Release20260324

Academic literature discovery and citation network analysis. Multi-source search across arXiv, DBLP, Semantic Scholar, and Google Scholar. Build citation net...

This project is internally consistent and implements the advertised features. Before installing: (1) inspect install.sh (it will pip install packages and may create a symlink in ~/.claude if you choose global install); prefer using a Python virtualenv to avoid system-wide changes; (2) you do not need to set any API keys to use core functionality, but only provide LLM or S2 keys if you understand the implications (these keys grant the tool access to external services); (3) the tool may scrape Google Scholar (via the scholarly package) which can be slow, rate-limited, or against site terms — expect possible blocking; (4) the CLI writes graph JSON files to disk and can start a local HTTP server (serve) — do not expose that server to untrusted networks; (5) if you need higher assurance, review services/llm_client.py and networking code for any unexpected external endpoints before providing credentials or running the tool.

Type: OpenClaw Skill Name: release20260324 Version: 1.0.0 OpenPaperGraph is a comprehensive academic research tool for literature discovery and citation network analysis. It integrates with multiple data sources (arXiv, Semantic Scholar, Google Scholar, etc.) and provides features like PDF reference extraction, interactive graph visualization, and LLM-powered summaries. The code is well-documented and its behavior is strictly aligned with its stated purpose, with no evidence of malicious intent, data exfiltration, or unauthorized execution. The bundle includes a local HTTP server for interactive graph management and an installer script that follows standard OpenClaw skill registration patterns.