feat(agent): complete EvoAgent integration for all 6 agent roles

Migrate all agent roles from Legacy to EvoAgent architecture:
- fundamentals_analyst, technical_analyst, sentiment_analyst, valuation_analyst
- risk_manager, portfolio_manager

Key changes:
- EvoAgent now supports Portfolio Manager compatibility methods (_make_decision,
  get_decisions, get_portfolio_state, load_portfolio_state, update_portfolio)
- Add UnifiedAgentFactory for centralized agent creation
- ToolGuard with batch approval API and WebSocket broadcast
- Legacy agents marked deprecated (AnalystAgent, RiskAgent, PMAgent)
- Remove backend/agents/compat.py migration shim
- Add run_id alongside workspace_id for semantic clarity
- Complete integration test coverage (13 tests)
- All smoke tests passing for 6 agent roles

Constraint: Must maintain backward compatibility with existing run configs
Constraint: Memory support must work with EvoAgent (no fallback to Legacy)
Rejected: Separate PM implementation for EvoAgent | unified approach cleaner
Confidence: high
Scope-risk: broad
Directive: EVO_AGENT_IDS env var still respected but defaults to all roles
Not-tested: Kubernetes sandbox mode for skill execution

scripts/test_sandbox_simple.py

@@ -0,0 +1,96 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+简化测试 - 验证沙盒执行器基本功能
+"""
+
+import os
+import sys
+import warnings
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "backend"))
+
+os.environ["SKILL_SANDBOX_MODE"] = "none"
+
+
+def test_import():
+    """测试导入"""
+    print("测试 1: 导入沙盒执行器")
+    from backend.tools.sandboxed_executor import get_sandbox, SkillSandbox
+
+    # 重置单例
+    SkillSandbox._instance = None
+
+    sandbox = get_sandbox()
+    print(f"  ✓ 模式: {sandbox.current_mode}")
+    print(f"  ✓ 后端: {type(sandbox._backend).__name__}")
+    return sandbox
+
+
+def test_no_sandbox_backend():
+    """测试无沙盒后端"""
+    print("\n测试 2: 无沙盒后端")
+    from backend.tools.sandboxed_executor import NoSandboxBackend
+
+    backend = NoSandboxBackend()
+
+    # 测试函数名解析
+    test_cases = [
+        ("build_dcf_report", "dcf_report"),
+        ("build_ev_ebitda_report", "multiple_valuation_report"),
+        ("build_owner_earnings_report", "owner_earnings_report"),
+        ("build_residual_income_report", "multiple_valuation_report"),
+    ]
+
+    for func_name, expected_script in test_cases:
+        script_name = backend._get_script_name(func_name)
+        assert script_name == expected_script, f"期望 {expected_script}, 实际 {script_name}"
+        print(f"  ✓ {func_name} -> {script_name}")
+
+
+def test_module_resolution():
+    """测试模块解析"""
+    print("\n测试 3: 模块路径解析")
+
+    from backend.tools.sandboxed_executor import NoSandboxBackend
+
+    backend = NoSandboxBackend()
+    skill_name = "builtin/valuation_review"
+    function_name = "build_dcf_report"
+
+    module_path = f"backend.skills.{skill_name.replace('/', '.')}.scripts"
+    script_name = backend._get_script_name(function_name)
+    submodule_path = f"{module_path}.{script_name}"
+
+    print(f"  技能名: {skill_name}")
+    print(f"  函数名: {function_name}")
+    print(f"  模块路径: {submodule_path}")
+
+    # 尝试导入
+    try:
+        module = __import__(submodule_path, fromlist=[function_name])
+        func = getattr(module, function_name)
+        print(f"  ✓ 成功导入函数: {func.__name__}")
+    except Exception as e:
+        print(f"  ✗ 导入失败: {e}")
+
+
+def main():
+    print("=" * 50)
+    print("沙盒执行器简化测试")
+    print("=" * 50)
+
+    # 抑制警告
+    warnings.filterwarnings("ignore", category=RuntimeWarning)
+
+    test_import()
+    test_no_sandbox_backend()
+    test_module_resolution()
+
+    print("\n" + "=" * 50)
+    print("测试完成")
+    print("=" * 50)
+
+
+if __name__ == "__main__":
+    main()