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scenario-lab

Monte Carlo simulation of real-world events and crises

Simulates branching futures for geopolitical crises, market shocks, elections, and company decisions using Monte Carlo tree search. Turns curated evidence and actor profiles into ranked scenario outcomes with calibrated confidence labels. Removes guesswork from forecasting by exploring thousands of paths and reporting the most plausible branches.
npx skills add YSLAB-ai/scenario-lab --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install Scenario Lab?โ–ผ

Run `npx skills add YSLAB-ai/scenario-lab --all -g -y` in your terminal to install all skills in this suite globally.

What does Scenario Lab do?โ–ผ

It runs Monte Carlo tree search over real-world situations like regional conflicts, market shocks, and company decisions, then ranks the most likely outcome branches with readable reports.

How do I run my first scenario simulation?โ–ผ

Ask your agent a plain-English question such as how a U.S.-Iran conflict might develop over 30 days, and it will guide you through intake, evidence approval, simulation, and reporting.

Does Scenario Lab work with Claude Code and Codex?โ–ผ

Yes. It ships ready-made adapters and a native slash command for Claude Code, plus a packaged runtime that works with Codex and other agents.

Do I need coding skills to use Scenario Lab?โ–ผ

No. You describe the situation in plain language and approve the evidence; the agent handles the simulation commands and produces the ranked scenario report.

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