菜单
Fetch paper metadata from lightweight academic sources like arXiv and save normalized paper JSON records.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Build, query, and visualize literature relationship clusters using Kuzu and Cypher.
Write lightweight graph edges from normalized paper entities into a local graph store.
Build a lightweight local vector-style index record from normalized paper data.
Normalize extracted paper entities into canonical forms with lightweight audit logs.
Generate a lightweight structured reflection JSON for a single paper record.
Orchestrate the lightweight academic pipeline by chaining paper-fetch, paper-reflect, and paper-normalize.
| name | paper-fetch |
| description | Fetch paper metadata from lightweight academic sources like arXiv and save normalized paper JSON records. |
| metadata | {"openclaw":{"emoji":"📥","requires":{"bins":["python3"]}}} |
Use this skill when the user wants to search papers by topic, keyword, or free-text query.
Workflow
python3 /root/openclaw-dev/workspace/scripts/fetch_papers.py "<query>" --max-results <N>saved_to paths as inputs for later reflectionNotes
/root/openclaw-dev/workspace/data/papers/.