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pdf-name-anonymizer - Claude MCP Skill
Advanced PDF text processing skill that identifies and anonymizes all personal names in research papers and documents by replacing them with sequential anonymous identifiers
SEO Guide: Enhance your AI agent with the pdf-name-anonymizer tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to advanced pdf text processing skill that identifies and anonymizes all personal names in research pap... Download and configure this skill to unlock new capabilities for your AI workflow.
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Documentation
SKILL.md# PDF Name Anonymizer Skill ## Purpose This skill specializes in anonymizing personal names in PDF documents by replacing them with sequential anonymous identifiers Anonymous 1, Anonymous 2, etc. while preserving the documents structure and readability. ## Core Capabilities ### Name Detection - Identifies personal names in academic papers and research documents - Recognizes author names, cited researchers, and mentioned individuals - Distingui shes between personal names and institutional/organization names - Handles various name formats First Last, Last, First, initials, etc. ### Anonymization Strategy - Replaces identified names with Anonymous X format where X is sequential - Maintains consistency same person = same anonymous identifier throughout - Preserves references and citations structure - Keeps institutional affiliations and organizations unchanged ### PDF Processing - Extracts text content from PDF while preserving formatting - Processes both main text and reference sections - Handles multi-column layouts and complex document structures - Generates new PDF with anonymized content ## Implementation Process 1. PDF Text Extraction: Extract all text content from the uploaded PDF 2. Name Identification: Use pattern recognition to identify personal names 3. Mapping Creation: Create consistent mapping of real names to anonymous identifiers 4. Text Replacement: Replace all instances of identified names 5. PDF Generation: Create new PDF with anonymized content 6. Quality Check: Verify anonymization completeness and document integrity ## Technical Requirements - PDF processing libraries PyPDF2, pdfplumber, reportlab - Name recognition patterns and NLP techniques - Text replacement al gorithms with context preservation - PDF generation capabilities ## Output Specifications - New PDF file with all personal names anonymized - Mapping log showing original names and their anonymous assignments - Preservation of document structure, citations, and academic formatting
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Information
- Repository
- mickdarling/dollhouse-portfolio
- Author
- mickdarling
- Last Sync
- 1/14/2026
- Repo Updated
- 10/25/2025
- Created
- 1/13/2026
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