feat(mma): Implement Context Amnesia bridge via subprocess

tests/test_mma_exec.py

@@ -1,5 +1,6 @@
 import pytest
-from scripts.mma_exec import create_parser, get_role_documents
+from unittest.mock import patch, MagicMock
+from scripts.mma_exec import create_parser, get_role_documents, execute_agent
 
 def test_parser_role_choices():
     """Test that the parser accepts valid roles and the prompt argument."""
@@ -36,4 +37,35 @@ def test_get_role_documents():
     assert get_role_documents('tier1') == ['conductor/product.md', 'conductor/product-guidelines.md']
     assert get_role_documents('tier2') == ['conductor/tech-stack.md', 'conductor/workflow.md']
     assert get_role_documents('tier3') == ['conductor/workflow.md']
-    assert get_role_documents('tier4') == []
+    assert get_role_documents('tier4') == []
+
+def test_execute_agent():
+    """
+    Test that execute_agent calls subprocess.run with the correct gemini CLI arguments
+    for context amnesia.
+    """
+    role = "tier3"
+    prompt = "Write a unit test."
+    docs = ["file1.py", "docs/spec.md"]
+    
+    expected_gemini_arg = "Activate the mma-tier3 skill. Write a unit test. @file1.py @docs/spec.md"
+    mock_stdout = "Mocked AI Response"
+
+    with patch("subprocess.run") as mock_run:
+        mock_process = MagicMock()
+        mock_process.stdout = mock_stdout
+        mock_process.returncode = 0
+        mock_run.return_value = mock_process
+
+        result = execute_agent(role, prompt, docs)
+
+        mock_run.assert_called_once()
+        args, kwargs = mock_run.call_args
+        cmd_list = args[0]
+        
+        assert cmd_list[0] == "gemini"
+        assert cmd_list[1] == expected_gemini_arg
+        assert kwargs.get("capture_output") is True
+        assert kwargs.get("text") is True
+        
+        assert result == mock_stdout