docs(sleep): add full Results & Analysis (RESULTS.md); link from README

Adds docs/sleep/RESULTS.md — the complete deployment-scale study behind
SkillOpt-Sleep, presented rigorously (named benchmarks, test sizes, metrics,
baseline->after, single shared protocol):
  1. Gate-safety stress test: ungated nano SearchQA collapses 0.554->0.026
     (-52.8); the gated twin holds 0.570 — the core argument for the design.
  2. Full 18-cell deployment grid (3 benchmarks x 3 targets x gate/free),
     shipped config: mean +0.5, range [-2.4, +5.1], nothing hidden.
  3. Experience-replay scaling (recall_k 10->20->full: +3.1->+4.5->+5.6) and
     the night-by-night climb (0.798->...->0.858, gate accepts as late as N5).
  4. Dream-diversity fix as defense-in-depth: 3-config grid comparison
     (-2.66/-52.8 -> +0.24/-4.0 -> +0.53/-2.4); the -52.8 cell becomes +2.7
     from the dream fix alone.
  5. gbrain end-to-end 0.00->1.00 on real Claude + Codex.
  6. Honest scope: where it helps vs flat-in-noise, single-seed caveat with a
     seed-robustness spot check, keep-the-gate-on.
README Results section now links prominently to it. Docs only; numbers are
self-contained with reproduce commands (no raw run dumps committed).

docs/sleep/README.md

@@ -53,6 +53,10 @@ correctness signal; the validation gate still governs what ships.
 
 ## Results
 
+> 📊 **Full study — the complete 18-cell deployment grid, replay-policy ablations,
+> night-by-night progression, the gate-safety stress test, and analysis — is in
+> [`docs/sleep/RESULTS.md`](RESULTS.md).** The highlights:
+
 **Protocol (identical for every row below).** 5 nights × 10 new real "today" tasks
 per night; the full held-out **test** split is scored before night 1 (baseline) and
 after night 5 (after); optimizer = GPT-5.5; single seed (42); run through the exact