Contract

• Input: problem description and inputs defined by the skill body.
• Output: Markdown artifact with completed process steps.
• Side effects: none.
• Dependencies: none.
• Stop condition: all process steps executed; artifact saved with required sections.
• Risk: low.
• Boundary: produces reasoning artifact only; no system changes.

Probability & Stochastic Modeling

Construct a probability model — distribution, process, or inference — with explicit assumptions and checks against known limits.

When to use

• User asks for random variables, distributions, stochastic processes, or inference.
• A risk / quant / ML problem needs a probabilistic backbone.