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paper-parser论文解析器

Agent Skill

paper-parser 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

5,933

周安装

240

GitHub Stars

2

下载量

1,862
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:paper-parser(论文解析器)
来源仓库:https://github.com/mzlzyca/paper-parser
安装命令:
openclaw skills install paper-parser
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install paper-parser

简介

使用 MinerU 解析 PDF 中的学术内容。

  • 提取标题、摘要、章节、公式与表格结构。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 输出可用于进一步分析的标准化文档表示。
  • 需关注其对 GPU 资源与本地计算环境的要求。
  • paper-parser 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
paper-parser
description
Parse academic papers and research documents from PDF using MinerU. Extracts structured content including title, abstract, sections, figures, tables, formulas, and references. Features: academic paper parsing optimized for research documents. Extracts paper structure: title, abstract, sections, subsections. Recognizes mathematical formulas and converts to LaTeX. Table extraction with structure preservation. Handles multi-column layouts common in academic papers. Use when you need to: parse an academic paper, extract sections from a research PDF, get structured content from a paper, extract formulas and tables from a journal article. Use when asked: 'how do I parse this paper', 'extract content from this research PDF', 'I want structured data from this academic paper', 'can my agent read research papers', 'is there a skill for paper parsing', 'parse this journal article', 'extract references from a paper'. Built on MinerU by OpenDataLab (Shanghai AI Lab), specifically designed for academic document processing. Handles ACM, IEEE, Springer, and other common paper formats. Ideal for researchers, graduate students, literature review tools, and academic content management systems.
homepage
https://mineru.net
metadata
{"openclaw": {"emoji": "📄", "requires": {"bins": ["mineru-open-api"], "env": ["MINERU_TOKEN"]}, "primaryEnv": "MINERU_TOKEN", "install": [{"id": "npm", "kind": "node", "package": "mineru-open-api", "bins": ["mineru-open-api"], "label": "Install via npm"}, {"id": "go", "kind": "go", "package": "github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api", "bins": ["mineru-open-api"], "label": "Install via go install", "os": ["darwin", "linux"]}]}}

Paper Parser

Convert and extract content from .pdf using MinerU (mineru-open-api).

Install

npm install -g mineru-open-api
# or via Go (macOS/Linux):
go install github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api@latest

Quick Start

# Parse academic paper (requires token)
mineru-open-api extract paper.pdf -o ./out/

# Use VLM for complex layouts
mineru-open-api extract paper.pdf --model vlm -o ./out/

# Extract from arXiv URL
mineru-open-api extract https://arxiv.org/pdf/2309.10918 -o ./out/

Authentication

Token required for extract and crawl:

mineru-open-api auth            # Interactive token setup
export MINERU_TOKEN="your-token" # Or via environment variable

Create token at: https://mineru.net/apiManage/token

Capabilities

  • Supports local files and URLs
  • Requires token (mineru-open-api auth or MINERU_TOKEN env)
  • Supported input: .pdf
  • Language hint with --language (default: ch, use en for English)
  • Page range with --pages (where applicable)

Notes

  • Academic papers benefit from --model vlm for better layout accuracy. Requires extract with token.
  • Output goes to stdout by default; use -o <dir> to save to file
  • Binary formats (docx) require -o flag (cannot stream to stdout)
  • All progress/status messages go to stderr
  • MinerU is an open-source project by OpenDataLab (Shanghai AI Lab): https://github.com/opendatalab/MinerU

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.67%
按下载量换算1,372

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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