Audit one local prospectus PDF, DOC, or DOCX through PDRouter and download the annotated document with AutoDoc NEXT2.0.
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Compare two local documents and convert differences into LLM-ready Markdown in one synchronous call. Supports PDF, Word, PPT, and image documents accepted by Calliper, and returns a structured markdown diff table suitable for change review, clause comparison, downstream extraction, and rule-based validation.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Run a JavaScript workflow that submits two local files to the calliper synchronous API through PDRouter (POST /openapi/{serviceCode}/compare/markdown by default) and returns Markdown diff output in one step. This is suitable for document comparison, change extraction, compliance checks, and feeding structured diff content into follow-up scripts.
npx skills add PaodingAI/skills
node skills/calliper-compare2markdown/scripts/compare_to_markdown.js <left-file-path> <right-file-path> [output-markdown-path]
scripts/compare_to_markdown.js directly. Do not reimplement the API flow yourself.PAODINGAI_API_KEY: Preferred bearer token used by the script.CALLIPER_ACCESS_TOKEN: Optional fallback bearer token when PAODINGAI_API_KEY is absent.PD_ROUTER_BASE_URL: Optional. Defaults to https://platform.paodingai.com/platform/.PD_ROUTER_SERVICE_CODE: Optional. Defaults to calliper.PD_ROUTER_COMPARE_ENDPOINT: Optional. Defaults to /compare/markdown. Use only when routing endpoint differs.CALLIPER_COMPARE_CONFIG: Optional. JSON string forwarded as config form field. Default is {}.PAODINGAI_API_KEY; fallback to CALLIPER_ACCESS_TOKEN; fail if both are missing.file1, file2, and optional config to POST /openapi/{serviceCode}{compareEndpoint} using Authorization: Bearer <token>.data.markdown, markdown) or fallback to JSON text.output-markdown-path is provided, also write the same output text to that file while still printing to stdout.还没有评价。欢迎分享你的使用感受。
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Audit one local prospectus PDF, DOC, or DOCX through PDRouter and download the annotated document with AutoDoc NEXT2.0.
中文简介正在准备中。当前显示原文说明。
Create and operate ChatDOC Studio knowledge bases through pd_router using a Bearer API key and JavaScript helpers. Use when Codex needs to upload one or more PDF/DOC/DOCX files, skip failed files without aborting the whole job, create a knowledge base from successful uploads, or call the ChatDOC Studio knowledge-base skill endpoints through `https://platform.paodingai.com/openapi/chatdoc-studio/...`.
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Convert unstructured documents into LLM-ready structured data. Supports PDF, Word, PPT, and images; extracts paragraphs, formulas, tables, charts, and other elements in one step; generates up to 8 levels of headings; and outputs Markdown organized in reading order. Useful for field extraction, comparison and validation, knowledge retrieval, and intelligent Q&A.
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