malue-ai/mineru-pdf
instances/xiaodazi/skills/mineru-pdf/SKILL.md
Parse PDF documents locally into structured Markdown/JSON using MinerU. CPU-only, privacy-first.
$ install --global
skillsauthnpx skillsauth add malue-ai/dazee-small mineru-pdfInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 6, 2026, 10:58 PM82.9s1 file scanned
SKILL.md
- name:
- mineru-pdf
- description:
- Parse PDF documents locally into structured Markdown/JSON using MinerU. CPU-only, privacy-first.
- dependency_level:
- lightweight
- os:
- [common]
- backend_type:
- local
- user_facing:
- true
- python_packages:
- ["magic-pdf"]
MinerU PDF 解析
本地解析 PDF 文档为结构化 Markdown 或 JSON，保留标题层级、表格、列表等结构。CPU 运行，数据不出本机。
使用场景
- 用户说「帮我把这个 PDF 转成 Markdown」「提取这个 PDF 的内容」
- 需要从 PDF 中提取结构化文本用于后续分析
- 扫描件 PDF 需要 OCR 提取文字（配合 OCR 类 Skill）
- 批量处理多个 PDF 文件
与其他 PDF 处理 Skill 的区别
| 工具 | 擅长 | 局限 | |---|---|---| | nano-pdf | 简单文本提取、PDF 元数据 | 不保留结构 | | pdf-toolkit | 合并/拆分/加密/水印 | 不做内容解析 | | mineru-pdf | 结构化解析（标题/表格/列表） | 安装包较大 |
优先使用 mineru-pdf 做内容提取，pdf-toolkit 做文件操作。
执行方式
安装
pip install magic-pdf
基本用法
magic-pdf -p /path/to/document.pdf -o /path/to/output/ -m auto
参数说明：
-p：输入 PDF 路径-o：输出目录-m：模式选择auto：自动判断（推荐）txt：纯文本 PDFocr：扫描件 PDF
Python API
from magic_pdf.data.data_reader_writer import FileBasedDataWriter, FileBasedDataReader
from magic_pdf.pipe.UNIPipe import UNIPipe
reader = FileBasedDataReader("")
writer = FileBasedDataWriter(output_dir)
pdf_bytes = reader.read(pdf_path)
pipe = UNIPipe(pdf_bytes, model_list=[], image_writer=writer)
pipe.pipe_classify()
pipe.pipe_analyze()
pipe.pipe_parse()
md_content = pipe.pipe_mk_markdown(image_dir, drop_mode="none")
输出内容
解析后在输出目录生成：
*.md：Markdown 格式的结构化内容images/：提取的图片*.json：结构化元数据
输出规范
- 保留原文档的标题层级（H1-H6）
- 表格转换为 Markdown 表格
- 图片提取并以
引用 - 页码标注在章节末尾
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