.claude/skills/dlt-probability-analyzerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
大乐透诚实理性助手 · 一份不忽悠的大乐透报告:随机性检验、选号法打假、胆拖优化、合买覆盖、诚实账本与预算守护、玩家防坑教育、网点雷达,只讲真话、只做伤害减损。当用户说"分析大乐透/大乐透预测/生成大乐透报告/大乐透中奖概率/彩票能不能预测/选号法有没有用/大乐透随机性检验/大乐透胆拖方案/大乐透合买/拼单/大乐透账本/预算/防坑/体彩网点/超级大乐透分析/大乐透开奖模式/大乐透历史统计"时使用。生成严谨分析报告,内置对"预测力"的统计证伪(前区熵效率/任一组合恒等概率/样本外回测/no_edge 结论)、22 项自检护栏。核心立场:数学上任何选号法都不优于随机、期望为负,本 skill 不承
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.claude/skills/dlt-probability-analyzerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/dlt-probability-analyzerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/dlt-probability-analyzerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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sha256:533ef9804029371f7b7ef0e39408500bb4d7882bfc64bb017ab3466c261d34e3changelog.mdcheck_undefined_names.pydlt_analysis_methods.mddlt_auto.pydlt_backup.pydlt_common.pydlt_cost_effectiveness.pydlt_cross_validate_v84_final.pydlt_dantuo_optimizer.pydlt_data_recovery.pydlt_data_source.jsondlt_deep_analysis.pydlt_draw_announcement.jsondlt_draw_announcement.pydlt_draw_check.pydlt_eci_backtest.pydlt_education.pydlt_enhance.pydlt_enhanced_backtest.pydlt_exhaustive.pydlt_expert_accuracy.jsondlt_expert_input.txtdlt_expert_picks.jsondlt_expert_roster.pydlt_expert_scraper.pydlt_expert_tracker.pydlt_expert_views_26096.jsondlt_healthcheck_all.pydlt_history.jsondlt_huiniao_api.pydlt-skill 1.0.0 - Introduces the dlt-probability-analyzer: a rational, evidence-based assistant for China's "Super Lotto", focused on responsible play and harm reduction. - Provides rigorous probability analysis, verifying that all number-picking methods are mathematically equivalent to random selection and the expected return is negative. - Generates in-depth entertainment-only reports with honesty prompts, budget tools, "group-buy" optimizations, spending ledgers, scam/fallacy warnings, and a lottery retail network finder. - Includes self-verification: 22 built-in safety checks, cross-validation, and mandatory presentation of statistical evidence disproving predictive methods. - One-command operation (`python run_dlt.py`), cross-platform and offline-capable, with reports auto-copied to desktop and viewable in-browser. - No false promises of winning: strictly prohibits claims of positi…