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easypapereasypaper 开发

Agent Skill

easypaper 用于辅助 Python 项目开发、测试和数据处理,适合在 OpenClaw 中需要阅读 Python 代码、运行测试或整理脚本流程时使用。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

5,401

周安装

232

GitHub Stars

公开资料未说明

下载量

1,893
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:easypaper(easypaper 开发)
来源仓库:https://github.com/pinkgranite/easypaper
安装命令:
openclaw skills install easypaper
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 easypaper

简介

easypaper 用于辅助 Python 项目开发和测试流程管理。

  • 适合在 OpenClaw 中阅读代码、运行测试或整理脚本逻辑。
  • 可通过元数据自动生成结构化 LaTeX 学术论文。
  • 安装命令为 openclaw skills install easypaper,需确认文件读写和执行权限。
  • 使用时应结合具体需求核验 SDK 功能边界。

SKILL.md

name
easypaper
description
Generate academic papers from metadata using EasyPaper Python SDK. Use when user wants to create structured LaTeX papers programmatically. References the EasyPaper repository, especially plugins/easypaper/ directory for detailed workflows, commands, and skills.

EasyPaper Skill

Generate structured academic papers from metadata using the EasyPaper multi-agent system via Python SDK.

Repository

Source: https://github.com/PinkGranite/EasyPaper

Primary Reference Directory: plugins/easypaper/

This directory contains comprehensive guidance for OpenClaw agents:

  • Commands: Workflow execution contracts in plugins/easypaper/commands/
  • Skills: Domain-specific skills in plugins/easypaper/skills/
  • Plugin Documentation: Setup and usage in plugins/easypaper/.claude-plugin/README.md

Installation

Python Package

Important: Install EasyPaper in an isolated environment (recommended for dependency management).

Using venv:

python -m venv easypaper-env
source easypaper-env/bin/activate  # On Windows: easypaper-env\Scripts\activate
pip install easypaper

Using conda:

conda create -n easypaper python=3.11
conda activate easypaper
pip install easypaper

Direct install (not recommended):

pip install easypaper

LaTeX Toolchain

EasyPaper requires LaTeX toolchain (pdflatex + bibtex) for PDF compilation. Install based on your system:

macOS:

# Using Homebrew (recommended)
brew install --cask mactex

# Or minimal installation
brew install basictex
sudo tlmgr update --self
sudo tlmgr install collection-basic collection-latex collection-bibtexextra

Linux (Ubuntu/Debian):

sudo apt-get update
sudo apt-get install texlive-latex-base texlive-bibtex-extra texlive-latex-extra

Linux (Fedora/RHEL):

sudo dnf install texlive-scheme-basic texlive-bibtex texlive-latex

Windows:

  • Download and install MiKTeX (full installer recommended)
  • Or use TeX Live
  • Ensure pdflatex and bibtex are in your PATH

Poppler (for PDF-to-image conversion)

macOS:

brew install poppler

Linux (Ubuntu/Debian):

sudo apt-get install poppler-utils

Linux (Fedora/RHEL):

sudo dnf install poppler-utils

Windows:

  • Download from Poppler for Windows
  • Extract and add bin directory to PATH
  • Or use conda: conda install -c conda-forge poppler

Quick Start

Recommended workflow: Prepare a metadata.json (see examples/meta.json), parse it as PaperGenerationRequest, then run with to_metadata() + to_generate_options().

Typesetter behavior (SDK + Server): PDF compilation prefers in-process Typesetter when available (SDK self-contained). If no local peer is available, EasyPaper falls back to the HTTP Typesetter endpoint (AGENTSYS_SELF_URL).

Load from file and generate

import asyncio
from pathlib import Path
from easypaper import EasyPaper, PaperGenerationRequest

async def main():
    ep = EasyPaper(config_path=str(Path("configs/dev.yaml").resolve()))
    
    request = PaperGenerationRequest.model_validate_json_file("metadata.json")
    metadata = request.to_metadata()
    options = request.to_generate_options()

    result = await ep.generate(metadata, **options)
    print(f"Status: {result.status}, Words: {result.total_word_count}")

asyncio.run(main())

Inline metadata

import asyncio
from easypaper import EasyPaper, PaperMetaData

async def main():
    ep = EasyPaper(config_path="configs/dev.yaml")
    
    metadata = PaperMetaData(
        title="My Paper Title",
        idea_hypothesis="...",
        method="...",
        data="...",
        experiments="...",
        references=["@article{...}"],
    )
    
    result = await ep.generate(metadata)
    print(f"Status: {result.status}, Words: {result.total_word_count}")

asyncio.run(main())

Key Reference Files

When working with EasyPaper, refer to these files in the repository:

Commands (Workflow Execution)

Skills (Domain Guidance)

Configuration and Examples

PaperMetaData Fields

Required:

  • title, idea_hypothesis, method, data, experiments, references

Optional:

  • style_guide (venue name), target_pages, template_path, figures, tables, code_repository, export_prompt_traces

See examples/meta.json and economist_example/metadata.json for full examples. Treat examples/meta.json as a full PaperGenerationRequest sample: use request = PaperGenerationRequest.model_validate_json_file(...), then request.to_metadata() and request.to_generate_options() for SDK generation.

Final PDF Selection

When review loop is enabled, multiple iteration PDFs can exist. Always report the final artifact using this priority:

  1. result.pdf_path (authoritative final output)
  2. Under result.output_path: iteration_*_final/**/*.pdf
  3. Under result.output_path: latest iteration_* directory PDF
  4. result.output_path/paper.pdf (last fallback)

If no PDF is found, report that final PDF is unavailable and include recent compile errors.

Streaming Generation

from easypaper import EasyPaper, PaperMetaData, EventType

async for event in ep.generate_stream(metadata):
    if event.event_type == EventType.PHASE_START:
        print(f"▶ [{event.phase}] {event.message}")
    elif event.event_type == EventType.COMPLETE:
        result = event.data["result"]
        print(f"Done! {result['total_word_count']} words")

When to Use This Skill

Use this skill when:

  • User wants to generate academic papers programmatically
  • User needs to understand EasyPaper SDK usage
  • User asks about paper generation workflows
  • User needs venue-specific formatting guidance

For detailed workflows and execution contracts, refer to files in plugins/easypaper/ directory.

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

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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

81.55%
按下载量换算1,544

安全审计

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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