Tencent SkillHub · AI

Tempest Weather

Fetches live weather data from a WeatherFlow Tempest weather station and returns structured JSON with current conditions, wind, precipitation, and lightning....

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Fetches live weather data from a WeatherFlow Tempest weather station and returns structured JSON with current conditions, wind, precipitation, and lightning....

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, references/obs_fields.md, scripts/fetch_tempest.py

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: mogglemoss
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

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 VarDescriptionTEMPEST_TOKENPersonal Access Token from tempestwx.com → Settings → Data AuthorizationsTEMPEST_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

Check for credentials — If the user hasn't provided a token and station ID, ask for them. Fetch the observation — Use bash (curl) or Python to call the REST endpoint. Parse the response — Extract the relevant fields from obs (see field reference below). Return structured JSON — Output a clean, normalized JSON object (see Output Schema). 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 StatusMeaningAction200SuccessParse and return data401Invalid tokenAsk user to re-check their token403ForbiddenToken doesn't have access to that station404Station not foundAsk user to confirm their station ID200 + 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.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs1 Scripts

SKILL.md Primary doc
README.md Docs
references/obs_fields.md Docs
scripts/fetch_tempest.py Scripts