Fetch and cache geoscience data files with hash verification and registries.
npx skills add https://github.com/SteadfastAsArt/geoscience-skills --skill pooch
Please help me install this Agent Skill. Skill: pooch Source: https://github.com/SteadfastAsArt/geoscience-skills/tree/main/pooch Command: npx skills add https://github.com/SteadfastAsArt/geoscience-skills --skill pooch
Data file fetching and caching for geoscience applications. Download sample datasets with automatic caching, checksum verification, and multiple download sources. Use when Claude needs to: (1) Download datasets from URLs or DOIs, (2) Cache files locally with automatic verification, (3) Verify file integrity with SHA256/MD5 hashes, (4) Extract compressed archives (ZIP, TAR, GZIP), (5) Create data registries for reproducible workflows, (6) Fetch from Zenodo or other repositories.
Create a registry with pooch.create(), then fetch a dataset using REGISTRY.fetch('filename.csv').
High-intent search queries and answers about installing and using this skill.
To cache and verify geoscience datasets, create a registry with pooch.create(), then fetch files using REGISTRY.fetch('filename.csv') for automatic local caching and SHA256/MD5 hash verification.
Downloading data files from a DOI or Zenodo repository with integrity checks is handled automatically by fetching datasets through a configured registry that verifies file hashes against known checksums.
Yes, you can automatically extract compressed archives like ZIP, TAR, and GZIP after downloading data, as the fetching process supports optional archive extraction alongside checksum verification.
Managing a data registry for reproducible dataset retrieval is best achieved by defining multiple download sources and registering expected file hashes, ensuring files are verified and reused locally on subsequent fetches.
Yes, this approach works for fetching NetCDF climate files and other diverse data formats by applying automatic hash verification and multi-source downloads to ensure file integrity regardless of format.
You need SHA256 or MD5 hash verification when downloading sample datasets to guarantee file integrity, prevent corrupted data from entering your analysis, and maintain strict reproducibility standards.
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