Implement the three-dimensional assessment (phase, progress, conversation
health) that sits between narrative and behaviour selection.
Key changes:
- lib/assessment/investigation-state-assessor.js: assessor module with
countObservations, assessPhase, assessProgress, assessConversationHealth,
assessInvestigationState — deterministic classifiers using known rules
- tests/investigation-state-assessor.test.js: 51 tests covering phase
classification (orienting→concluding), progress thresholds, health
conditions, confidence aggregation, edge cases, and observation counting
- lib/graph/orchestrator.js: integration calls passing correctly-shaped input
to assessInvestigationState() at three call sites (~552, ~904, ~1013)
Design decisions encoded in this iteration:
- countObservations counts nodes with known/resolved status + high-confidence
non-unknown non-state nodes (not just explicit observation-kind nodes)
- Phase uses seven values including cannot_determine for insufficient data
- Progress uses resolution ratio thresholds: accelerating (>0.6), steady
(0.2-0.6), stalled (<0.2 with ≥1 resolved)
- Overall confidence = minimum across all three dimensions (conservative)
Also adds investigation-state-assessment-contract.md and updates
design-evolution-log, investigation-state-assessment.md (status header),
and investigation-turn-cycle.md (implementation status table).
robbond
1273861f0c