decision-critic

Stress-test a decision by applying a 7-step workflow that decomposes claims, assumptions, constraints, and judgments using stable IDs (C1, A1, K1, J1). This process surfaces hidden risks and generates adversarial perspectives before committing to a path.

Adversarial analysis is a structured critique method that verifies claims and challenges assumptions. It applies across product, policy, and technical domains to ensure rigorous verification and risk assessment are performed before finalizing decisions.

Run the decision critique workflow by executing the Python script with arguments for step number, total steps, decision statement, context, and initial thoughts. The script uses standard library dependencies only to guide the analysis.

No external dependencies are required. The structured thinking workflow is implemented in a Python script that relies entirely on the standard library, allowing immediate on-demand execution without installing additional packages.

ID-based tracking assigns stable identifiers like C1, A1, K1, and J1 to individual claims, assumptions, constraints, and judgments. This allows you to systematically track, verify, and challenge specific components throughout the critique process.

Use a critique workflow when your strategic, product, or technical decisions require rigorous verification and risk assessment. It is essential when you need to surface hidden assumptions, challenge existing reasoning, and generate alternative framings before commitment.