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Agent Skill · 前端设计

mineru-pdf-extractor(mineru PDF extractor 前端)

mineru-pdf-extractor 用于补充前端设计相关能力,适合在 Local Agent 中需要让 Agent 承接前端设计相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

mineru-pdf-extractor 是前端设计类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为接触敏感数据;许可证信息还不明确,暂无第三方扫描结果,按安装量在前端设计类的 10,216 个 Skill 里排第 5,784。

总安装 606周安装 25下载 198核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mineru-pdf-extractor(mineru PDF extractor 前端)
来源仓库:https://skills.volces.com
仓库路径:mineru-pdf-extractor
安装命令:
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令,请以来源页面说明为准。

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

mineru-pdf-extractor 用于补充前端设计能力,支持 PDF 内容提取与展示。适用于开发 PDF 阅读器、注释工具或文档管理系统。具体实现依赖 MinerU 提供的 API 或本地解析能力。安装前需确认是否涉及文件上传、存储或网络请求操作。建议在受控路径下处理文件,避免安全风险与隐私泄露。

来源仓库内路径:mineru-pdf-extractor

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Local Agent;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 mineru-pdf-extractor。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mineru-pdf-extractor 怎么安装?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 mineru-pdf-extractor。

mineru-pdf-extractor 支持哪些 AI 工具?

公开资料标注支持 Local Agent。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mineru-pdf-extractor 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

mineru-pdf-extractor 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

mineru-pdf-extractor 用的人多吗?

公开数据是累计安装 606 次,近一周安装 25 次,下载 198 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mineru-pdf-extractor 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Local Agent,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。

前端设计类 Skill 对比

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vercel-composition-patterns

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3,858,81625,893需要联网MIT通过
vercel-react-native-skills

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2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

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bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
mineru-pdf-extractor

mineru PDF extractor 前端 · 本页

606—接触敏感数据未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

MinerU PDF Extractor

Extract PDF documents to structured Markdown using the MinerU API. Supports formula recognition, table extraction, and OCR.

Note: This is a community skill, not an official MinerU product. You need to obtain your own API key from MinerU.

📁 Skill Structure

mineru-pdf-extractor/
├── SKILL.md                          # English documentation
├── SKILL_zh.md                       # Chinese documentation
├── docs/                             # Documentation
│   ├── Local_File_Parsing_Guide.md   # Local PDF parsing detailed guide (English)
│   ├── Online_URL_Parsing_Guide.md   # Online PDF parsing detailed guide (English)
│   ├── MinerU_本地文档解析完整流程.md  # Local parsing complete guide (Chinese)
│   └── MinerU_在线文档解析完整流程.md  # Online parsing complete guide (Chinese)
└── scripts/                          # Executable scripts
    ├── local_file_step1_apply_upload_url.sh    # Local parsing Step 1
    ├── local_file_step2_upload_file.sh         # Local parsing Step 2
    ├── local_file_step3_poll_result.sh         # Local parsing Step 3
    ├── local_file_step4_download.sh            # Local parsing Step 4
    ├── online_file_step1_submit_task.sh        # Online parsing Step 1
    └── online_file_step2_poll_result.sh        # Online parsing Step 2

🔧 Requirements

Required Environment Variables

Scripts automatically read MinerU Token from environment variables (choose one):

# Option 1: Set MINERU_TOKEN
export MINERU_TOKEN="your_api_token_here"

# Option 2: Set MINERU_API_KEY
export MINERU_API_KEY="your_api_token_here"

Required Command-Line Tools

  • curl - For HTTP requests (usually pre-installed)
  • unzip - For extracting results (usually pre-installed)

Optional Tools

  • jq - For enhanced JSON parsing and security (recommended but not required)

- If not installed, scripts will use fallback methods - Install: apt-get install jq (Debian/Ubuntu) or brew install jq (macOS)

Optional Configuration

# Set API base URL (default is pre-configured)
export MINERU_BASE_URL="https://mineru.net/api/v4"
💡 Get Token: Visit https://mineru.net/apiManage/docs to register and obtain an API Key

📄 Feature 1: Parse Local PDF Documents

For locally stored PDF files. Requires 4 steps.

Quick Start

cd scripts/

# Step 1: Apply for upload URL
./local_file_step1_apply_upload_url.sh /path/to/your.pdf
# Output: BATCH_ID=xxx UPLOAD_URL=xxx

# Step 2: Upload file
./local_file_step2_upload_file.sh "$UPLOAD_URL" /path/to/your.pdf

# Step 3: Poll for results
./local_file_step3_poll_result.sh "$BATCH_ID"
# Output: FULL_ZIP_URL=xxx

# Step 4: Download results
./local_file_step4_download.sh "$FULL_ZIP_URL" result.zip extracted/

Script Descriptions

local_file_step1_apply_upload_url.sh

Apply for upload URL and batch_id.

Usage:

./local_file_step1_apply_upload_url.sh <pdf_file_path> [language] [layout_model]

Parameters:

  • language: ch (Chinese), en (English), auto (auto-detect), default ch
  • layout_model: doclayout_yolo (fast), layoutlmv3 (accurate), default doclayout_yolo

Output:

BATCH_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
UPLOAD_URL=https://mineru.oss-cn-shanghai.aliyuncs.com/...

local_file_step2_upload_file.sh

Upload PDF file to the presigned URL.

