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ligo-gao

Ssq Predictor

by ligo-gao · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
173
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1
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Install in OpenClaw
/install ssq-predictor
Description
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。
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill Name: ssq-predictor Version: 1.0.0 The skill bundle is a legitimate lottery prediction tool that performs statistical analysis on local CSV data. The Python scripts (ssq_features.py and ssq_predict.py) use standard data science libraries like pandas and numpy to calculate frequencies and distributions without any network activity, file exfiltration, or suspicious execution patterns.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ssq-predictor
  3. After installation, invoke the skill by name or use /ssq-predictor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of ssq-predictor. - 双色球号码预测工具,基于历史开奖数据分析生成推荐 - 实现冷热号统计、遗漏值追踪、区间分布优化等核心算法 - 支持6种区间分布模式的预测号码自动生成 - 提供命令行和Python接口调用方式 - 强调理性购彩,仅供娱乐参考
Metadata
Slug ssq-predictor
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 173 downloads so far.

How do I install Ssq Predictor?

Run "/install ssq-predictor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ssq Predictor free?

Yes, Ssq Predictor is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ssq Predictor support?

Ssq Predictor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ssq Predictor?

It is built and maintained by ligo-gao (@ligo-gao); the current version is v1.0.0.

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