MiniMax PDF Analysis V2

Analyze PDF files using MiniMax API. Supports text extraction, keyword search, and image-based VLM analysis (converts PDF pages to images first). Requires Mi...

This skill appears to implement the advertised PDF extraction/search and image-VLM flows, but it also includes a Node CLI tool that can: (1) perform web searches via the Coding Plan API, and (2) read local image files (or any file path you pass) and upload them as base64 to api.minimax.io. Before installing or using: - Do not provide your primary/privileged API key unless you trust api.minimax.io; consider a restricted or throwaway key for testing. - Avoid running the vision/web_search tools on sensitive PDFs or arbitrary local file paths (they will upload file contents). - Verify the API host and key provisioning URL (manifest references api.minimax.io; README references platform.minimaxi.com — confirm correct endpoints). - If you only need offline text extraction/search, run the Python extract/search scripts without setting the API key or invoking vision. - If you plan to allow autonomous agent invocation, know that an agent could call the Node tool or vision mode and thereby send local file contents to the remote service; restrict agent permissions or review invocation policies. If you want greater assurance, inspect and run the scripts in an isolated environment and audit network calls (e.g., with a firewall) before using with sensitive data.

Type: OpenClaw Skill Name: minimax-pdf-analysis-v2 Version: 1.0.0 The skill bundle provides legitimate tools for PDF analysis, including text extraction, keyword searching, and VLM-based image analysis using the MiniMax API. The code in `analyze_pdf.py`, `extract_pdf_text.py`, and `minimax_coding_plan_tool.js` is well-structured, uses standard libraries like PyMuPDF (fitz), and communicates only with the official MiniMax API endpoints (api.minimax.io) as described in the documentation.