Piece 1 of the RT conditioning migration (design: internal handoff
2026-06-30_rt_conditioning_design.md):
- cuas/rt/CuasConditioning: lean, self-contained per-sensor conditioning for the
  TP/RT path - Row/Col denoise (on/off, optional HPF of the 1-D avg profile) then
  photometric scales2*(raw-C0)^2 + scale*(raw-C0) - FPN (bit-matches the current
  additive path when scales2=0). Bypasses the heavy QuadCLT conditioning path.
- CuasMotion.perSensorAveragesFromTD(GpuQuad, use_reference): memory-lean render of
  all 16 per-sensor from TD; per-sensor average + spread = calibration-quality gauge.

Building blocks only; full test wiring (raw jp4 -> condition -> convert_direct ->
renderSceneSequence per-sensor averages) + Eyesis invocation entry still pending.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>