feat: wire preferences through run cycle into reflect prior

skillopt_sleep/__main__.py

@@ -91,6 +91,8 @@ def _add_common(p: argparse.ArgumentParser) -> None:
     p.add_argument("--progress", action="store_true",
                    help="print phase progress to stderr")
     p.add_argument("--auto-adopt", action="store_true")
+    p.add_argument("--preferences", default="",
+                   help="free-text house rules injected into the optimizer's reflect step")
     p.add_argument("--json", action="store_true")
 
 
@@ -118,6 +120,8 @@ def _cfg_from_args(args, task_meta: Dict[str, Any] | None = None) -> Any:
         overrides["lookback_hours"] = lh
     if getattr(args, "edit_budget", 0):
         overrides["edit_budget"] = args.edit_budget
+    if getattr(args, "preferences", ""):
+        overrides["preferences"] = args.preferences
     if getattr(args, "max_sessions", 0):
         overrides["max_sessions_per_night"] = args.max_sessions
     if getattr(args, "max_tasks", 0):

skillopt_sleep/config.py

@@ -41,6 +41,7 @@ DEFAULTS: Dict[str, Any] = {
     "gate_mode": "on",            # "on" (validation-gated) | "off" (greedy, no hard filter)
     "codex_path": "",             # "" => auto-detect the real @openai/codex binary
     "edit_budget": 4,             # textual learning rate (max edits/night)
+    "preferences": "",            # free-text house rules injected into reflect as a prior
     "gate_metric": "mixed",       # hard | soft | mixed (mixed best for tiny holdouts)
     "gate_mixed_weight": 0.5,
     "replay_mode": "mock",        # "mock" (sandboxed prompt) | "fresh" (worktree)

skillopt_sleep/cycle.py

@@ -120,6 +120,7 @@ def run_sleep_cycle(
         codex_path=cfg.get("codex_path", ""),
         project_dir=project,
     )
+    backend.preferences = cfg.get("preferences", "")
     _progress(cfg, f"night {night}: project={project} backend={backend.name}")
 
     # ── live skill/memory docs ───────────────────────────────────────────