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fourierer

paper-reading

作者 Fourier · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install paper-reading-fourier
功能描述
Read academic papers from local PDF files, arXiv URLs, or paper titles and generate structured reading notes in Chinese. Use when the user provides a PDF fil...
使用说明 (SKILL.md)

Paper Reading

Read a paper and produce structured notes following the standard template.

User Input Required

Before starting, the user must provide:

  1. 论文信息: 本地 PDF 路径、arXiv URL 或论文标题(三选一)
  2. PDF 存储路径: 下载/保存 PDF 的绝对路径(如 /tmp/paper.pdf
  3. 笔记输出路径: 最终生成的笔记文件的绝对路径(如 /Users/xxx/notes/Paper Title.md

Workflow

1. Fetch the PDF

Given a local path, arXiv URL, or paper title from the user:

python scripts/fetch_pdf.py \x3Cpath_or_url_or_title> -o \x3Cpdf_output_path>
  • Local path: validates existence, returns absolute path
  • arXiv URL: downloads PDF (supports both /abs/ and /pdf/ URL formats)
  • Paper title: searches arXiv API by title, downloads the most relevant result
  • -o 参数指定 PDF 存储的绝对路径(由用户提供)
  • Prints the fetched PDF path to stdout

2. Extract PDF Content

pip install pdfplumber  # if not already installed
python scripts/read_pdf.py \x3Cpdf_path> [-p \x3Cpage_range>] [-o \x3Cextracted_text_path>]
  • Extracts text and tables from the PDF
  • Optionally specify page range (e.g. -p 1-10 or -p 3)
  • -o 可选,指定提取文本的输出路径;不指定则输出到 stdout
  • Outputs markdown-formatted text

3. Read and Analyze

Read the extracted text. For papers with complex layouts (columns, figures, equations), supplement extraction with direct PDF reading using the pdf tool if available, or ask the user to clarify specific sections.

4. Generate Notes

Produce notes following the standard template.

Note Structure (summary)

# 一、基本信息
1.paper:《标题》
2.github:链接或未知
3.会议:会议名或未知

# 二、文章理解
## 1. 研究背景与动机 (Motivation)
## 2. 核心问题 (Problem Statement)
## 3. 解决方法 (Methodology)
## 4. 实验结果 (Experiments)

Key Requirements

  • Language: Chinese with English technical terms preserved
  • Formulas: LaTeX format ($...$ inline, $$...$$ block)
  • Images: preserve original image URLs with ![](url) format
  • Key concepts: bold with **...**
  • Deep dives / proofs / interview-level knowledge: wrap in :::info blocks
  • PyTorch code: use python code blocks
  • Strict 4-level heading hierarchy: # → ## → ### → ####
  • Numerical results: use specific numbers to show improvements

5. Save Notes

Save the generated notes to the path specified by the user (e.g. /Users/xxx/notes/Paper Title.md).

安全使用建议
This skill appears to do what it says: fetch PDFs from arXiv or local files, extract text with pdfplumber, and generate notes. Before using it, (1) confirm you are comfortable giving absolute file paths for download and output because the scripts will read/write those paths; (2) be aware 'pip install pdfplumber' will fetch a package from PyPI (run it in a virtualenv if you prefer); (3) the arXiv search uses export.arxiv.org (HTTP) and downloads from arxiv.org — network traffic goes to those domains; (4) review the two included Python scripts yourself (they are small and readable) before running, and avoid supplying sensitive PDFs you don't want processed. If you need the skill to fetch papers from other repositories or require stricter network/privacy guarantees, request those changes from the author.
功能分析
Type: OpenClaw Skill Name: paper-reading-fourier Version: 1.0.2 The skill bundle provides a legitimate workflow for fetching, reading, and summarizing academic papers from arXiv or local files. The Python scripts (fetch_pdf.py and read_pdf.py) use standard libraries like urllib and pdfplumber for their intended purposes without any evidence of data exfiltration, malicious execution, or persistence mechanisms. The instructions in SKILL.md are well-defined and focused on the task of generating structured research notes in Chinese, and the provided reference files serve as appropriate templates and examples.
能力评估
Purpose & Capability
Name/description match the included artifacts: scripts implement fetching from arXiv or local path and text extraction; the provided templates and references align with generating structured Chinese notes. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md stays within the stated purpose (fetch, extract, analyze, save). It instructs running the included Python scripts and optionally running 'pip install pdfplumber'. One small note: SKILL.md mentions supplementing extraction with a 'pdf tool if available' (vague) and requires absolute file paths from the user, which means the agent/process will have read/write access to any paths the user supplies—expected for this task but worth the user's attention.
Install Mechanism
No install spec is provided (instruction-only) and the included scripts are small, local Python files. The only runtime dependency is pdfplumber, which SKILL.md suggests installing via pip — a standard package install (user-initiated). There are no downloads from untrusted third-party URLs in the install flow.
Credentials
The skill requires no environment variables, credentials, or config paths. It only reads/writes file paths supplied by the user and makes network requests to arXiv (expected for title/URL lookup and PDF download).
Persistence & Privilege
The skill is not set to always:true and uses default invocation behavior. It does not attempt to modify other skills, system-wide config, or persist credentials; it only writes output files to user-specified locations.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install paper-reading-fourier
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /paper-reading-fourier 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.2
- Initial metadata file (_meta.json) added for the skill. - Documentation and code examples updated to use relative script paths (e.g., python scripts/fetch_pdf.py), improving portability and clarity.
v1.0.0
Initial release — enables structured, Chinese-language reading notes from PDFs, arXiv, or titles. - New scripts to fetch PDFs by local path, arXiv URL, or paper title, and to extract text from PDFs. - Standardized note template and output structure in Chinese, preserving English technical terms. - Automatic workflow for searching, downloading, extracting, and summarizing papers. - Old reference files (output-cn.md, venue-tiers.md) removed; new reference and template files added.
元数据
Slug paper-reading-fourier
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

paper-reading 是什么?

Read academic papers from local PDF files, arXiv URLs, or paper titles and generate structured reading notes in Chinese. Use when the user provides a PDF fil... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 119 次。

如何安装 paper-reading?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install paper-reading-fourier」即可一键安装,无需额外配置。

paper-reading 是免费的吗?

是的,paper-reading 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

paper-reading 支持哪些平台?

paper-reading 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 paper-reading?

由 Fourier(@fourierer)开发并维护,当前版本 v1.0.2。

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