Measure the 3D library and open the model review scorecard

MEMORY.md

@@ -4,6 +4,15 @@ Session memory for durable decisions, state, and gotchas. Keep concise, remove o
 
 ## Decisions
 
+- **3D review baseline (2026-11-03):** `docs/3d-model-review.md` records the first skill-guided
+  measurements: 46/46 assets clean, library 59,012 tris, characters 4,482–5,474 tris (68–69% of
+  the 8,000 caps), `npc_base` only 1,204/2,488, 24-NPC 6.94 ms, and authored texel density
+  64–122 px/m (fabric effective 287–440 after the 4× repeat). That is below the skill's 128–256
+  background tier but the slot maps are neutral and tinted at runtime, so it is a recorded decision
+  point, not a defect. Added `blender_assets.py texels` (stdlib, per-slot px/m from GLB UV/world
+  area, fabric reported twice) and `inspect --json --out` (the glTF importer's INFO log is captured
+  in `stats.import_log`; Blender's startup banner still pollutes stdout). Baseline/review captures
+  run fine under `xvfb-run` into `tmp/`.
 - **3D model re-evaluation first (2026-11-03):** `TODO.md` is re-planned around a new unversioned
   `3D model re-evaluation` track, ahead of character and local-map work, because the crowd-variant
   roster would otherwise multiply whatever the existing models get wrong. It scores all 8