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Install in OpenClaw
/install academic-paper-summarizer
Description
Extracts key points, methods, results, conclusions, and simplifies explanations from academic paper PDFs in Chinese and English.
README (SKILL.md)
academic-paper-summarizer
学术论文摘要技能，快速提取论文核心内容。
功能
- PDF 解析
- 核心观点提取
- 方法总结
- 结论概括
- 关键数据提取
- 通俗化解释
依赖
- Python 3.8+
- pypdf
- pdfplumber
使用
# 总结论文
python skills/academic-paper-summarizer/scripts/summarize.py \
--input paper.pdf \
--output summary.md \
--length "medium"
# 批量处理
python skills/academic-paper-summarizer/scripts/batch.py \
--input-dir papers/ \
--output-dir summaries/
# 提取关键数据
python skills/academic-paper-summarizer/scripts/extract.py \
--paper paper.pdf \
--fields ["method", "results", "conclusion"]
输出格式
# 论文摘要
## 基本信息
- 标题：XXX
- 作者：XXX
- 期刊：XXX
- 年份：2026
## 核心问题
研究要解决什么问题？
## 方法
采用了什么方法？
## 主要发现
关键数据和结论
## 局限性
研究的不足之处
## 通俗解释
用大白话解释研究内容
注意事项
- 支持中英文论文
- 保持学术严谨性
Usage Guidance
Do not install or run this skill expecting the scripts to exist. Ask the author or publisher for the missing code, a source repository, or an explicit install method (PyPI/GitHub release) before proceeding. If you receive the scripts, review them (or have a developer review) to ensure they do not exfiltrate PDFs or upload data to external endpoints. If you must test immediately, do so in an isolated environment (container or VM) and install only the listed Python packages from official sources. Confirm how the skill handles PDFs (local-only processing vs. remote uploads) and request a checksum or signed release for any downloadable code. If the author cannot provide the missing files or a trustworthy source, treat the skill as incomplete and avoid using it with sensitive documents.
Capability Analysis
Type: OpenClaw Skill
Name: academic-paper-summarizer
Version: 1.0.0
The skill bundle contains metadata and documentation for an academic paper summarization tool. The SKILL.md file describes standard PDF parsing and summarization features using legitimate libraries like pypdf and pdfplumber, with no evidence of malicious instructions, data exfiltration, or prompt injection attempts.
Capability Assessment
Purpose & Capability
Name and description (extract key points from academic PDFs) align with the declared dependencies (pypdf, pdfplumber). However the SKILL.md shows example commands that call scripts under skills/academic-paper-summarizer/scripts/*.py, but no code files are present in the package — the claimed capability cannot be executed as-is.
Instruction Scope
Instructions explicitly tell the agent/user to run local Python scripts on PDF files (e.g., summarize.py, batch.py, extract.py). Those scripts would read user PDF files (expected), but they are missing from the skill bundle. That mismatch is a practical and security-relevant problem because it’s unclear what code would actually run if provided later or by a remote origin.
Install Mechanism
This is an instruction-only skill with no install spec — low risk from installers. But dependencies are listed with no guidance on how to install them; the skill assumes a Python environment already prepared, which is plausible but incomplete documentation.
Credentials
The skill declares no environment variables, no credentials, and no config paths — that is proportionate for a local PDF summarizer. There is no evidence it requests unrelated secrets or cloud credentials.
Persistence & Privilege
always is false and there is no indication it requests privileged or persistent presence. Autonomous invocation is allowed by platform default; this is expected and not by itself concerning here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install academic-paper-summarizer - After installation, invoke the skill by name or use
/academic-paper-summarizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of academic-paper-summarizer:
- Supports PDF parsing and extraction of key academic paper content.
- Summarizes core ideas, methods, conclusions, and key data.
- Provides simplified explanations of research papers.
- Allows single and batch processing via command line.
- Outputs structured markdown summaries with major sections.
- Supports both Chinese and English academic papers.
Metadata
Frequently Asked Questions
What is Academic Paper Summarizer?
Extracts key points, methods, results, conclusions, and simplifies explanations from academic paper PDFs in Chinese and English. It is an AI Agent Skill for Claude Code / OpenClaw, with 99 downloads so far.
How do I install Academic Paper Summarizer?
Run "/install academic-paper-summarizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Academic Paper Summarizer free?
Yes, Academic Paper Summarizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Academic Paper Summarizer support?
Academic Paper Summarizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Academic Paper Summarizer?
It is built and maintained by eric060 (@eric060); the current version is v1.0.0.
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