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Calliper-Compare2Markdown

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.

インストール方法を見る

含まれるファイル(3)

  • SKILL.md3.8 KB
  • agents/openai.yaml608 B
  • scripts/compare_to_markdown.js5.9 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Calliper-Compare2Markdown

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.

Installation

npx skills add PaodingAI/skills

Usage

node skills/calliper-compare2markdown/scripts/compare_to_markdown.js <left-file-path> <right-file-path> [output-markdown-path]

Execution Constraints

  • You must invoke scripts/compare_to_markdown.js directly. Do not reimplement the API flow yourself.
  • The behavior contract below explains what the script does, what it outputs, and when to use it. It is not a manual checklist for the model to imitate step by step.
  • For any task that depends on cross-document differences, you must run this script first and continue from the generated Markdown result.
  • Only inspect or modify the script implementation when the script itself is unavailable, failing, or needs a fix. Do not bypass it during normal use.

When to Use

  • Use this skill when the user wants to compare two documents and get structured differences in Markdown.
  • Use this skill when the user says things like "diff to markdown", "compare and output markdown", "导出差异 markdown", or asks for a machine-readable diff summary.
  • When downstream work depends on differences, such as clause extraction, mismatch validation, or rule checks, use this skill first.
  • When the diff content is only intermediate input, prefer writing to a working file and extract only required segments instead of returning full raw Markdown.
  • When the user explicitly asks for the original markdown diff output, return the full Markdown directly.

Environment Variables

  • 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 {}.

Script Behavior

  1. Read bearer token from PAODINGAI_API_KEY; fallback to CALLIPER_ACCESS_TOKEN; fail if both are missing.
  2. Validate both local input files exist.
  3. Send one multipart request with file1, file2, and optional config to POST /openapi/{serviceCode}{compareEndpoint} using Authorization: Bearer <token>.
  4. Parse final response and output:
    • Markdown text directly when response is markdown/plain text.
    • Otherwise, resolve markdown from common JSON fields (data.markdown, markdown) or fallback to JSON text.
  5. If output-markdown-path is provided, also write the same output text to that file while still printing to stdout.
  6. Write progress and errors to stderr and return non-zero exit code on failure.
  7. For field/table extraction tasks, parse and return only required fragments unless user explicitly asks for the full markdown diff.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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概要と使いどころ

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/...`.

日本語の概要は準備中です。原文の説明を表示しています。

PaodingAI/skills172026年7月24日 更新

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.

日本語の概要は準備中です。原文の説明を表示しています。

PaodingAI/skills172026年7月24日 更新

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