paper claw

Fetch, classify, and summarize papers from multiple sources (arXiv, etc.) with AI-powered multi-language summaries and email delivery.

This skill appears to do what it says: fetch arXiv papers, classify/summarize them, and email digests. Before installing: 1) Review scripts/main.py and any network calls to confirm what data is sent to external LLM providers. 2) Use an app-specific or limited-outbound SMTP account (not your primary personal/work mailbox) until you trust the tool. 3) If you will provide optional LLM API keys, be aware that paper abstracts/full text may be transmitted to those vendors. 4) Inspect the GitHub Actions workflow and any scheduled cron/task entries before enabling automatic runs to avoid unexpected outgoing emails or network activity. 5) Ensure Python and listed dependencies (requests, feedparser, dateutil, jinja2) are acceptable for your environment.

Type: OpenClaw Skill Name: paperclaw Version: 1.0.0 The Paper Claw skill is a legitimate tool for fetching and summarizing research papers from arXiv. The code in 'example.py' and 'SKILL.md' is clearly aligned with the stated purpose, using standard Python practices like 'subprocess.run' (with list arguments to prevent shell injection) and JSON-based configuration management. While the skill requires sensitive environment variables (SMTP and LLM API keys) and has the capability to modify its own configuration files, these behaviors are necessary for its core functionality and lack any evidence of malicious intent or obfuscation.