xhs-monitor

What This Skill Does

The xhs-monitor skill is a specialized automation agent designed for social media competitive intelligence. It tracks specific competitor accounts on Xiaohongshu (Little Red Book) by automatically scraping new posts, parsing metadata (such as titles, text content, product tags, and broadcast timestamps), and deduplicating records to ensure high-quality data. The skill bridges the gap between manual social media monitoring and automated workflows by pushing real-time insights directly to Feishu (Lark) and providing structured data storage options.

Installation

To begin monitoring, you have two primary options. For a seamless experience, use the ClawHub CLI: clawhub install openclaw/skills/skills/cstdr/xhs-monitor. Alternatively, you can perform a manual installation by cloning the official repository from openclaw/skills, installing puppeteer-core, and configuring your local config.js and notify.js templates. Ensure your system meets the Node.js requirements and verify your browser paths, as the skill relies on a persistent debugging session to maintain session credentials.

Use Cases

This skill is perfect for digital marketers, product managers, and brand strategists who need to keep a pulse on competitor activity. Common scenarios include:

1. Trend Spotting: Monitoring competitor post frequency and content themes to identify trending topics in your niche.
2. Performance Benchmarking: Tracking how competitor product mentions or live stream schedules correlate with engagement patterns.
3. Content Strategy: Building a centralized database of competitor notes to fuel LLM-driven content analysis or marketing strategy development.
4. Operational Efficiency: Eliminating the repetitive daily manual task of checking competitor profiles by automating the discovery process.

Example Prompts

1. "OpenClaw, run the xhs-monitor scan for my tracked competitors right now and push a summary to the Feishu channel."
2. "Update my competitor list in xhs-monitor to include 'BeautyReviewer_01' and 'TechGadget_Daily'."
3. "Show me the last 3 notes scraped from 'TrendFollower' in my monitoring dashboard."

Tips & Limitations

• Session Management: The skill requires an active browser session with an authenticated Xiaohongshu login. You must launch the browser in debugging mode (--remote-debugging-port) for the agent to bypass anti-scraping measures effectively.
• Rate Limiting: Because this tool uses browser automation, avoid setting the refresh intervals too aggressively to prevent being flagged by platform security.
• Data Privacy: Ensure that your automated data collection practices comply with the terms of service of the target platform and your internal data privacy policies.
• Extensibility: While it currently handles basic parsing, you can extend the parser.js file to integrate with AI-powered analysis modules for deeper content sentiment evaluation.