Ssq Predictor

双色球彩票预测工具，基于历史数据分析生成区间平衡的号码推荐。使用冷热号分析、遗漏值追踪、区间分布优化等算法，生成符合历史统计规律的预测号码。当用户需要双色球号码预测、彩票号码分析、或历史开奖数据统计时使用此Skill。

Security Scan

The skill's code and runtime instructions are coherent with its stated purpose (local CSV-based lottery prediction); it reads only local data, has no network calls, no unusual installs, and requests no credentials.

Purpose & Capability

The name/description (双色球预测) matches the included Python modules (feature engineering and prediction). The files implement hot/cold analysis, missing-value tracking, zone distribution and generate multiple prediction patterns — all expected for this purpose.

Instruction Scope

SKILL.md tells the agent to run the included scripts or call generate_predictions with a local CSV path. The code only reads the specified CSV (default in ~/.openclaw/workspace or passed csv_path) and prints/generates predictions. There are no instructions to read unrelated files, access environment variables, or send data externally.

Install Mechanism

No install spec is provided (instruction-only skill with bundled scripts). The code uses standard Python libraries (numpy, pandas) but does not attempt to download or install anything itself.

Credentials

No required environment variables, credentials, or config paths are declared or accessed. The scripts only reference a local workspace CSV file path; no secrets or external tokens are requested.

Persistence & Privilege

always is false and the skill does not modify agent configuration or other skills. It does not request persistent privileges or create background services.

Assessment

This skill is a local, CSV-driven lottery prediction tool and appears to do only local data processing. Before installing or running: ensure the CSV you provide is trustworthy (the script will parse and convert its fields), and be aware that predictions are deterministic for seeded runs (the code seeds the RNG) and cannot guarantee results. If you accept the entertainment-only nature, no sensitive credentials are needed and there are no network/exfiltration signals in the code.

双色球预测器 (SSQ Predictor)

基于历史开奖数据的区间平衡预测工具。

核心功能

1. 特征工程分析 - 冷热号统计、遗漏值追踪、区间分布分析
2. 区间平衡预测 - 确保红球在三区(01-11, 12-22, 23-33)合理分布
3. 多组预测生成 - 提供6种不同分布模式的预测组合

使用方法

生成预测

cd ~/.openclaw/workspace/skills/ssq-predictor/scripts
python3 ssq_predict.py

在Python中调用

from ssq_predict import generate_predictions

results = generate_predictions(csv_path='ssq_history_100.csv', n_groups=6)
for r in results:
    print(f"{r['name']}: 红球 {r['red']}, 蓝球 {r['blue']}")

预测策略

区间分布模式

模式	一区(01-11)	二区(12-22)	三区(23-33)	说明
均衡型(2-2-2)	2个	2个	2个	最均衡分布
偏态型(3-2-1)	3个	2个	1个	偏小号
偏态型(2-3-1)	2个	3个	1个	偏中区
偏态型(1-2-3)	1个	2个	3个	偏大号
偏态型(3-1-2)	3个	1个	2个	偏一三区
偏态型(2-1-3)	2个	1个	3个	偏二三区

算法特点

1. 冷热号加权 - 近期热号增加权重
2. 遗漏值补偿 - 长期未出号码适当增加概率
3. 区间强制平衡 - 避免小号或大号过度集中
4. 随机扰动 - 保留随机性，避免过度拟合

数据文件

需要双色球历史数据CSV文件，格式如下：

# 双色球近100期开奖结果
# 数据来源：500彩票网
期号,红球1,红球2,红球3,红球4,红球5,红球6,蓝球,开奖日期
2026030,10,11,14,19,22,24,04,2026-03-19
...

注意事项

⚠️ 仅供娱乐参考 - 双色球是完全随机抽奖，任何算法都无法保证中奖。请理性购彩，量力而行。

文件结构

ssq-predictor/
├── SKILL.md
└── scripts/
    ├── ssq_features.py    # 特征工程模块
    └── ssq_predict.py     # 预测算法