←Leaderboard/Data/high-stakes-analytics-decision-lab
Last commit on August 23, 2026·Created on July 29, 2026

limingrui679-design/high-stakes-analytics-decision-lab

“A framework for turning research questions into reproducible studies and defensible decisions.”
Combined rank
#342
across all skills
In Data
#4
category rank
Stars
989
+12.6% in last 7d
Forks
121
+13.1% in last 7d
Watchers
93
+6.9% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
TL;DR

This skill provides a structured approach to descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions. It helps decision scientists move from raw datasets to bounded actions by tracing every parameter back to source evidence and approval.

The lab focuses on the rigorous investigation of drivers without overstating causality, allowing users to compare feasible actions while accounting for dependent uncertainty and tail risk across domains like finance, policy, health, and engineering.

WHO IT'S FOR
Decision scientists
turn research questions into reproducible studies
Risk analysts
compare actions under uncertainty and tail risk
Policy and business analysts
produce answer-first analytical reports for stakeholders
Data quality engineers
profile and safely prepare uploaded datasets
Repository contents

1 skill file

Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.

Use this skill

Follow the documented setup, then try a first task.

Setup

Global compatible-runtime installation

Installs: Globally installs the complete compact High-Stakes Analytics & Decision Lab Skill package across detected compatible runtimes. The package includes its scripts, templates, method references, case-precedent index, license, and hash manifest; it does not copy the full fifteen-project portfolio.

Before you start
  • An Agent Skills-compatible runtime for named Skill invocation.
  1. In a terminal, install the Skill globally across detected compatible runtimes.

    npx skills add limingrui679-design/high-stakes-analytics-decision-lab -g
docs/getting-started.md ↗ · Checked Sep 29, 2026

Give it something to do.

Author’s example

Run an evidence-gated readiness review

Uses high-stakes-analytics-decision-lab

  • A real, permitted source for empirical analysis.
  • The decision or evidence question and enough decision context to determine whether a Decision Intelligence Brief is justified.
$high-stakes-analytics-decision-lab
Run the data-readiness gate on this source, preserve the original file, and
select only the analytical routes the evidence supports. Produce an Evidence
Intelligence Report. Add a Decision Intelligence Brief only if the evidence
and decision context justify one.