{"skill":{"slug":"audit-statistics","displayName":"Audit Statistics","summary":"提供审计抽样设计与数据异常检测、实质性分析及趋势预测的统计方法应用指导。","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":120,"installsAllTime":1,"installsCurrent":1,"stars":0,"versions":1},"createdAt":1778116627631,"updatedAt":1778492867743},"latestVersion":{"version":"1.0.0","createdAt":1778116627631,"changelog":"Initial release of audit-statistics skill.\n\n- Provides a practical guide for applying statistical methods in audit projects.\n- Covers common sampling methods: random, stratified, MUS, attribute, variable, and PPS sampling.\n- Includes techniques for data analysis: Benford's Law, outlier detection, correlation/regression analysis.\n- Outlines analytical review steps and substantive test applications.\n- Offers Python code samples for key audit statistical procedures.\n- Features a checklist for designing audit sampling plans and lists relevant audit standards.","license":"MIT-0"},"metadata":null,"owner":{"handle":"iamdracula","userId":"s173yppx40th60qjasat16rkmd8549qy","displayName":"iamdracula","image":"https://avatars.githubusercontent.com/u/16771443?v=4"},"moderation":null}