Decision Trees

Decision tree analysis for complex decision-making across all domains. Use when user needs to evaluate multiple options with uncertain outcomes, assess risk/reward scenarios, or structure choices systematically. Applicable to business, investment, personal decisions, operations, career choices, product strategy, and any situation requiring structured evaluation. Triggers include decision tree, should I, what if, evaluate options, compare alternatives, risk analysis.

Install is reasonable for normal use. Treat it as a decision-structuring aid, not professional financial, legal, medical, or business advice. If you run the optional Python calculator, only point it at files you intended to use and avoid saving over important files.

Type: OpenClaw Skill Name: decision-trees Version: 1.0.1 The skill bundle provides a decision tree analysis tool. The `SKILL.md` and `README.md` files contain instructions for the AI agent and user, which are entirely focused on structured decision-making and do not exhibit any prompt injection attempts, unauthorized data access, or external command execution. The `scripts/decision_tree.py` script performs expected value calculations, reads user-provided JSON files, and optionally saves user-generated data to a JSON file, all within its stated purpose and without any malicious file system access, network communication, or arbitrary code execution.