← 返回 Skills 市场

Academic Paper Summarizer

Name: Academic Paper Summarizer
Author: eric060

作者 eric060 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install academic-paper-summarizer

功能描述

Extracts key points, methods, results, conclusions, and simplifies explanations from academic paper PDFs in Chinese and English.

使用说明 (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

安全使用建议

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.

功能分析

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.

能力评估

ℹ 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.

ℹ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install academic-paper-summarizer
安装完成后，直接呼叫该 Skill 的名称或使用 /academic-paper-summarizer 触发
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

v1.0.0

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.

元数据

Slug academic-paper-summarizer

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题