feat(benchmark): SC-10 P_rework 计入评审重开(#10)

修正 P_rework 已知低估:此前 ReworkCount 仅由 retry_count>0 派生,漏了 cross_review/queen
质量门的重开(reopen_task 不增 retry_count——是质量决策非失败)。
- cross_review + queen_quality_gate 重开时累计 run.metadata["rework_reopens"]
- run_collector:rework_count = retry 派生 + rework_reopens

测试 test-benchmark-collector/metrics 通过。影响:仅 benchmark 度量(P_rework 更准),不改运行路径。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

benchmark/collectors/run_collector.py

@@ -140,7 +140,11 @@ class SwarmRunMetricsCollector(SwarmMetricsCollector):
         have_quality = isinstance(q_quality, (int, float)) and not math.isnan(q_quality)
         have_speed = isinstance(target_time, (int, float)) and target_time and duration > 0
         if have_quality and have_speed and self.coverage["s_cost"]:
-            rework_count = sum(1 for t in tasks if getattr(t, "retry_count", 0) > 0)
+            # P_rework counts BOTH transient retries AND quality-driven review/queen reopens
+            # (reopen_task doesn't bump retry_count — it's a quality decision, not a failure;
+            # SC-10 fixes the prior under-count). Reopen tally accumulated on run.metadata.
+            rework_count = (sum(1 for t in tasks if getattr(t, "retry_count", 0) > 0)
+                            + int((run.metadata or {}).get("rework_reopens", 0) or 0))
             risky = sum(1 for a in approvals
                         if str(a.get("risk_level", "")).lower() in {"high", "critical"})
             p_risk = (100.0 * risky / len(approvals)) if approvals else 0.0