Dataset Finder

What to check before installing/using this skill: - Source & provenance: the package's 'Homepage' and 'Source' are empty and SKILL.md claims a dependency on 'OpenClawCLI (clawhub.ai)' that the code does not use — ask the publisher why OpenClawCLI is required and verify the project's origin before running. - Review the code yourself: the included scripts/dataset.py performs network requests, scraping, and writes files to datasets/. Inspect it if you have sensitive local data or policies about downloads. - Credentials: Kaggle requires a local kaggle.json file (stored in ~/.kaggle/) and Hugging Face can use HF_TOKEN; provide only tokens you trust and avoid placing high-privilege secrets unless necessary. - Run in a sandbox/virtualenv: install Python packages in a virtual environment and run the script with non-root privileges. This limits risk from any unexpected behavior. - Data & license: downloaded datasets may have licensing or privacy constraints; verify dataset licenses and do not download datasets you are not authorized to use. - Incomplete/placeholder behavior: UCI repository interaction in the script is a simplified placeholder (hard-coded examples). Expect some features to be incomplete — test with small queries first. If you cannot verify the OpenClawCLI claim or the publisher identity, treat the skill with extra caution (do not run on a production machine or with privileged credentials).