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Weather data loader (both history and forecast)

作者 minshi-veyt · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
200
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install weather-loader
功能描述
Fetch historical or forecast weather by location or coordinates via Open-Meteo. No API key needed.
安全使用建议
This skill appears internally consistent and implements exactly what it claims: fetching geocoded, historical, and forecast weather from Open‑Meteo and aggregating it. Before installing or running: (1) be aware the scripts perform outbound HTTP requests to Open‑Meteo (your IP and query strings are visible to that service); (2) install dependencies (pandas, requests) in a virtualenv or sandbox; (3) if you have strict privacy/network policies, run tests in an isolated environment first — tests perform live API calls; (4) review code if you require extra assurance (the code is short and readable); and (5) avoid enabling any skill-wide autonomous behaviors in high‑sensitivity environments without network controls (the skill needs network access to function). Overall, no secrets are requested and no unexplained or risky behavior was found.
功能分析
Type: OpenClaw Skill Name: weather-loader Version: 1.0.1 The weather-loader skill bundle is a legitimate tool for fetching weather data from the Open-Meteo API. The Python scripts (fetch_historical.py, fetch_forecast.py, and utils.py) implement standard data retrieval and processing using pandas and requests, with no evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
Name/description match included scripts and utilities. The code calls Open‑Meteo forecast, archive, and geocoding endpoints, and implements aggregation/ET calculations that fit the stated functionality.
Instruction Scope
SKILL.md instructs running the provided scripts and documents CLI options. The runtime instructions only reference relevant inputs (location/lat/lon, days, kc) and produce CSV/JSON output; they do not ask for unrelated files, credentials, or broad system data.
Install Mechanism
No install spec; this is instruction+source distribution. requirements.txt lists only pandas and requests — proportional and expected. No downloads from untrusted URLs or archive extraction are present.
Credentials
The skill declares no required environment variables or credentials. Network access to Open‑Meteo endpoints is required; headers set a benign User‑Agent. No sensitive environment/config paths are accessed.
Persistence & Privilege
always is false, agent invocation is allowed (platform default). The skill does not modify other skills or system-wide configs and does not request elevated or persistent privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install weather-loader
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /weather-loader 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
- Added compiled Python cache files for forecast, historical, and utils scripts. - Updated documentation to support custom number of days for results with a new `--days N` option: up to 30 days for historical data and up to 15 days for forecasts. - Revised usage examples and descriptions to reflect the new `--days` argument. - No API or logic changes in core scripts; update is documentation and packaging only.
v1.0.0
- Initial release of weather-loader. - Fetch historical and forecast weather data by location name or coordinates using Open-Meteo. - No API key required for data access. - Includes scripts for historical (`fetch_historical.py`) and forecast (`fetch_forecast.py`) weather queries. - Supports output of daily temperature, precipitation, evapotranspiration, and related metrics. - Location names are resolved via geocoding if coordinates are not provided.
元数据
Slug weather-loader
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Weather data loader (both history and forecast) 是什么?

Fetch historical or forecast weather by location or coordinates via Open-Meteo. No API key needed. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 200 次。

如何安装 Weather data loader (both history and forecast)?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install weather-loader」即可一键安装,无需额外配置。

Weather data loader (both history and forecast) 是免费的吗?

是的,Weather data loader (both history and forecast) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Weather data loader (both history and forecast) 支持哪些平台?

Weather data loader (both history and forecast) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Weather data loader (both history and forecast)?

由 minshi-veyt(@minshi-veyt)开发并维护,当前版本 v1.0.1。

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