feat(infospace): add eval-summary command and improve evaluate pipeline (S3.3)

- Fix evaluate dimensions to match template file:
  definition_precision, source_grounding, domain_placement,
  vsm_relevance, explanatory_value (was domain_relevance,
  discipline_alignment, conceptual_clarity)
- Add VSM background context to evaluation prompt so LLM can
  score vsm_relevance without macro injection
- Fix model_name bug: was sending literal "default" to API (HTTP 400)
- Refactor run_entity_evaluation to write files incrementally via
  callback rather than all at once after the batch — long runs are
  now resumable if interrupted
- Add incremental skip in CLI: entities with existing eval files
  are skipped automatically on re-run (acts as resume)
- Add eval-summary command: reads all eval files, shows per-dimension
  means, optionally writes per_entity_mean to metrics.yaml
- Fix record_check_results to merge rather than overwrite metrics.yaml
  so per_entity_mean survives subsequent check runs
- Add per_entity_mean viability threshold (min: 3.5) to infospace.yaml

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

examples/infospace-with-history/output/metrics/metrics.yaml

@@ -1,6 +1,7 @@
 coherence_components: 0.0
 consistency_cycles: 0.0
-coverage_ratio: 0.442424
-granularity_entropy: 2.953326
+coverage_ratio: 0.619048
+granularity_entropy: 2.674752
 modularity: 0.0
-redundancy_ratio: 0.005877
+per_entity_mean: 4.42
+redundancy_ratio: 0.006073