retail-trade-report-generator

This package looks coherent and not malicious, but take these practical steps before running it: 1) Review the Python code yourself (or have a developer do so) to confirm the column/row indices and sheet names match your real Excel exports — the script uses hard-coded row ranges and sheet names which may need adjustment. 2) Run it in a controlled environment (local VM or container) and install dependencies from official sources (pip install pandas openpyxl). 3) Provide only the intended input files and the store_mapping.csv; the skill reads only files in the specified input directory and writes an output Excel. 4) Test with sample data to verify results and edge-case handling (e.g., missing sheets, date parsing). If you need the skill to run autonomously on a platform, ensure the runtime includes the required Python packages or add an install step that pins trusted package versions.