Usage:

./local_file_step2_upload_file.sh <upload_url> <pdf_file_path>

local_file_step3_poll_result.sh

Poll extraction results until completion or failure.

Usage:

./local_file_step3_poll_result.sh <batch_id> [max_retries] [retry_interval_seconds]

Output:

FULL_ZIP_URL=https://cdn-mineru.openxlab.org.cn/pdf/.../xxx.zip

local_file_step4_download.sh

Download result ZIP and extract.

Usage:

./local_file_step4_download.sh <zip_url> [output_zip_filename] [extract_directory_name]

Output Structure:

extracted/
├── full.md              # 📄 Markdown document (main result)
├── images/              # 🖼️ Extracted images
├── content_list.json    # Structured content
└── layout.json          # Layout analysis data

Detailed Documentation

📚 Complete Guide: See docs/Local_File_Parsing_Guide.md


🌐 Feature 2: Parse Online PDF Documents (URL Method)

For PDF files already available online (e.g., arXiv, websites). Only 2 steps, more concise and efficient.

Quick Start

cd scripts/

# Step 1: Submit parsing task (provide URL directly)
./online_file_step1_submit_task.sh "https://arxiv.org/pdf/2410.17247.pdf"
# Output: TASK_ID=xxx

# Step 2: Poll results and auto-download/extract
./online_file_step2_poll_result.sh "$TASK_ID" extracted/

Script Descriptions

online_file_step1_submit_task.sh

Submit parsing task for online PDF.

Usage:

./online_file_step1_submit_task.sh <pdf_url> [language] [layout_model]

Parameters:

  • pdf_url: Complete URL of the online PDF (required)
  • language: ch (Chinese), en (English), auto (auto-detect), default ch
  • layout_model: doclayout_yolo (fast), layoutlmv3 (accurate), default doclayout_yolo

Output:

TASK_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx

online_file_step2_poll_result.sh

Poll extraction results, automatically download and extract when complete.

Usage:

./online_file_step2_poll_result.sh <task_id> [output_directory] [max_retries] [retry_interval_seconds]

Output Structure:

extracted/
├── full.md              # 📄 Markdown document (main result)
├── images/              # 🖼️ Extracted images
├── content_list.json    # Structured content
└── layout.json          # Layout analysis data

Detailed Documentation

📚 Complete Guide: See docs/Online_URL_Parsing_Guide.md


📊 Comparison of Two Parsing Methods

FeatureLocal PDF ParsingOnline PDF Parsing
Steps4 steps2 steps
Upload Required✅ Yes❌ No
Average Time30-60 seconds10-20 seconds
Use CaseLocal filesFiles already online (arXiv, websites, etc.)
File Size Limit200MBLimited by source server

⚙️ Advanced Usage

Batch Process Local Files

for pdf in /path/to/pdfs/*.pdf; do
    echo "Processing: $pdf"

    # Step 1
    result=$(./local_file_step1_apply_upload_url.sh "$pdf" 2>&1)
    batch_id=$(echo "$result" | grep BATCH_ID | cut -d= -f2)
    upload_url=$(echo "$result" | grep UPLOAD_URL | cut -d= -f2)

    # Step 2
    ./local_file_step2_upload_file.sh "$upload_url" "$pdf"

    # Step 3
    zip_url=$(./local_file_step3_poll_result.sh "$batch_id" | grep FULL_ZIP_URL | cut -d= -f2)

    # Step 4
    filename=$(basename "$pdf" .pdf)
    ./local_file_step4_download.sh "$zip_url" "${filename}.zip" "${filename}_extracted"
done

Batch Process Online Files

for url in \
  "https://arxiv.org/pdf/2410.17247.pdf" \
  "https://arxiv.org/pdf/2409.12345.pdf"; do
    echo "Processing: $url"

    # Step 1
    result=$(./online_file_step1_submit_task.sh "$url" 2>&1)
    task_id=$(echo "$result" | grep TASK_ID | cut -d= -f2)

    # Step 2
    filename=$(basename "$url" .pdf)
    ./online_file_step2_poll_result.sh "$task_id" "${filename}_extracted"
done

⚠️ Notes

  1. Token Configuration: Scripts prioritize MINERU_TOKEN, fall back to MINERU_API_KEY if not found
  2. Token Security: Do not hard-code tokens in scripts; use environment variables
  3. URL Accessibility: For online parsing, ensure the provided URL is publicly accessible
  4. File Limits: Single file recommended not exceeding 200MB, maximum 600 pages
  5. Network Stability: Ensure stable network when uploading large files
  6. Security: This skill includes input validation and sanitization to prevent JSON injection and directory traversal attacks
  7. Optional jq: Installing jq provides enhanced JSON parsing and additional security checks

📚 Reference Documentation

DocumentDescription
docs/Local_File_Parsing_Guide.mdDetailed curl commands and parameters for local PDF parsing
docs/Online_URL_Parsing_Guide.mdDetailed curl commands and parameters for online PDF parsing

External Resources:


*Skill Version: 1.0.0* *Release Date: 2026-02-18* *Community Skill - Not affiliated with MinerU official*

平台分布

Local Agent

81.65%
按下载量换算162

安全审计

暂无安全审计结果可展示。

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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