.md for the complete field mapping from Tempest API array indices to human-readable names, units, and conversion formulas.


Conversion Helpers

  • °C → °F: (C * 9/5) + 32
  • m/s → mph: ms * 2.237
  • Degrees → Cardinal: Read the lookup table in references/obs_fields.md
  • Precip type codes: 0 = none, 1 = rain, 2 = hail
  • Precip analysis codes: 0 = none, 1 = rain_check_on, 2 = rain_check_off

Error Handling

HTTP StatusMeaningAction
200SuccessParse and return data
401Invalid tokenAsk user to re-check their token
403ForbiddenToken doesn't have access to that station
404Station not foundAsk user to confirm their station ID
200 + empty obsNo dataStation may be offline; inform user

If obs is an empty array or null, report: "Station found but no recent observations available — the device may be offline."


Example User Interactions

"What's the weather at my Tempest station?" → Fetch latest obs, return full JSON output.

"Is it raining?" → Fetch obs, check precipitation.precip_type and precipitation.rain_accumulated_mm, return focused JSON.

"Any lightning nearby?" → Fetch obs, check lightning.strike_count and lightning.avg_distance_km, return lightning sub-object.

"How windy is it?" → Return wind sub-object including gust, lull, avg, direction.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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72.46%
按下载量换算3,601

安全审计

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可疑

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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