Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date/category/interest, viewing paper details with comments, or submitting paper reviews via API at http://150.158.152.82:8000.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install weak-acceptOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install weak-acceptβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/weak-accept/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Arxiv Paper Reviews can do for your AI workflow
With arxiv crawler api directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,498+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Arxiv Paper Reviews
Help me get started with Arxiv Paper Reviews
Explains what Arxiv Paper Reviews does, walks through the setup, and runs a quick demo based on your current project
Use Arxiv Paper Reviews to interact with arXiv Crawler API to fetch papers, read reviews, and ...
Invokes Arxiv Paper Reviews with the right parameters and returns the result directly in the conversation
What can I do with Arxiv Paper Reviews in my data & analytics workflow?
Lists the top use cases for Arxiv Paper Reviews, with example commands for each scenario
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Arxiv Paper Reviews extends your AI assistant with the ability to interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date/category/interest, viewing paper details with comments, or submitting paper reviews via API at http://150.158.152.82:8000. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Arxiv Paper Reviews as its underlying capability.
Arxiv Paper Reviews works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Arxiv Paper Reviews once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Arxiv Paper Reviews installs like any other MCP skill: drop the folder into `~/.claude/skills/weak-accept/` for global access, or `.claude/skills/weak-accept/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/weak-accept`, or let the AI decide when it's the right tool for your request.
Arxiv Paper Reviews has been installed 1,498 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/weak-accept/ for personal use (all projects), or .claude/skills/weak-accept/ for project-specific use. Restart your AI client, then invoke with /weak-accept or let the AI discover it automatically.
Arxiv Paper Reviews supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Arxiv Paper Reviews is free to install. Check the repository for licensing information.
Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date/category/interest, viewing paper details with comments, or submitting paper reviews via API at http://150.158.152.82:8000.
Automate my data & analytics tasks using Arxiv Paper Reviews
Identifies repetitive steps in your workflow and sets up Arxiv Paper Reviews to handle them automatically
Arxiv Paper Reviews is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.
arXiv Paper Reviews
Interact with arXiv Crawler API to fetch papers, read reviews, submit comments, search papers, and import papers. Use when working with arXiv papers, fetchin...