diff --git a/.planning/phases/02-platform-skills/02-02-PLAN.md b/.planning/phases/02-platform-skills/02-02-PLAN.md
index c5da558..c0315f8 100644
--- a/.planning/phases/02-platform-skills/02-02-PLAN.md
+++ b/.planning/phases/02-platform-skills/02-02-PLAN.md
@@ -2,7 +2,7 @@
 phase: 02-platform-skills
 plan: 02
 type: execute
-wave: 1
+wave: 2
 depends_on: [02-01]
 files_modified:
   - kb_pipeline/platforms/__init__.py
@@ -24,6 +24,7 @@ must_haves:
     - "内容保存为Markdown文件（YAML Frontmatter + 正文）"
     - "403错误触发降级策略（API -> Playwright）"
     - "网络错误自动重试3次"
+    - "失败时记录错误原因到workflow_state.json"
   artifacts:
     - path: "kb_pipeline/platforms/base.py"
       provides: "平台适配器基类"
@@ -48,12 +49,16 @@ must_haves:
       to: "kb-bilibili-metadata/bilibili_extractor.py"
       via: "BilibiliExtractor class"
       pattern: "from kb_bilibili_metadata"
+    - from: "kb_pipeline/platforms/bilibili.py"
+      to: "kb_pipeline/state.py"
+      via: "WorkflowStateManager.mark_step_failed"
+      pattern: "mark_step_failed"
 ---
 
 <objective>
 创建 B站平台适配器，封装视频和专栏的元数据提取与内容获取逻辑，复用现有 BilibiliExtractor 实现。
 
-Purpose: 为 B站视频和专栏提供统一的元数据提取和内容下载接口，支持错误重试和降级策略。
+Purpose: 为 B站视频和专栏提供统一的元数据提取和内容下载接口，支持错误重试、降级策略和状态记录。
 Output: PlatformAdapter 基类、BilibiliAdapter 实现类
 </objective>
 
@@ -96,6 +101,23 @@ class StepOutput(BaseModel):
     success: bool
     error_message: Optional[str]
     completed_at: datetime
+
+class WorkflowState(BaseModel):
+    content_id: str
+    platform: str
+    source_url: str
+    steps: Dict[str, StepRecord]
+
+    def mark_step_failed(self, step_name: str, error_message: str) -> None:
+        """标记步骤失败，记录错误信息"""
+```
+
+From kb_pipeline/state.py:
+```python
+class WorkflowStateManager:
+    def load(self) -> Optional[WorkflowState]: ...
+    def save(self, state: WorkflowState) -> None: ...
+    def get_or_create(self, content_id, platform, source_url) -> WorkflowState: ...
 ```
 
 From kb_pipeline/errors.py:
@@ -200,13 +222,14 @@ DEFAULT_HEADERS = {
 </task>
 
 <task type="auto" tdd="true">
-  <name>Task 2: Implement BilibiliAdapter for video metadata</name>
+  <name>Task 2: Implement BilibiliAdapter for video metadata with state recording</name>
   <files>kb_pipeline/platforms/bilibili.py, tests/test_platforms/test_bilibili.py</files>
   <behavior>
     - Test 1: fetch_metadata("BVxxx", "video") 返回正确的视频元数据
     - Test 2: 403错误时触发降级策略（API -> Playwright）
     - Test 3: 网络错误自动重试3次
     - Test 4: get_output_filename 返回正确格式 "bilibili_BVxxx_metadata.json"
+    - Test 5: 失败时调用 WorkflowStateManager.mark_step_failed() 记录错误
   </behavior>
   <action>
     创建 kb_pipeline/platforms/bilibili.py:
@@ -214,24 +237,32 @@ DEFAULT_HEADERS = {
     from kb_pipeline.platforms.base import PlatformAdapter
     from kb_pipeline.errors import NetworkError, AuthError
     from kb_pipeline.retry import retry_on_network_error
+    from kb_pipeline.state import WorkflowStateManager
     from kb_bilibili_metadata.bilibili_extractor import BilibiliExtractor
 
     class BilibiliAdapter(PlatformAdapter):
         PLATFORM = "bilibili"
 
-        def __init__(self, headless: bool = True, timeout: int = 30):
+        def __init__(self, headless: bool = True, timeout: int = 30, state_manager: Optional[WorkflowStateManager] = None):
             self.extractor = BilibiliExtractor(headless=headless, timeout=timeout)
+            self.state_manager = state_manager
 
         def get_content_type(self, url: str) -> str:
             # 从 URL 识别 video 或 article
 
         @retry_on_network_error
         async def fetch_metadata(self, content_id: str, content_type: str) -> Dict[str, Any]:
-            if content_type == "video":
-                return self.extractor.extract_video_metadata(content_id)
-            elif content_type == "article":
-                return self.extractor.extract_article_metadata(content_id)
-            raise ValueError(f"Unsupported content type: {content_type}")
+            try:
+                if content_type == "video":
+                    return self.extractor.extract_video_metadata(content_id)
+                elif content_type == "article":
+                    return self.extractor.extract_article_metadata(content_id)
+                raise ValueError(f"Unsupported content type: {content_type}")
+            except (NetworkError, AuthError) as e:
+                # 记录失败原因到状态文件
+                if self.state_manager:
+                    self.state_manager.mark_step_failed("metadata", str(e))
+                raise
 
         async def fetch_content(self, content_id: str, content_type: str) -> str:
             # 视频内容获取留给 Phase 3 (ASR)
@@ -246,11 +277,12 @@ DEFAULT_HEADERS = {
     - 使用 mock 模拟 BilibiliExtractor 的返回值
     - 测试视频元数据提取
     - 测试错误处理和重试机制
+    - 测试失败时状态记录到 WorkflowStateManager
   </action>
   <verify>
     <automated>pytest tests/test_platforms/test_bilibili.py::test_video_metadata -x -v</automated>
   </verify>
-  <done>BilibiliAdapter 能正确提取B站视频元数据，支持错误重试</done>
+  <done>BilibiliAdapter 能正确提取B站视频元数据，支持错误重试和状态记录</done>
 </task>
 
 <task type="auto" tdd="true">
@@ -328,6 +360,7 @@ DEFAULT_HEADERS = {
 - [ ] BilibiliAdapter 正确提取B站专栏内容和元数据
 - [ ] 内容保存为 Markdown 格式，包含 YAML Frontmatter
 - [ ] 网络错误自动重试3次
+- [ ] 403/超时错误触发降级策略，记录失败原因到 workflow_state.json
 - [ ] 所有测试通过（至少 8 个测试用例）
 </success_criteria>