diff --git a/backend/agenteval/web/app.py b/backend/agenteval/web/app.py
index 59fc057..4227c62 100644
--- a/backend/agenteval/web/app.py
+++ b/backend/agenteval/web/app.py
@@ -42,6 +42,25 @@ def _has_pending_task() -> bool:
         session.close()
 
 
+def _has_planning_eval() -> bool:
+    """True if any intelligent eval is waiting in ``planning`` (needs the OpenClaw planner)."""
+    from sqlmodel import select
+
+    from agenteval.intelligent_eval.models import IntelligentEvalStatus
+    from agenteval.storage.db import IntelligentEvalDB
+
+    session = get_session()
+    try:
+        ev = session.exec(
+            select(IntelligentEvalDB).where(
+                IntelligentEvalDB.status == IntelligentEvalStatus.PLANNING.value
+            )
+        ).first()
+        return ev is not None
+    finally:
+        session.close()
+
+
 def _supplement_decision_logs(session) -> int:
     """Platform audit backfill for decision logs.
 
@@ -206,13 +225,65 @@ async def _trigger_intelligent_worker() -> bool:
     return True
 
 
+async def _trigger_intelligent_planner() -> bool:
+    """Trigger OpenClaw's headless agent to run the planner skill.
+
+    方案③只自动化了 executing（worker）→ completed（analyst），**缺少 planning
+    阶段的 planner 触发**——新建或被打回的评估会永远停在 planning。这里对
+    planning 状态评估触发 `agenteval-intelligent-planner` skill：planner 自会
+    拉取 planning 评估列表、读取四件套、产出粗计划并 PUT /plan 提交（planner
+    skill 定义见 OpenClaw workspace skills）。处理完评估离开 planning 后不再触发。
+
+    Returns:
+        True 若确实触发了 agent（存在 planning 评估）。
+    """
+    if not _has_planning_eval():
+        return False
+
+    import subprocess
+
+    _logger = logging.getLogger("agenteval")
+    # 同 worker：`openclaw agent` 无 cron state，须带"立即完成"语义，否则 planner
+    # 会"决策后等下一拍"而死锁。
+    planner_msg = (
+        "执行 agenteval-intelligent-planner skill，立即完成当前任务，不要等待下一节拍："
+        "为 planning 状态的智能评估读取输入、产出粗计划并提交平台审批。"
+    )
+    try:
+        proc = await asyncio.to_thread(
+            subprocess.run,
+            [
+                "docker",
+                "exec",
+                "openclaw-eval",
+                "openclaw",
+                "agent",
+                "--agent",
+                "main",
+                "-m",
+                planner_msg,
+                "--json",
+            ],
+            capture_output=True,
+            text=True,
+            timeout=300,
+        )
+        _logger.info("Planner 触发完成 exit=%s", proc.returncode)
+        if proc.returncode != 0:
+            _logger.warning("Planner 触发 stderr: %s", proc.stderr[-300:])
+    except Exception as exc:
+        _logger.warning("Planner 触发失败（忽略）: %s", exc)
+    return True
+
+
 async def _intelligent_eval_scan_loop() -> None:
-    """Scan executing intelligent evals, enqueue tasks, and trigger the worker.
+    """Scan intelligent evals, enqueue tasks, and trigger planner/worker.
 
     v1.1.0 缺陷修复：`scan_and_enqueue_tasks` 此前没有调度点，OpenClaw Worker
-    每分钟唤醒却永远取不到任务。平台启动后每 60s：① 扫描 executing 的评估入队；
-    ② 若有 pending 任务则触发 OpenClaw agent 执行 worker skill（方案③，免外部
-    channel）。失败不阻断（下次循环继续）。
+    每分钟唤醒却永远取不到任务。平台启动后每 60s：
+    ① 有 planning 评估则触发 OpenClaw planner skill 产出粗计划（planning→待审批）；
+    ② 扫描 executing 的评估入队；③ 若有 pending 任务则触发 worker skill 执行会话/
+    分析（方案③，免外部 channel）。失败不阻断（下次循环继续）。
     """
     _logger = logging.getLogger("agenteval")
     while True:
@@ -242,6 +313,10 @@ async def _intelligent_eval_scan_loop() -> None:
             await _trigger_intelligent_worker()
         except Exception as exc:
             logging.getLogger("agenteval").warning("Worker 触发失败（忽略）: %s", exc)
+        try:
+            await _trigger_intelligent_planner()
+        except Exception as exc:
+            logging.getLogger("agenteval").warning("Planner 触发失败（忽略）: %s", exc)
         await asyncio.sleep(60)
 
 
diff --git a/tests/integration/test_intelligent_eval_scan_scheduler.py b/tests/integration/test_intelligent_eval_scan_scheduler.py
index ccd36f9..84040bd 100644
--- a/tests/integration/test_intelligent_eval_scan_scheduler.py
+++ b/tests/integration/test_intelligent_eval_scan_scheduler.py
@@ -111,6 +111,53 @@ def test_trigger_worker_msg_has_execute_semantics(monkeypatch):
     assert "agenteval-intelligent-analyst" in joined
 
 
+def test_trigger_planner_skips_when_no_planning(monkeypatch):
+    """No planning eval → no docker exec invocation."""
+    import asyncio
+    import subprocess
+    from unittest.mock import MagicMock
+
+    import agenteval.web.app as app_mod
+
+    calls: list = []
+    monkeypatch.setattr(app_mod, "_has_planning_eval", lambda: False)
+
+    def fake_run(cmd, **kwargs):
+        calls.append(cmd)
+        return MagicMock(returncode=0, stderr="")
+
+    monkeypatch.setattr(subprocess, "run", fake_run)
+
+    assert asyncio.run(app_mod._trigger_intelligent_planner()) is False
+    assert not calls, "should not invoke docker exec when no planning eval"
+
+
+def test_trigger_planner_calls_docker_exec(monkeypatch):
+    """Planning eval present → invoke `docker exec openclaw-eval openclaw agent` planner skill."""
+    import asyncio
+    import subprocess
+    from unittest.mock import MagicMock
+
+    import agenteval.web.app as app_mod
+
+    calls: list = []
+    monkeypatch.setattr(app_mod, "_has_planning_eval", lambda: True)
+
+    def fake_run(cmd, **kwargs):
+        calls.append(cmd)
+        return MagicMock(returncode=0, stderr="")
+
+    monkeypatch.setattr(subprocess, "run", fake_run)
+
+    assert asyncio.run(app_mod._trigger_intelligent_planner()) is True
+    assert calls, "docker exec should be invoked"
+    joined = " ".join(calls[0])
+    assert "docker" in joined and "openclaw" in joined
+    assert "agenteval-intelligent-planner" in joined
+    assert "立即完成当前任务" in joined
+    assert "不要等待下一节拍" in joined
+
+
 def test_supplement_execute_session_log(monkeypatch, db_session):
     """Executing eval with deficit and no execute_session log → platform backfills."""
     import agenteval.web.app as app_mod