为什么值得关注

它强制执行严格的证据优先流程，避免过早建模；数据质量关卡可以中止或要求用户确认；自适应分析路径只生成有支持的结果。

适合谁使用

数据分析师和科学家
决策智能从业者
风险与合规官
AI治理与审计团队

典型使用场景

需要透明证据的高风险商业或政策决策
模型验证与部署就绪评估
可复现研究（保留源数据和代码）
分析前的数据质量审计与准备

项目优势

证据优先工作流减少过拟合和无根据的推荐
数据就绪关卡提供明确的阻塞/确认/通过状态
根据案例自适应选择分析路径（描述/诊断/预测/规范）
可复现输出：哈希源文件、合同和机器可读结果

使用前须知

需要理解分析方法和证据合同才能解释输出
对于简单或已知问题可能过于复杂
依赖安装（Node.js 18+、Python 3.10+）和CLI工具，可能限制可及性

README 快速开始

High-Stakes Analytics & Decision Lab

A platform-neutral, evidence-constrained Skill for moving from an ambiguous question to a defensible analysis—and only then, when justified, to action.

What the Skill does

This Skill turns an ambiguous, consequential question into a reproducible evidence product and, only when justified, a bounded decision product. It can start from a question alone or from uploaded row-level data. Instead of assuming the data are clean, the model is useful, or a recommendation must be produced, it makes each transition conditional on visible evidence.

Highlight	Instead of…	The Skill…
Evidence first	Starting with a favorite method	Declares the question, estimand, population, grain, horizon, lineage, and claim boundary
Data readiness	Silently cleaning until a model runs	Preserves the source, profiles quality and privacy, and pauses on material choices
Adaptive analysis	Filling one fixed report template	Selects only the descriptive, diagnostic, predictive, or prescriptive work supported
Honest endpoints	Treating a recommendation as mandatory	Accepts an evidence request, negative validation, `do_not_deploy`, or bounded action
Shared uncertainty	Disturbing alternatives independently	Retains common time, market, participant, operational, campaign, or spatial shocks
Reproducible evidence	Separating prose from analysis	Links claims and accessible figures to JSON, CSV, hashes, and rerunnable code

The contribution is not a newly invented statistical estimator. It is an adaptive orchestration system for evidence gating, method selection, claim control, dependent-risk handling, and case-specific analytical communication.

Quick install

npx skills add limingrui679-design/high-stakes-analytics-decision-lab -g

See runtime-specific, manual, and no-install options.

Overview · Complete workflow · Data gate · Four routes · Outputs · Real projects · Use

One complete evidence-to-decision workflow

flowchart TD
    Q["1 · Frame the questiondecision · population · estimand · horizon"] --> S["2 · Establish the evidence contractsource · license · grain · lineage"]
    S --> G{"3 · Data-readiness gate"}
    G -->|"blocked"| X["Stoprequest corrected evidence"]
    G -->|"confirmation required"| U["Appr

项目描述

A platform-neutral analytical Skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions.

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