{"skill":{"slug":"fintech-risk-control","displayName":"FinTech Risk Control Expert","summary":"数字金融科技与风控策略专家。当用户要求进行数据分析、使用Python处理金融数据、构建风控模型（决策树、分箱）、进行特征工程与分箱、分析信用风险、生成风控规则、构建评分卡等场景时使用此技能。","tags":{"credit-scoring":"1.0.0","fintech":"1.0.0","latest":"1.0.0","risk-control":"1.0.0"},"stats":{"comments":0,"downloads":217,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1774423514139,"updatedAt":1777526624650},"latestVersion":{"version":"1.0.0","createdAt":1774423514139,"changelog":"Initial release of fintech-risk-control.\n\n- Provides digital finance technology and risk control strategy expertise.\n- Supports Python data analysis, financial data processing, and machine learning modeling (e.g., decision trees, random forests).\n- Includes feature engineering techniques like WOE encoding, IV calculation, and feature binning/selection.\n- Enables generation of risk control rules and construction of credit scoring cards.\n- Offers best-practice thresholds for key risk metrics (KS, AUC, IV, PSI).\n- Activates on keywords such as 风控, 信用评分, 决策树, WOE, IV, 评分卡, etc.","license":"MIT-0"},"metadata":null,"owner":{"handle":"jhinking","userId":"s17aevrs3ezs4ajygfq2e1c9k183k03t","displayName":"JhinKing","image":"https://avatars.githubusercontent.com/u/55840005?v=4"},"moderation":null}