Research Paper Monitor

科研文献智能监测与摘要推送系统。自动监测多个学术信源（arXiv、PubMed、CNKI等），根据用户关注的领域和关键词采集最新论文，生成中文摘要并推送。适用于需要跟踪学术前沿的科研工作者、研究生、教师等。使用场景包括：(1) 定时监测特定研究领域的最新论文，(2) 根据关键词筛选高相关度论文，(3) 自动生成论...

This package appears to do what it says: local collection, scoring, Chinese summarization templates, and local archiving. Before running: (1) review monitor.py and config.py to confirm the target directories and that you’re comfortable with files being written under ~/.openclaw; (2) only provide webhooks, SMTP, or Zotero API keys if you intend to enable those optional integrations — those will send data off your machine; (3) run the scripts under a regular user (not root) and test with a minimal configuration (few keywords, disabled notifications) to observe network requests and outputs; (4) if you need stronger guarantees, inspect or run the code in a sandbox/container and consider replacing the template summarization with your preferred local/remote LLM integration after reviewing its privacy implications.

Type: OpenClaw Skill Name: research-paper-monitor Version: 1.0.2 The research-paper-monitor skill is a legitimate tool designed to automate the tracking and summarization of academic papers from sources like arXiv and PubMed. The bundle includes scripts for user configuration (config.py), paper monitoring (monitor.py), and report generation (generate_digest.py). The code uses standard Python libraries to interact with public APIs and stores data locally in the user's home directory (~/.openclaw/). While some features like Feishu notifications and AI summarization are currently implemented as placeholders or mocks, the logic is transparent, lacks obfuscation, and shows no signs of malicious intent such as data exfiltration or unauthorized persistence.