技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 1 · 125 · 0 current installs · 0 all-time installs
⭐ 1
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：alex098929/weather-forecast
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is internally consistent with its stated purpose: it fetches weather from the Open‑Meteo API using a bundled Python script, requests no credentials, and has no install step — though the SKILL.md leaves geocoding unspecified.
目的
Name/description match the included script and reference docs. The script calls only the Open‑Meteo API (a free, no‑auth service) and returns hourly temperature data as promised.
说明范围
SKILL.md correctly describes extracting locations and running the bundled script, but it instructs the agent to 'use geocoding' for city names without providing an implementation or naming a provider — this leaves the agent discretion to call an external geocoding service or to ask the user for coordinates.
安装机制
No install spec is present (instruction-only with a bundled script). The Python script uses only standard libraries and no external downloads or extracted archives are required.
证书
The skill declares no environment variables, no credentials, and no config paths. The Open‑Meteo API requires no authentication, so requested access appears proportionate.
持久
The skill is not always‑on, does not request elevated privileges, and does not modify other skills or system settings. It runs as-needed and only performs outbound requests to the Open‑Meteo API when invoked.
综合结论
This skill appears safe and does what it says: it runs a local Python script that queries api.open-meteo.com and prints a summary and raw JSON. Before installing, consider: (1) SKILL.md mentions geocoding but provides no provider — the agent may call an external geocoding API (causing outbound network requests) or ask the user for coordinates, so if you have privacy concerns supply coordinates yourself; (2) the script will make outbound HTTPS …
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Weather Forecast」。简介：This skill should be used when users ask about weather forecasts, temperature i…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/alex098929/weather-forecast/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: weather-forecast
description: This skill should be used when users ask about weather forecasts, temperature information, or need to retrieve weather data for specific locations. It provides access to the Open-Meteo weather API for getting hourly temperature forecasts based on latitude and longitude coordinates.
---
# Weather Forecast Skill
This skill enables querying weather forecasts using the Open-Meteo API, providing hourly temperature data for any location worldwide.
## When to Use This Skill
Activate this skill when:
- Users ask for weather information or forecasts
- Users inquire about temperatures at specific locations
- Users mention weather-related queries that require current or future data
- Users provide location names and expect weather details
## Skill Components
### Scripts
The `scripts/get_weather.py` script provides a reliable, reusable way to fetch weather data from the Open-Meteo API. This script is used instead of writing API calls from scratch each time because:
- API endpoints and parameters need to be consistent
- Error handling for network requests is standardized
- JSON parsing and data extraction is automated
- The script can be executed without loading into context
### References
The `references/api_response_format.md` contains documentation about the Open-Meteo API response structure, including:
- Request parameters (latitude, longitude, hourly data types)
- Response format and field meanings
- Time zone handling
- Error conditions
## Workflow
When this skill is activated:
1. **Extract location information** from the user's query. This may include:
- City names (e.g., "Beijing", "Shanghai", "New York")
- Specific coordinates (latitude, longitude)
- Descriptive locations (e.g., "my current location")
2. **Convert location to coordinates**:
- If city name is provided, use geocoding to get latitude and longitude
- If coordinates are provided directly, use them as-is
- Common city coordinates (saved in memory): Beijing (39.9042, 116.4074), Shanghai (31.2304, 121.4737), New York (40.7128, -74.0060), London (51.5074, -0.1278), Tokyo (35.6762, 139.6503)
3. **Execute the weather script** using the coordinates:
- Run `scripts/get_weather.py` with latitude and longitude parameters
- The script returns structured weather data including hourly temperatures
4. **Present results** to the user in a natural, readable format:
- Summarize key information (current temperature, high/low, forecast)
- Include relevant time information (next 24 hours or specific times mentioned)
- Use units appropriate to the context (Celsius by default, Fahrenheit if requested)
## Important Notes
- The Open-Meteo API provides hourly forecasts, not just current weather
- Temperature values are in Celsius by default
- The API is free and requires no authentication
- Coordinate precision: up to 4 decimal places for better accuracy
- If coordinates are not available for a location, inform the user and ask for coordinates or a different location
## Example Interactions
User: "What's the weather like in Beijing?"
Action: Extract "Beijing", use coordinates (39.9042, 116.4074), run script, present forecast
User: "Will it be cold in Tokyo tomorrow?"
Action: Extract "Tokyo" and "tomorrow", use coordinates (35.6762, 139.6503), run script, present tomorrow's temperature
User: "Get the temperature for latitude 52.52 and longitude 13.41"
Action: Use provided coordinates directly, run script, present hourly data
User: "How hot will it be in Shanghai today?"
Action: Extract "Shanghai", use coordinates (31.2304, 121.4737), run script, identify maximum temperature for today