eCRF Designer

This package appears coherent and low-risk for its stated purpose, but take these precautions before installing or running it: - Inspect the included scripts/main.py (you already have it) and confirm it matches your expectations. It only writes a JSON file and prints to stdout. - SKILL.md mentions path validation, but the script does not sanitize the output path; avoid running it with untrusted output locations and run it in a workspace/sandbox. - The documentation references R although only Python code is present—confirm there are no missing components you expect. - Test with non-sensitive sample data first. If you plan to use real clinical data, run in an isolated environment and ensure your own data-handling controls (encryption, access controls) are applied. - If you need stricter guarantees, add explicit path validation or modify export_json to enforce an allowed output directory and reject parent-directory traversal.