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web-hot网络热门

Agent Skill

web-hot 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:web-hot(网络热门)
来源仓库:https://github.com/lk360287680-byte/web-hot
安装命令:
openclaw skills install web-hot
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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openclaw skills install web-hot

简介

获取微博、知乎、百度、抖音、今日头条、B站等主流中文平台的实时热搜排行榜和热门话题。当用户想了解中国社交媒体平台上的热门话题、热搜或热门内容时使用。

SKILL.md

name
hot-topics
description
获取微博、知乎、百度、抖音、今日头条、B站等主流中文平台的实时热搜榜单和热门话题。Use when users want to know trending topics, hot searches, or popular content on Chinese social media platforms.
license
MIT
metadata
author
vikiboss
version
1.0
api_base
https://60s.viki.moe/v2
tags

Hot Topics & Trending Content Skill

This skill helps AI agents fetch trending topics and hot searches from major Chinese social media and content platforms.

When to Use This Skill

Use this skill when users:

  • Want to know what's trending on social media
  • Ask about hot topics or viral content
  • Need to understand current popular discussions
  • Want to track trending topics across platforms
  • Research social media trends

Supported Platforms

  1. Weibo (微博) - Chinese Twitter equivalent
  2. Zhihu (知乎) - Chinese Quora equivalent
  3. Baidu (百度) - China's largest search engine
  4. Douyin (抖音) - TikTok China
  5. Toutiao (今日头条) - ByteDance news aggregator
  6. Bilibili (B站) - Chinese YouTube equivalent

API Endpoints

PlatformEndpointDescription
Weibo/v2/weiboWeibo hot search topics
Zhihu/v2/zhihuZhihu trending questions
Baidu/v2/baidu/hotBaidu hot searches
Douyin/v2/douyinDouyin trending videos
Toutiao/v2/toutiaoToutiao hot news
Bilibili/v2/biliBilibili trending videos

All endpoints use GET method and base URL: https://60s.viki.moe/v2

How to Use

Get Weibo Hot Searches

import requests

def get_weibo_hot():
    response = requests.get('https://60s.viki.moe/v2/weibo')
    return response.json()

hot_topics = get_weibo_hot()
print("🔥 微博热搜:")
for i, topic in enumerate(hot_topics['data'][:10], 1):
    print(f"{i}. {topic['title']} - 热度: {topic['热度']}")

Get Zhihu Hot Topics

def get_zhihu_hot():
    response = requests.get('https://60s.viki.moe/v2/zhihu')
    return response.json()

topics = get_zhihu_hot()
print("💡 知乎热榜:")
for topic in topics['data'][:10]:
    print(f"· {topic['title']}")

Get Multiple Platform Trends

def get_all_hot_topics():
    platforms = {
        'weibo': 'https://60s.viki.moe/v2/weibo',
        'zhihu': 'https://60s.viki.moe/v2/zhihu',
        'baidu': 'https://60s.viki.moe/v2/baidu/hot',
        'douyin': 'https://60s.viki.moe/v2/douyin',
        'bili': 'https://60s.viki.moe/v2/bili'
    }
    
    results = {}
    for name, url in platforms.items():
        try:
            response = requests.get(url)
            results[name] = response.json()
        except:
            results[name] = None
    
    return results

# Usage
all_topics = get_all_hot_topics()

Simple bash examples

# Weibo hot search
curl "https://60s.viki.moe/v2/weibo"

# Zhihu trending
curl "https://60s.viki.moe/v2/zhihu"

# Baidu hot search
curl "https://60s.viki.moe/v2/baidu/hot"

# Douyin trending
curl "https://60s.viki.moe/v2/douyin"

# Bilibili trending
curl "https://60s.viki.moe/v2/bili"

Response Format

Responses typically include:

{
  "data": [
    {
      "title": "话题标题",
      "url": "https://...",
      "热度": "1234567",
      "rank": 1
    },
    ...
  ],
  "update_time": "2024-01-15 14:00:00"
}

Example Interactions

User: "现在微博上什么最火?"

hot = get_weibo_hot()
top_5 = hot['data'][:5]

response = "🔥 微博热搜 TOP 5:\
\
"
for i, topic in enumerate(top_5, 1):
    response += f"{i}. {topic['title']}\
"
    response += f"   热度:{topic.get('热度', 'N/A')}\
\
"

User: "知乎上大家在讨论什么?"

