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Install in OpenClaw
/install readpaper
Description
论文阅读报告生成器,从PDF提取结构化内容并生成全中文阅读报告。触发关键词:/readpaper、论文阅读、论文分析、PDF分析
Usage Guidance
This skill appears to do what it says: extract text from PDFs, save structured content, and let an LLM generate a Chinese report. Before installing or running it, be aware it will: 1) attempt to auto-install Python packages (pymupdf, pdfplumber, pypdf) via pip at runtime — review/approve those installs and run in a controlled Python environment if possible; 2) write cache files to ~/.workbuddy/cache/readpaper and create output files in your working directory — verify expected paths and clean up if needed; 3) avoid feeding highly sensitive PDFs unless you trust the environment, since extracted text will be saved to disk and read by the agent. If you want extra assurance, inspect the full (untruncated) scripts for any URL/network-fetching code and run the tool in an isolated environment or virtualenv.
Capability Analysis
Type: OpenClaw Skill
Name: readpaper
Version: 1.0.0
The skill bundle is classified as suspicious due to the inclusion of an automatic dependency installer in `read_paper_main.py`. The script uses `subprocess.check_call` to execute `pip install` for several PDF-related libraries (pymupdf, pdfplumber, pypdf) if they are not found in the environment. While this behavior is documented in `SKILL.md` as a convenience feature for PDF analysis, the execution of system-level installation commands without explicit user confirmation is a high-risk capability that could be abused.
Capability Assessment
Purpose & Capability
The name/description (PDF-to-report) match the provided scripts: PDF extraction, structure extraction, and report generation. Required resources (none declared) align with an instruction-only skill that bundles Python scripts. The cache and output file paths are consistent with its purpose.
Instruction Scope
SKILL.md and EXAMPLE.md instruct the agent to extract PDFs and produce structured text for the AI to read — this matches the code. The docs mention analyzing online links and uploaded PDFs; the visible code implements local-file extraction and shows automatic library installation and local caching. There is a minor mismatch in examples (online fetching/upload handling isn't visible in the truncated code) but this is a functionality/implementation detail rather than suspicious data access. The instructions do not ask the agent to read unrelated system files or external endpoints.
Install Mechanism
There is no registry-level install spec, but the runtime code automatically installs missing Python packages (pymupdf/pdfplumber/pypdf) using pip via subprocess. This is expected for a Python PDF tool, but runtime pip installs carry inherent risk (downloading and executing code from PyPI). The installs come from typical package names (no custom URLs/shorteners) and are proportionate to the stated functionality.
Credentials
The skill declares no required environment variables or credentials and the code does not read any secrets or unrelated environment variables. It writes cache files under ~/.workbuddy and output report files to the working directory — behavior consistent with its stated purpose.
Persistence & Privilege
The skill does not request always:true, does not modify other skills' configs, and only persists its own cache under ~/.workbuddy. It can be invoked by the agent autonomously (default), which is normal for skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install readpaper - After installation, invoke the skill by name or use
/readpaper - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首发版本,提供从PDF自动提取论文结构化内容并生成全中文阅读报告的能力。报告包括:论文基本信息;研究背景;研究方法;图表介绍;批判性思考等。
- 支持多种PDF解析库,按文件大小智能选择最优提取方案。
- 自动检测并安装依赖库,无需手动配置环境。
- 提取论文元数据、摘要、方法、图表等内容,输出标准报告结构。
- 缓存分析结果,相同文件支持极速复用。
- 通过关键词/命令一键生成面向中文学术用户的详细论文阅读报告。
Metadata
Frequently Asked Questions
What is 论文阅读助手?
论文阅读报告生成器,从PDF提取结构化内容并生成全中文阅读报告。触发关键词:/readpaper、论文阅读、论文分析、PDF分析. It is an AI Agent Skill for Claude Code / OpenClaw, with 103 downloads so far.
How do I install 论文阅读助手?
Run "/install readpaper" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 论文阅读助手 free?
Yes, 论文阅读助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 论文阅读助手 support?
论文阅读助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 论文阅读助手?
It is built and maintained by ChenBHXMU (@chenbhxmu); the current version is v1.0.0.
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