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在 OpenClaw 中安装
/install worldclim-extract
功能描述
Extract bioclimatic variables (BIO1-BIO19) from WorldClim GeoTIFF rasters using sample coordinates (longitude/latitude). Supports automatic download of World...
安全使用建议
This skill appears coherent and implements exactly what it claims. Before running: 1) ensure you have the required Python packages (rasterio can require system libs; consider using conda or a virtualenv); 2) confirm you have sufficient disk space (downloads range ~48–650 MB per resolution and expand when unzipped); 3) note the default cache is ./worldclim_data — change it if you prefer a different location; 4) verify the download URL (https://geodata.ucdavis.edu/climate/worldclim/2_1/base) if operating under strict network policies; and 5) run in an isolated environment if you need extra caution. If you see unexpected network calls or file accesses beyond the cache/input/output paths, stop and review the script first.
能力评估
Purpose & Capability
Name/description, SKILL.md, and the included Python script all implement the same functionality: reading CSV/XLSX coordinates, (optionally) downloading WorldClim zip files from geodata.ucdavis.edu, extracting .tif rasters, sampling with rasterio, and writing outputs. Required binary (python3) is proportional.
Instruction Scope
Runtime instructions and the script only read the provided input file(s), download and extract WorldClim data to the specified cache directory, and write outputs. There are no instructions to read unrelated system files, environment variables, or to transmit data to unknown endpoints; the only network access is to the documented UC Davis WorldClim host.
Install Mechanism
No install spec is provided (instruction-only plus a script). Recommended package installs use pip for rasterio/pandas/openpyxl — expected for this task. Downloads of raster data come from a well-known WorldClim host (geodata.ucdavis.edu) and are extracted into a local cache directory.
Credentials
The skill requests no environment variables or credentials. It only requires local filesystem access to read input and write cache/output files, which is necessary for its stated function.
Persistence & Privilege
always is false and the skill does not modify other skills or agent configuration. It persists downloaded data to a local cache directory (user-configurable) — expected behavior for large raster datasets.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install worldclim-extract - 安装完成后，直接呼叫该 Skill 的名称或使用
/worldclim-extract触发 - 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
v1.0.0
- Initial release of worldclim-extract.
- Extracts WorldClim 2.1 bioclimatic variables (BIO1-BIO19) for coordinates from Excel/CSV.
- Supports automatic WorldClim raster download, batch extraction, and output to Excel/CSV.
- Offers CLI script and Python code examples; validates coordinate formats and handles common data issues.
- Default extraction: BIO1 (annual mean temp) and BIO12 (annual precipitation); configurable variables and resolutions.
- Includes detailed documentation, input/output examples, and R cross-validation guidance.
元数据
常见问题
worldclim-extract 是什么？
Extract bioclimatic variables (BIO1-BIO19) from WorldClim GeoTIFF rasters using sample coordinates (longitude/latitude). Supports automatic download of World... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 41 次。
如何安装 worldclim-extract？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install worldclim-extract」即可一键安装，无需额外配置。
worldclim-extract 是免费的吗？
是的，worldclim-extract 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
worldclim-extract 支持哪些平台？
worldclim-extract 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 worldclim-extract？
由 Dong Zhao（@zd200572）开发并维护，当前版本 v1.0.0。
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