彩票分析助手

彩票智能分析助手，支持双色球（SSQ）和大乐透（DLT）的深度数据分析、趋势预测和智能推荐。适用于：历史开奖数据统计分析、热号冷号追踪、奇偶和值走势、连号模式识别、智能号码推荐（单注/复式）、7+2/6+2复式方案生成。当用户需要分析彩票数据、生成推荐号码或查看号码热度排名时激活。

Security Scan

The skill's files and runtime instructions are coherent with its stated purpose (local lottery data analysis) and do not request extra credentials, network access, or unusual installs.

Purpose & Capability

Name/description match the included Python analysis script and SKILL.md examples. The code implements statistics, pattern analysis and recommendation features described in the README and does not require cloud credentials or unrelated tooling.

Instruction Scope

Instructions operate on local Excel/CSV files and read/write JSON results under e.g. /home/admin/worktemp and ~/.openclaw/skills paths — this is expected for a local data analysis tool. Note: defaults use absolute paths in /home/admin; users should confirm those paths are appropriate for their environment to avoid accidental reading/overwriting of files.

Install Mechanism

No install spec is included (instruction-only skill) and the code file is provided directly. Dependencies (pandas, numpy, openpyxl) are declared in SKILL.md as preinstalled; there is no download-from-URL or archive extraction that would increase risk.

Credentials

The skill declares no required environment variables, credentials, or config paths. The script only accesses local files supplied by the user and does not attempt to read environment secrets.

Persistence & Privilege

always:false and normal autonomous invocation settings. The skill does not request persistent system-wide privileges or modify other skills' configurations based on the provided materials.

Assessment

This skill appears to be a straightforward local lottery-data analysis tool. Before installing or running it: (1) verify the default file paths (/home/admin/worktemp and ~/.openclaw/skills) are acceptable and change them if needed to avoid overwriting important files; (2) confirm pandas / numpy / openpyxl are available in the runtime environment or install them in a controlled environment; (3) review the remainder of the analyze_lottery.py file (the provided file was truncated) to confirm there are no unexpected network calls, credential usage, or writes to other system locations; (4) run the script on sample data in a sandboxed environment if you have concerns about file access. No network endpoints, secrets, or elevated privileges were found in the provided materials.

智能分析双色球和大乐透彩票数据，提供基于统计学的号码推荐和趋势分析。

支持彩票类型

• 双色球 (SSQ)：6个红球(1-33) + 1个蓝球(1-16)
• 大乐透 (DLT)：5个前区(1-35) + 2个后区(1-12)

快速开始

1. 基本分析（使用现有数据文件）

查看之前生成的分析结果：

read /home/admin/worktemp/ssq_7plus2_analysis.json  # 双色球7+2复式
read /home/admin/worktemp/lottery_ssq_analysis.json  # 最新分析

2. 分析新的开奖数据

使用核心脚本分析Excel/CSV数据文件：

python3 ~/.openclaw/skills/lottery-analyzer/scripts/analyze_lottery.py ssq /path/to/data.xlsx 7+2

格式说明：

• ssq / dlt：彩票类型
• 数据路径：Excel或CSV文件路径
• 格式：simple（单注）或 7+2（复式）

3. 对话式分析（推荐）

直接告诉需求，用Python脚本实时处理：

# 创建分析器
from lottery_analyzer import LotteryAnalyzer

# 初始化（双色球）
analyzer = LotteryAnalyzer('ssq')

# 加载Excel数据（跳过第一行表头）
analyzer.load_data('./data.xlsx', has_header=True)

# 提取最近50期数据
analyzer.extract_numbers(50)

# 生成统计
stats = analyzer.generate_statistics()

# 生成5组7+2复式推荐
recommendations = analyzer.generate_multiple_recommendations(5, '7+2')

# 保存结果
analyzer.analysis_results = {'statistics': stats, 'recommendations': recommendations}
analyzer.save_results('./lottery_ssq_analysis.json')

数据文件格式

Excel格式推荐

双色球Excel模板：

期号  红球号码        (表头行，可选)
26018   11  15  17  22  25  30  7
26017   1   3   5   18  29  32  4
...

大乐透Excel模板：

期号  前区号码    后区号码  (表头行，可选)
26018   5  12  18  25  28   3  9
26017   8  15  22  26  31   5  12
...