zhihu = get_zhihu_hot()
response = "💡 知乎当前热门话题:\
\
"
for topic in zhihu['data'][:8]:
    response += f"· {topic['title']}\
"

User: "对比各平台热点"

def compare_platform_trends():
    all_topics = get_all_hot_topics()
    
    summary = "📊 各平台热点概览\
\
"
    
    platforms = {
        'weibo': '微博',
        'zhihu': '知乎',
        'baidu': '百度',
        'douyin': '抖音',
        'bili': 'B站'
    }
    
    for key, name in platforms.items():
        if all_topics.get(key):
            top_topic = all_topics[key]['data'][0]
            summary += f"{name}:{top_topic['title']}\
"
    
    return summary

Best Practices

  1. Rate Limiting: Don't call APIs too frequently, data updates every few minutes
  2. Error Handling: Always handle network errors and invalid responses
  3. Caching: Cache results for 5-10 minutes to reduce API calls
  4. Top N: Usually showing top 5-10 items is sufficient
  5. Context: Provide platform context when showing trending topics

Common Use Cases

1. Daily Trending Summary

def get_daily_trending_summary():
    weibo = get_weibo_hot()
    zhihu = get_zhihu_hot()
    
    summary = "📱 今日热点速览\
\
"
    summary += "【微博热搜】\
"
    summary += "\
".join([f"{i}. {t['title']}" 
                          for i, t in enumerate(weibo['data'][:3], 1)])
    summary += "\
\
【知乎热榜】\
"
    summary += "\
".join([f"{i}. {t['title']}" 
                          for i, t in enumerate(zhihu['data'][:3], 1)])
    
    return summary

2. Find Common Topics Across Platforms

def find_common_topics():
    all_topics = get_all_hot_topics()
    
    # Extract titles from all platforms
    all_titles = []
    for platform_data in all_topics.values():
        if platform_data and 'data' in platform_data:
            all_titles.extend([t['title'] for t in platform_data['data']])
    
    # Simple keyword matching (can be improved)
    from collections import Counter
    keywords = []
    for title in all_titles:
        keywords.extend(title.split())
    
    common = Counter(keywords).most_common(10)
    return f"🔍 热门关键词:{', '.join([k for k, _ in common])}"

3. Platform-specific Trending Alert

def check_trending_topic(keyword):
    platforms = ['weibo', 'zhihu', 'baidu']
    found_in = []
    
    for platform in platforms:
        url = f'https://60s.viki.moe/v2/{platform}' if platform != 'baidu' else 'https://60s.viki.moe/v2/baidu/hot'
        data = requests.get(url).json()
        
        for topic in data['data']:
            if keyword.lower() in topic['title'].lower():
                found_in.append(platform)
                break
    
    if found_in:
        return f"✅ 话题 '{keyword}' 正在以下平台trending: {', '.join(found_in)}"
    return f"❌ 话题 '{keyword}' 未在主流平台trending"

4. Trending Content Recommendation

def recommend_content_by_interest(interest):
    """Recommend trending content based on user interest"""
    all_topics = get_all_hot_topics()
    
    recommendations = []
    for platform, data in all_topics.items():
        if data and 'data' in data:
            for topic in data['data']:
                if interest.lower() in topic['title'].lower():
                    recommendations.append({
                        'platform': platform,
                        'title': topic['title'],
                        'url': topic.get('url', '')
                    })
    
    return recommendations

Platform-Specific Notes

Weibo (微博)

  • Updates frequently (every few minutes)
  • Includes "热度" (heat score)
  • Some topics may have tags like "热" or "新"

Zhihu (知乎)

  • Focuses on questions and discussions
  • Usually more in-depth topics
  • Great for understanding what people are curious about

Baidu (百度)

  • Reflects search trends
  • Good indicator of mainstream interest
  • Includes various categories

Douyin (抖音)

  • Video-focused trending
  • Entertainment and lifestyle content
  • Young audience interests

Bilibili (B站)

  • Video platform trends
  • ACG (Anime, Comic, Games) culture
  • Creative content focus

Troubleshooting

Issue: Empty or null data

  • Solution: API might be updating, retry after a few seconds
  • Check network connectivity

Issue: Old timestamps

  • Solution: Data is cached, this is normal
  • Most platforms update every 5-15 minutes

Issue: Missing platform

  • Solution: Ensure correct endpoint URL
  • Check API documentation for changes

Related Resources

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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安装前确认

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