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Browse trending papers, search by keyword, and get paper details from Hugging Face Papers
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
Fast headless browser automation for AI agents (Rust-based with Node.js fallback). Navigate, click, type, and snapshot pages via structured commands. Triggers on browser automation, headless browsing, page snapshot. NOT for: websites needing login/cookies (use bb-browser or browser profile), or simple URL content extraction (use web_fetch/firecrawl).
Search, download, and summarize academic papers from arXiv. Built for AI/ML researchers.
将网站操作封装为 CLI 命令，覆盖 Twitter、Reddit、GitHub、知乎、B站、微博等 36 个平台 103 条命令。直接使用 OpenClaw 浏览器，无需额外扩展。触发：需要程序化操作特定平台。适用于需要与特定平台交互的场景。不适用于通用网页抓取（用 firecrawl）、无平台上下文的浏览器自动化、本地文件操作。
自动化浏览器交互：网页测试、表单填写、截图、数据提取。触发：需要导航网站、与网页交互、填写表单、截图、提取信息。需要浏览器工具可用。不适用于简单 URL 抓取（用 web_fetch）、需要完整渲染的 JS 重度站点（用 firecrawl）、批量无头自动化（用 agent-browser）。
"通过 HTTP API 控制浏览器自动化：页面导航、元素交互（点击/输入/选择）、数据提取、无障碍快照、截图、JS 执行、批量操作。触发：需要通过 API 程序化控制浏览器。不适用于：一次性简单浏览器任务（用 agent-browser）、平台特定交互（用 bb-browser）。"
适配国内 Git 平台和团队习惯的工作流规范——Gitee、Coding、极狐 GitLab、CNB 全覆盖
| name | hf-papers |
| description | Browse trending papers, search by keyword, and get paper details from Hugging Face Papers |
| metadata | {"openclaw":{"emoji":"🤗","tags":["huggingface","research","academic","papers","trending"],"requires":{"bins":[],"os":["darwin","linux","win32"]}}} |
Browse, search, and analyze papers from the Hugging Face Papers platform. Get trending papers, search by topic, and retrieve detailed metadata including community engagement and linked resources.
This skill wraps the Hugging Face Papers public API. It provides access to daily trending papers, keyword search, paper details (abstract, authors, upvotes, GitHub repos, project pages), and discussion comments. No authentication required.
For full paper text, use the returned arXiv ID with the arxiv-reader skill.
Results are cached locally (~/.cache/hf-papers/) for fast repeat access.
hf_daily_papers to see what's trending todayhf_search_papers to find papers on a topichf_paper_detail to get full metadata for a specific paperhf_paper_comments to read community discussionarxiv_fetch (from arxiv-reader) with the paper's arXiv ID for full textGet today's trending papers from Hugging Face.
Parameters:
limit (number, optional): Max papers to return (default: 20, max: 100)sort (string, optional): Sort by upvotes or date (default: upvotes)Returns: { papers: [{ id, title, summary, upvotes, authors, publishedAt, githubRepo?, projectPage?, ai_summary?, ai_keywords? }], count: number }
Example:
{ "limit": 10, "sort": "upvotes" }
Search Hugging Face Papers by keyword.
Parameters:
query (string, required): Search queryReturns: { papers: [{ id, title, summary, upvotes, authors, publishedAt, githubRepo?, projectPage?, ai_summary? }], query: string, count: number }
Example:
{ "query": "multimodal reasoning" }
Get detailed metadata for a specific paper.
Parameters:
paper_id (string, required): Paper ID (arXiv ID, e.g. 2401.12345)Returns: { id, title, summary, authors, publishedAt, upvotes, numComments, githubRepo?, githubStars?, projectPage?, ai_summary?, ai_keywords?, organization? }
Example:
{ "paper_id": "2401.12345" }
Get discussion comments for a paper.
Parameters:
paper_id (string, required): Paper ID (arXiv ID)Returns: { paper_id, comments: [{ author, content, createdAt }], count: number }
Example:
{ "paper_id": "2401.12345" }
arxiv-reader skill for full LaTeX text