feat(engine): 添加MCP连接管理和工具集成功能

- 集成MCP连接管理器，支持MCP服务器连接
- 添加多种内置工具：ClarifyTool、CronTool、DelegateTool、ExecuteCodeTool、
  PatchFileTool、ProcessTool、SendMessageTool、SpawnTool、TerminalTool、
  TodoTool、WebFetchTool、WebSearchTool、WriteFileTool等
- 实现工具注册和装配功能
- 添加技能选择上下文参数
- 支持思考模式控制参数thinking_enabled

feat(coordinator): 重构任务执行计划器参数命名

- 将learning_candidate_enabled重命名为allow_candidate_generation
- 更新TeamGraphScheduler中的参数传递
- 修改LocalAgentRunner中的相关参数处理
- 更新README文档中的相应描述

refactor(context): 标准化工具调用参数格式

- 添加_json导入用于参数序列化
- 实现_provider_tool_calls方法标准化OpenAI兼容的工具调用载荷
- 修复工具调用中参数非字符串类型的序列化问题

refactor(session): 优化消息历史记录过滤逻辑

- 修改get_messages_as_conversation为基于运行状态过滤消息
- 排除未完成、失败或错误结束的运行记录
- 改进对话历史的可见性控制机制

fix(store): 修复FTS索引重建逻辑

- 添加异常处理防止FTS索引创建失败
- 实现_rebuild_fts_index方法重新构建全文搜索索引
- 优化索引触发器和表的维护流程

app-instance/backend/beaver/skills/learning/pipeline.py

@@ -14,6 +14,12 @@ from beaver.skills.publisher import SkillPublisher
 from beaver.skills.reviews import ReviewService
 from beaver.skills.specs import SkillDraft, SkillReviewRecord, SkillReviewState, SkillSpec, SkillVersion
 
+_REJECTABLE_DRAFT_STATUSES = {
+    SkillReviewState.DRAFT.value,
+    SkillReviewState.IN_REVIEW.value,
+    SkillReviewState.APPROVED.value,
+}
+
 
 class SkillLearningPipelineService:
     """Coordinates candidate -> draft -> review -> publish lifecycle."""
@@ -161,6 +167,9 @@ class SkillLearningPipelineService:
         requested_by: str = "system",
         notes: str = "",
     ) -> SkillReviewRecord:
+        draft = self.get_draft(skill_name, draft_id)
+        if draft.status != SkillReviewState.DRAFT.value:
+            raise ValueError("Draft must be in draft status before review submission")
         safety = self.get_safety_report(skill_name, draft_id)
         if safety is not None and (not safety.passed or safety.risk_level == "critical"):
             raise ValueError("Draft cannot enter review because safety check failed")
@@ -179,6 +188,12 @@ class SkillLearningPipelineService:
         reviewer: str = "system",
         notes: str = "",
     ) -> SkillReviewRecord:
+        draft = self.get_draft(skill_name, draft_id)
+        if draft.status != SkillReviewState.IN_REVIEW.value:
+            raise ValueError("Draft must be in review before approval")
+        safety = self.get_safety_report(skill_name, draft_id)
+        if safety is not None and (not safety.passed or safety.risk_level == "critical"):
+            raise ValueError("Draft cannot be approved because safety check failed")
         review = self.review_service.approve(skill_name, draft_id, reviewer=reviewer, notes=notes)
         self._mark_candidate_by_draft(skill_name, draft_id, "approved", "approved")
         return review
@@ -191,6 +206,9 @@ class SkillLearningPipelineService:
         reviewer: str = "system",
         notes: str = "",
     ) -> SkillReviewRecord:
+        draft = self.get_draft(skill_name, draft_id)
+        if draft.status not in _REJECTABLE_DRAFT_STATUSES:
+            raise ValueError("Draft is not rejectable from its current status")
         review = self.review_service.reject(skill_name, draft_id, reviewer=reviewer, notes=notes)
         self._mark_candidate_by_draft(skill_name, draft_id, "rejected", "rejected")
         return review