hypothesis-tracking

# Hypothesis Tracking ## Purpose Use this skill to manage durable research memory for a company. Hypotheses are a working memory layer, not final truth. ## Workflow 1. Retrieve hypotheses before starting duplicate research. 2. Present confidence clearly: untested, validated, invalidated, or confirmed. 3. Update confidence only when new evidence exists. 4. Keep evidence strings short, factual, and source-oriented. ## Operating Rules - Distinguish known facts from open hypotheses. - Preserve the evidence trail when confidence changes. - Prefer updating an existing hypothesis over creating duplicates. - Expired or weak hypotheses should be re-validated before being presented as current. ## Example ```text get_hypotheses(company="ExampleCo", topic="technology") save_hypothesis(company="ExampleCo", hypothesis_id="h_001", confidence="validated", evidence="CTO interview confirms AWS usage") ```