When this skill is triggered and the complete process needs to be executed, you must first read the references/core_workflow.mdin the same directory as this skill, and fully follow the trigger rules, terminology standards, data source constraints, operating steps, self-check checklist, and precautions therein. The script path is relative to the skill directory:scripts/fetch_explosive_articles.py。
1. Overview
Xiaohongshu Hidden Viral Hit Detector is a viral hit mining tool for low-follower accounts designed specifically for content creators and marketers. It generates in real time a ranking of Xiaohongshu low-follower high-engagement notes, filtering high-quality cases with fewer than 5,000 followers and more than 500 engagements, so content creators and brands can seize in advance those viral secrets that haven't yet been drowned out by big influencers.
Through intelligent filtering and pattern analysis, you can:
- 📊 Get a viral hit notes ranking: generate in real time a ranking of Xiaohongshu low-follower high-engagement notes, filtering high-quality cases with follower count < 5,000 and engagement count > 500, suitable for quickly discovering potential content.
- 📈 Analyze viral hit patterns: conduct content insights based on ranking data, analyze common features such as titles, topics, formats, and engagement structure, helping you extract reusable viral formulas.
- 🎯 Track popular trends: reverse-infer the content trends currently rising on the platform from hidden viral hit data, and plan topic directions in advance.
Suitable for scenarios such as new bloggers looking for benchmark references, brand operations chasing hot topics, and MCNs mining potential creators.
2. Features
🎯 Core Features
- 📊 Low-Follower Viral Post Filtering: filtering by the standard of followers < 5,000 and engagement > 500, avoiding the traffic dividend of top-tier accounts and providing stronger reference value
- 🏷️ Full Category Coverage: supports 25 mainstream content categories, precisely matching your content niche
- 📈 Automatic Pattern Breakdown: generates three-dimensional analysis of title characteristics, content themes, and reusable highlights
- 🔔 Daily Subscription Push: supports pushing the latest ranking at a fixed time every day, with no need to manually query repeatedly
- 📤 Dual-Format Output: automatically generates Markdown tables + HTML visualization files
✨ Highlights
- ⏰ Flexible Date Adaptation: supports querying by specified date or fuzzy date (such as "today")
- 📂 Structured Ranking: includes serial number, note information, total engagement, likes/comments/favorites/shares, and publish time
- ⚡️ No Extra Barriers: no Xiaohongshu account or API key required; usable after installing dependencies
3. Usage Guide
Basic Usage (3 Steps)
1. Initiate a Query
Tell the tool the category and date you want to query (if no date is specified, data from the last 2 days is automatically matched according to the rules):
User: Check low-follower viral hits in the beauty category for 2026-04-20
Assistant: The data query standard is follower count below 5,000 and note engagement above 500. I have found 50 hidden viral notes for you, and will then output the ranking + pattern analysis + subscription options + HTML file package
2. View Ranking Results
By default, the TOP 20 items are output. You can enter "View More" to get all 50 items:
User: View More
Assistant: Showing you all 50 hidden viral notes
3. Subscription Push (Optional)
Reply with the corresponding number to enable daily push:
User: 1
Assistant: Xiaohongshu niche viral note subscription has been enabled for you. The daily TOP50 ranking will be pushed at 19:30 every day.
Common Commands Quick Reference
| Command | Function |
|---|---|
查[日期] [分类]爆款 |
Query the viral article rankings for a specified date/category |
查看更多 |
Display all 50 items |
订阅 |
Enable daily viral content push |
取消订阅 |
Disable the daily push service |
5. Use Cases
| Scenario | Applicable Role | Requirement Description | How to Use |
|---|---|---|---|
| New bloggers looking for benchmarks | 0-follower novice creators | Don't know what content small accounts can make to go viral; top-tier bloggers are too low as a reference | Query the low-follower viral rankings in your category every day, break down titles and content structures, and imitate by shooting similar content |
| Brand operations chasing trends | Brand Xiaohongshu operations | Need to follow the platform's latest trends and create marketing content that matches user preferences | Query comprehensive viral content in relevant categories weekly, extract recent popular keywords and content formats, and integrate them into brand promotion |
| MCN discovering potential creators | MCN content scout | Discover potential bloggers who have not yet gone viral to reduce signing costs | Check the all-category low-follower viral rankings every day, screen new accounts with high interaction in the same niche, and communicate in advance for signing |
| Content teams doing research | Content planning/operations | Need to systematically understand platform traffic patterns to guide content output | Query multi-day and multi-category data, summarize title characteristics and content patterns, and form internal reference materials |