📦 Win Football Predictor — 胜负彩预测
v1.0.0融合Pi-Rating、CatBoost、XGBoost与Dixon-Coles四模型，基于710期9940场历史数据预测足球胜负，支持联赛级微调，胜率显著提升。
0· 189·0 当前·0 累计
by @yangjinfc下载技能包
最后更新
2026/3/26
安全扫描
OpenClaw
安全
medium confidenceNULL
评估建议
This package appears to be a local football prediction toolkit and is internally coherent, but review before running. Key points to consider:
- The code will execute as Python when you run the commands in SKILL.md; run it in an isolated environment (virtualenv, container) first.
- There are many coding errors and incomplete/truncated sections (see examples below). Fix or audit these before relying on outputs.
- The code may try to load pretrained models from a saved_models directory; ensure you ...详细分析 ▾
✓ 用途与能力
The name/description (football prediction using Pi-Rating + CatBoost/XGBoost/Dixon-Coles ensemble) matches the included Python scripts. The code implements data simulation/fetcher, Pi-Rating, model fusion, and a predict engine — all coherent with the stated purpose. The package expects optional pretrained model files under a local saved_models directory, which is reasonable for a modeling skill.
ℹ 指令范围
SKILL.md only instructs running local Python scripts (predict_engine.py) and provides input formats. The code does not request environment variables or access unrelated system paths. Notes and comments reference external data sources (500.com, datachain) but those are not contacted by the provided code; the data_fetcher currently simulates data rather than making network calls. You should still inspect/scan before running, because running the scripts will execute arbitrary Python code from this skill (expected for an instruction + code skill).
✓ 安装机制
There is no install spec and no network download/install steps declared. This is an instruction-only skill with code files included; nothing will be fetched automatically by an installer. Risk from install mechanism is low, but running the scripts will execute local code.
✓ 凭证需求
The skill declares no required environment variables, no credentials, and no config paths. The code similarly does not read external secrets or reference unrelated service credentials. It may attempt to load local model files (saved_models) if present — a normal behavior for model code.
✓ 持久化与权限
The skill is not always-enabled and does not request persistent or elevated platform privileges. It does not modify other skills or system-wide agent settings in the provided files.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.0.02026/3/26
NULL
● 无害
安装命令
点击复制官方npx clawhub@latest install win-football-predictor
镜像加速npx clawhub@latest install win-football-predictor --registry https://cn.longxiaskill.com镜像同步中