chinese-lottery-predict

📁 konata9/chinese-lottery-predict-skills 📅 11 days ago
28
总安装量
9
周安装量
#13111
全站排名
安装命令
npx skills add https://github.com/konata9/chinese-lottery-predict-skills --skill chinese-lottery-predict

Agent 安装分布

claude-code 7
opencode 6
codex 5
kimi-cli 2
replit 1

Skill 文档

Chinese Lottery Predict

Analyzes historical data from major Chinese lottery websites to provide statistical predictions for the next draw.

Prerequisites

  • WebSearch: To fetch the latest lottery results.
  • Python (Optional): For statistical analysis of number frequency (Hot/Cold numbers).

Workflow

1. Input Parsing

The user will provide:

  • Lottery Type: e.g., “双色球” (Double Color Ball) or “大乐透” (Super Lotto).
  • Funds (Optional): Budget for the purchase (default: “10元”).

2. Data Retrieval Strategy

采用四级数据获取策略,确保数据准确性和可靠性:

第一级:直接数据抓取(首选)

  1. 多数据源并行获取:

    • 中彩网 (zhcw.com) – 官方权威数据
    • 500彩票网 (500.com) – 行业领先平台
    • 新浪彩票 (sina.com.cn) – 门户网站数据
  2. 数据验证机制:

    • 每个数据源必须返回完整的号码集合(红球33个,蓝球16个)
    • 至少需要2个数据源验证通过
    • 数据不一致时采用多数原则

第二级:搜索引擎抓取(备用)

  1. 当直接抓取失败时,使用搜索引擎获取数据
  2. 搜索策略:
    • 使用 DuckDuckGo、Bing、百度等多引擎搜索
    • 关键词:"{彩票类型}" 最新开奖结果、"{彩票类型}" 历史号码
    • 从搜索结果页面提取结构化数据

第三级:WebSearch工具(如有配置)

  1. 如果配置了WebSearch API密钥,使用官方搜索工具
  2. 搜索关键词:
    • "{彩票类型}" 近50期开奖结果
    • site:zhcw.com {彩票类型} 往期

第四级:静态数据分析(兜底)

  1. 使用内置的历史数据样本
  2. 基于统计学原理生成建议
  3. 明确标注数据来源为”模拟数据”

数据质量保障

  1. 交叉验证:至少2个独立数据源验证
  2. 完整性检查:必须包含所有可能号码
  3. 时效性检查:数据应包含近期开奖结果
  4. 一致性检查:热号/冷号趋势应基本一致

3. Data Analysis

Analyze the retrieved data to identify:

  • Hot Numbers: Numbers that appeared most frequently in the last 30 draws.
  • Cold Numbers: Numbers that haven’t appeared in a long time.
  • Omitted Numbers: Current omission count for each number.

4. Prediction Generation

Generate 1-5 sets of numbers based on a mix of Hot and Cold numbers. Disclaimer: Lottery draws are independent random events. Predictions are for entertainment only.

5. Output Generation

Generate a report in Chinese using the following format.

Output Template

# {LotteryType} 预测分析报告

## 📅 基本信息
- **分析期数**: 近 {count} 期
- **数据来源**: {source_domain}
- **下期开奖**: {next_draw_date}

## 📊 历史数据分析
- **热号 (Hot)**: {hot_numbers}
- **冷号 (Cold)**: {cold_numbers}

## 🔮 推荐号码
根据历史走势分析,为您生成以下推荐:

| 方案 | 红球 | 蓝球/后区 | 说明 |
| :--- | :--- | :--- | :--- |
| 1 | {reds} | {blues} | {reason} |
| 2 | {reds} | {blues} | {reason} |

## 💡 购彩建议 (预算: {funds})
{suggestion_text}

> **⚠️ 风险提示**: 彩票无绝对规律,预测结果仅供参考,请理性投注。

Implementation Examples

Python Implementation for Data Retrieval

import requests
import re
from collections import Counter

def fetch_lottery_data(lottery_type="双色球"):
    '''从多个数据源获取彩票数据'''
    data_sources = [
        {'name': '中彩网', 'url': 'https://www.zhcw.com/ssq/'},
        {'name': '500彩票网', 'url': 'https://kaijiang.500.com/ssq.shtml'},
    ]
    
    all_reds = []
    all_blues = []
    
    for source in data_sources:
        try:
            response = requests.get(source['url'], headers={'User-Agent': 'Mozilla/5.0'}, timeout=15)
            if response.status_code == 200:
                numbers = re.findall(r'(\\d{2})', response.text)
                reds = [n for n in numbers if n.isdigit() and 1 <= int(n) <= 33]
                blues = [n for n in numbers if n.isdigit() and 1 <= int(n) <= 16]
                
                if len(set(reds)) >= 30 and len(set(blues)) >= 14:
                    all_reds.extend(reds)
                    all_blues.extend(blues)
        except:
            continue
    
    return all_reds, all_blues

def analyze_numbers(reds, blues):
    '''分析热号和冷号'''
    red_counter = Counter(reds)
    blue_counter = Counter(blues)
    
    hot_reds = [num for num, _ in red_counter.most_common(10)]
    hot_blues = [num for num, _ in blue_counter.most_common(5)]
    cold_reds = [num for num, _ in red_counter.most_common()[-10:]]
    cold_blues = [num for num, _ in blue_counter.most_common()[-5:]]
    
    return {
        'hot_reds': hot_reds,
        'hot_blues': hot_blues,
        'cold_reds': cold_reds,
        'cold_blues': cold_blues
    }

DuckDuckGo Search Implementation

import requests
from bs4 import BeautifulSoup

def duckduckgo_search(query, max_results=5):
    '''使用DuckDuckGo进行搜索'''
    url = 'https://html.duckduckgo.com/html/'
    params = {'q': query, 'kl': 'us-en', 'kp': '1'}
    
    response = requests.get(url, params=params, headers={'User-Agent': 'Mozilla/5.0'}, timeout=15)
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        results = []
        
        for result in soup.find_all('div', class_='result')[:max_results]:
            title_elem = result.find('a', class_='result__title')
            link_elem = result.find('a', class_='result__url')
            snippet_elem = result.find('a', class_='result__snippet')
            
            if title_elem and link_elem:
                results.append({
                    'title': title_elem.get_text(strip=True),
                    'url': link_elem.get_text(strip=True),
                    'snippet': snippet_elem.get_text(strip=True)[:200] if snippet_elem else ''
                })
        
        return results
    return []

Usage Examples

User: “预测下期双色球” Action:

  1. 使用多数据源获取最新开奖数据
  2. 分析热号/冷号分布
  3. 生成预测报告

User: “大乐透,买50块钱的” Action:

  1. 获取大乐透历史数据
  2. 根据50元预算生成2-3组推荐号码
  3. 提供购彩策略建议

User: “用DuckDuckGo搜索双色球数据” Action: 调用DuckDuckGo搜索功能获取补充数据

Changelog

v1.1.0 (2026-02-06)

  • Improved: Enhanced data retrieval strategy with four-level fallback system
  • Added: DuckDuckGo search as alternative to WebSearch
  • Added: Multi-source verification for data accuracy
  • Added: Python implementation examples
  • Enhanced: Data quality checks and validation mechanisms