fix: enforce strict (0,1) scores and simplify openenv yaml

openenv.yaml

@@ -98,7 +98,6 @@ tasks:
       Study for 8 hours (480 minutes) without energy hitting zero.
       The agent must manage energy carefully across the full session.
     max_steps: 120
-    score_range: [0.001, 0.999]
     scoring: energy_remaining / 100
     success_threshold: 0.5
 
@@ -108,7 +107,6 @@ tasks:
       Get as many productive minutes (focus > 60) as possible in a 4-hour session.
       Score = productive_minutes / 240, capped at 1.0
     max_steps: 60
-    score_range: [0.001, 0.999]
     scoring: min(productive_minutes / 240, 1.0)
     success_threshold: 0.5
 
@@ -118,6 +116,6 @@ tasks:
       Only take breaks when energy is actually low (below 40%).
       Score = good_breaks / total_breaks. Perfect score = all breaks were necessary.
     max_steps: 80
-    score_range: [0.001, 0.999]
     scoring: good_breaks / max(total_breaks, 1)
     success_threshold: 0.6
+

src/models.py

@@ -47,6 +47,6 @@ class TaskInfo(BaseModel):
     """Info about the current task being evaluated."""
 
     task_id: str
-    score: float = Field(..., ge=0.0, le=1.0)
+    score: float = Field(..., gt=0.0, lt=1.0)
     done: bool
     extra: Optional[dict] = None