Ssq Predictor
v1.0.0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。
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & 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.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.