attributelisted

## Intent Establish causal relationships between observed effects and potential causes. This capability supports root cause analysis, dependency mapping, and causal reasoning for planning and debugging. **Success criteria:** - Causes identified for observed effects - Causal strength estimated for each relationship - Causal mechanism explained - Alternative causes considered and ruled out **Compatible schemas:** - `schemas/output_schema.yaml` ## Inputs | Parameter | Required | Type | Description | |-----------|----------|------|-------------| | `effect` | Yes | any | The observed effect to attribute | | `candidates` | No | array | Potential causes to evaluate | | `context` | No | object | Situational context for attribution | | `depth` | No | string | Analysis depth: immediate, chain, comprehensive | ## Procedure 1) **Characterize the effect**: Understand what needs to be explained - Document the observed effect precisely - Note timing and circumstances - Identify what changed 2) **Identify candidate causes**: Generate list of potential causes - Use provided candidates if available - Generate additional candidates from context - Consider proximate and distal causes 3) **Evaluate causal strength**: Assess each candidate - Check temporal precedence (cause before effect) - Verify mechanism plausibility - Look for correlation evidence - Consider counterfactual (would effect occur without cause?) 4) **Trace causal chain**: Map the path from c