feat(auto-repair): 移除所有阻擋門檻 — 直接全部跳成自動修復

統帥指令: 所有 APPROVED Playbook 直接執行，不再檢查:
- 相似度門檻 (MIN_SIMILARITY_SCORE 0.7 → 0.0)
- is_high_quality 品質門檻
- 冷啟動信任機制
- 動作風險等級門檻 (evaluate + execute 兩層)

保留: P0/P1 嚴重度人工審核、全域冷卻熔斷、APPROVED 狀態檢查

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

apps/api/src/services/auto_repair_service.py

@@ -134,15 +134,13 @@ class AutoRepairService:
     """
 
     # === 安全邊界常數 ===
-    MAX_AUTO_REPAIR_RISK = RiskLevel.MEDIUM  # 最高允許自動修復的風險等級
-    MAX_AUTO_REPAIR_SEVERITY = Severity.P2  # 最高允許自動修復的嚴重度
-    MIN_SIMILARITY_SCORE = 0.7  # 最低相似度門檻
-
-    # 2026-04-07 Claude Code: 首次信任機制 — 打破冷啟動雞生蛋問題
-    # 條件: APPROVED + 全部步驟 risk=LOW + 執行次數 < 3
-    # 每日最多 5 次首次信任自動修復，防止失控
-    COLD_START_TRUST_MAX_EXECUTIONS = 3  # 累積幾次後回歸正常門檻
-    COLD_START_TRUST_DAILY_LIMIT = 5    # 每日首次信任上限
+    # 2026-04-07 Claude Code: 統帥指令「直接全部跳成自動修復」
+    # 移除相似度/品質/風險門檻，只保留 P0/P1 嚴重度阻擋
+    MAX_AUTO_REPAIR_RISK = RiskLevel.MEDIUM  # 保留供日後參考，不再用於阻擋
+    MAX_AUTO_REPAIR_SEVERITY = Severity.P2  # P0/P1 仍需人工審核
+    MIN_SIMILARITY_SCORE = 0.0  # 🔴 已取消門檻
+    COLD_START_TRUST_MAX_EXECUTIONS = 3  # 保留供參考
+    COLD_START_TRUST_DAILY_LIMIT = 5    # 保留供參考
 
     def __init__(
         self,
@@ -255,69 +253,22 @@ class AutoRepairService:
         # 4. 檢查最佳匹配
         best_match = recommendations[0]
 
-        # 相似度檢查
-        if best_match.similarity_score < self.MIN_SIMILARITY_SCORE:
-            return AutoRepairDecision(
-                can_auto_repair=False,
-                playbook=best_match.playbook,
-                reason=f"相似度 {best_match.similarity_score:.0%} 低於門檻 {self.MIN_SIMILARITY_SCORE:.0%}",
-                blocked_by="LOW_SIMILARITY",
-            )
-
-        # 高品質檢查 + 首次信任機制
-        # 2026-04-07 Claude Code: 方案 C — 打破冷啟動雞生蛋問題
+        # 2026-04-07 Claude Code: 統帥指令「直接全部跳成自動修復」
+        # 移除: 相似度門檻、is_high_quality 門檻、冷啟動機制、風險等級門檻
+        # 只要有匹配 Playbook 且 APPROVED，直接執行
         max_risk = self._get_max_risk_level(best_match.playbook)
-        _is_cold_start = False  # Sprint 4 B2: 預設非冷啟動
+        _is_cold_start = False
 
-        if not best_match.playbook.is_high_quality:
-            # 首次信任: APPROVED + 全步驟 LOW risk + 執行次數 < N
-            cold_start_eligible = (
-                best_match.playbook.status == PlaybookStatus.APPROVED
-                and max_risk == RiskLevel.LOW
-                and best_match.playbook.total_executions < self.COLD_START_TRUST_MAX_EXECUTIONS
-            )
-
-            if cold_start_eligible:
-                # 檢查每日首次信任上限
-                daily_ok = await self._check_cold_start_daily_limit()
-                if daily_ok:
-                    logger.info(
-                        "auto_repair_cold_start_trust",
-                        incident_id=incident.incident_id,
-                        playbook_id=best_match.playbook.playbook_id,
-                        playbook_name=best_match.playbook.name,
-                        total_executions=best_match.playbook.total_executions,
-                        max_risk=max_risk.value,
-                    )
-                    _is_cold_start = True  # Sprint 4 B2: 標記冷啟動
-                    # 跳過 is_high_quality 門檻，直接進入風險檢查
-                else:
-                    return AutoRepairDecision(
-                        can_auto_repair=False,
-                        playbook=best_match.playbook,
-                        reason=f"首次信任每日上限已達 {self.COLD_START_TRUST_DAILY_LIMIT} 次",
-                        blocked_by="COLD_START_DAILY_LIMIT",
-                    )
-            else:
-                return AutoRepairDecision(
-                    can_auto_repair=False,
-                    playbook=best_match.playbook,
-                    reason=f"Playbook 尚未達到高品質標準 (成功率: {best_match.playbook.success_rate:.0%}, 執行次數: {best_match.playbook.total_executions})",
-                    blocked_by="NOT_HIGH_QUALITY",
-                )
-
-        # 5. 檢查動作風險等級
-
-        if self._risk_exceeds_threshold(max_risk):
+        # 只保留: Playbook 必須是 APPROVED 狀態
+        if best_match.playbook.status != PlaybookStatus.APPROVED:
             return AutoRepairDecision(
                 can_auto_repair=False,
                 playbook=best_match.playbook,
-                reason=f"Playbook 包含 {max_risk.value} 風險動作，需要人工審核",
-                risk_level=max_risk,
-                blocked_by="HIGH_RISK",
+                reason=f"Playbook 狀態為 {best_match.playbook.status.value}，必須是 APPROVED",
+                blocked_by="NOT_APPROVED",
             )
 
-        # 6. 可以自動修復
+        # 5. 可以自動修復
         logger.info(
             "auto_repair_approved",
             incident_id=incident.incident_id,
@@ -367,14 +318,8 @@ class AutoRepairService:
         try:
             # 執行每個步驟
             for step in playbook.repair_steps:
-                # 安全檢查: 跳過高風險步驟
-                if self._risk_exceeds_threshold(step.risk_level):
-                    logger.warning(
-                        "auto_repair_skip_high_risk_step",
-                        step_number=step.step_number,
-                        risk_level=step.risk_level.value,
-                    )
-                    continue
+                # 2026-04-07 Claude Code: 統帥指令「直接全部跳成自動修復」
+                # 移除 step-level 風險門檻，所有步驟直接執行
 
                 # 執行步驟
                 step_result = await self._execute_step(incident, step)