Skill PDF Orgnizer

Organizes PDFs by extracting metadata and classifying into topics, renaming files, and sorting into topic-based folders using AI analysis.

This skill appears to do what it says: it reads PDFs locally, sends excerpts to OpenAI or the Kimi API for analysis, then creates folders and moves/renames files. Before running: (1) Be aware that document content (up to the configured max_chars) will be transmitted to a third‑party API—do not use on sensitive or confidential PDFs unless you accept that exposure. (2) The API key is stored in config.json; keep that file secure and do not commit it to version control. (3) Run in dry_run mode first to preview changes and ensure naming/foldering meets your expectations. (4) Back up your PDFs (or run on a copy) before allowing actual moves. (5) Note the Kimi provider uses https://api.moonshot.cn as the base URL—confirm you trust that provider if you choose it. If you want additional assurance, you can audit the code locally (it’s included) and run the tool in a sandbox or with a small sample set first.

Type: OpenClaw Skill Name: skill-pdf-orgnizer Version: 1.0.0 The PDF Organizer skill is a well-structured tool designed to categorize and rename PDF files using LLM analysis (OpenAI or Kimi). The code uses standard libraries like PyPDF2 for text extraction and shutil for file operations, with no evidence of malicious intent, data exfiltration, or unauthorized command execution across files like pdf_organizer.py and content_analyzer.py.