An automated tool to identify duplicate text paragraphs and images between two Microsoft Word documents using fuzzy matching and MD5 hashing.
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npx clawhub@latest install docx-compare
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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This skill provides a robust solution for comparing two Word documents (.docx) to identify overlapping content. By leveraging advanced matching algorithms, it detects exact string matches, fuzzy text similarities via difflib, and identical images through MD5 checksums. It is an essential utility within the Openclaw Skills ecosystem for developers and content reviewers who need to track version changes, prevent plagiarism, or audit media assets across large document sets without manual inspection.
To use this feature with Openclaw Skills, ensure you have Python installed and then install the required dependencies:
pip install python-docx
Run the comparison script using the following command structure:
python scripts/compare_docx.py --file1 DocumentA.docx --file2 DocumentB.docx --output ./results
The skill generates structured outputs to help users organize and review comparison data efficiently:
| Output File | Content Description |
|---|---|
*_highlighted.docx |
The original document with duplicate text sections highlighted in yellow. |
*_image_duplicates.docx |
The original document containing annotations for identified duplicate images. |
*_report.txt |
A detailed plain-text log containing similarity scores and specific duplication locations. |
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