Historical Data Compare Claw

This skill appears coherent and local-only, but a few practical checks are recommended before installing/using it: 1) Run the script in a controlled environment (e.g., a project virtualenv or container) and install dependencies (pandas, and openpyxl/xlrd if you need .xlsx support). 2) Verify that input files you pass are the files you intend to analyze (the script will read whatever file path you provide). 3) If you need to run this in a production/automated agent, review the script to ensure its output formatting and period-parsing logic match your data conventions (shift_period uses simple string parsing and may not cover all date/period formats). 4) If you require network isolation or stricter auditing, run it in an environment without network access — the code makes no network calls by itself. If you want extra assurance, run a code review or static analysis locally.