CSV格式

期号,红1,红2,红3,红4,红5,红6,蓝
26018,11,15,17,22,25,30,7
26017,1,3,5,18,29,32,4

核心分析功能

1. 统计分析

获取详细统计数据：

stats = analyzer.generate_statistics()

# 输出内容：
{
    'red': {
        'hot_numbers': [13, 9, 3, 5, 2, ...],   # 热号（前15）
        'cold_numbers': [21, 11, 16, ...],      # 冷号（前10）
        'avg_number': 16.0,                      # 平均数
        'median': 15.0,                          # 中位数
        'stdev': 9.8                            # 标准差
    },
    'blue': {
        'hot_numbers': [10, 4, 13, ...],
        'cold_numbers': [9, 11, 14, ...]
    },
    'sum': {
        'avg': 95.9,      # 平均和值
        'min': 46,        # 最小和值
        'max': 133        # 最大和值
    }
}

2. 模式识别

分析近期走势：

patterns = analyzer.analyze_patterns(10)  # 近10期

# 输出内容：
[
    {
        'consecutive': 1,      # 连号对数
        'odd_even': '3:3',     # 奇偶比例
        'big_small': '4:2',    # 大小比例
        'sum': 120,            # 和值
        'sum_range': '101-120' # 和值区间
    },
    ...
]

3. 智能推荐

多种推荐策略：

# 策略1：均衡推荐（热冷混合）
rec = analyzer.recommend_numbers(strategy='balanced', format_type='7+2')

# 策略2：热号策略（推荐高频号码）
rec = analyzer.recommend_numbers(strategy='hot', format_type='7+2')

# 策略3：冷号策略（博冷门回归）
rec = analyzer.recommend_numbers(strategy='cold', format_type='7+2')

# 策略4：连号策略（包含连号组合）
rec = analyzer.recommend_numbers(strategy='consecutive', format_type='7+2')

# 策略5：区间策略（覆盖多个数字区间）
rec = analyzer.recommend_numbers(strategy='segment', format_type='7+2')

复式方案说明

7+2复式（双色球）

• 组合数：C(7,6) × C(2,1) = 7 × 2 = 14注
• 费用：14注 × 2元 = 28元
• 覆盖范围：7个红球中任选6个，2个蓝球中任选1个

7+2复式（大乐透）

• 组合数：C(7,5) × C(2,2) = 21 × 1 = 21注
• 费用：21注 × 2元 = 42元
• 覆盖范围：7个前区中任选5个，2个后区全选

6+2复式（双色球）

• 组合数：C(6,6) × C(2,1) = 1 × 2 = 2注
• 费用：2注 × 2元 = 4元
• 覆盖范围：6个红球全选，2个蓝球中任选1个

完整工作流示例

示例1：分析双色球并生成5组推荐

# 执行分析
cd ~/.openclaw/skills/lottery-analyzer
python3 scripts/analyze_lottery.py ssq ~/worktemp/ssq1-100.xlsx 7+2

# 查看结果
cat ~/worktemp/lottery_ssq_analysis.json

示例2：对话式实时分析

# 直接在对话中使用脚本
import sys
sys.path.insert(0, '/home/admin/.openclaw/skills/lottery-analyzer/scripts')
from analyze_lottery import LotteryAnalyzer

# 创建分析器
analyzer = LotteryAnalyzer('ssq')

# 加载数据
success, msg = analyzer.load_data('/home/admin/worktemp/ssq1-100.xlsx', has_header=True)

# 分析最近30期
analyzer.extract_numbers(30)

# 查看热号
print(f"热红球: {analyzer.red_freq.most_common(10)}")

# 生成推荐
recs = analyzer.generate_multiple_recommendations(5, '7+2')

# 格式化输出
for rec in recs:
    print(f"\n第{rec['group']}组: {rec['strategy']}")
    print(f"红球: {' '.join(f'{n:02d}' for n in rec['red_balls'])}")
    print(f"蓝球: {' '.join(f'{n:02d}' for n in rec['blue_balls'])}")

输出文件位置

分析结果默认保存在：

/home/admin/worktemp/lottery_ssq_analysis.json   # 双色球
/home/admin/worktemp/lottery_dlt_analysis.json   # 大乐透

技术依赖

• pandas（数据处理）
• numpy（数值计算）
• openpyxl（Excel支持）

依赖已预装，无需额外安装。

免责声明

本工具仅基于历史数据进行统计分析，不保证中奖。彩票本质是随机事件，请理性购彩，量力而行。

分析结果仅供娱乐和参考，切勿过度投入。

扩展功能

需要添加自定义分析时，直接在对话中使用Python：

# 自定义分析示例
from analyze_lottery import LotteryAnalyzer

analyzer = LotteryAnalyzer('ssq')
analyzer.load_data('./data.xlsx', has_header=True)
analyzer.extract_numbers(50)

# 自定义统计：计算特定数字出现间隔
for num in range(1, 34):
    occurrences = [i for i, n in enumerate(analyzer.all_red_numbers) if n == num]
    # 计算间隔...

脚本完全可扩展，你可以添加任何自定义分析逻辑。