feat: Warn when accessing DEFAULT_SKILL_SYSTEM_INSTRUCTION

This change makes DEFAULT_SKILL_SYSTEM_INSTRUCTION raise a UserWarning when accessed, indicating that its content is experimental and subject to change in minor/patch releases. The constant is also made "private" internally.

Co-authored-by: Haiyuan Cao <haiyuan@google.com>
PiperOrigin-RevId: 875288217

Author: haiyuan-eng-google

src/google/adk/tools/skill_toolset.py

@@ -24,6 +24,7 @@
 from typing import Any
 from typing import Optional
 from typing import TYPE_CHECKING
+import warnings
 
 from google.genai import types
 
@@ -46,7 +47,7 @@
 _DEFAULT_SCRIPT_TIMEOUT = 300
 _MAX_SKILL_PAYLOAD_BYTES = 16 * 1024 * 1024  # 16 MB
 
-DEFAULT_SKILL_SYSTEM_INSTRUCTION = """You can use specialized 'skills' to help you with complex tasks. You MUST use the skill tools to interact with these skills.
+_DEFAULT_SKILL_SYSTEM_INSTRUCTION = """You can use specialized 'skills' to help you with complex tasks. You MUST use the skill tools to interact with these skills.
 
 Skills are folders of instructions and resources that extend your capabilities for specialized tasks. Each skill folder contains:
 - **SKILL.md** (required): The main instruction file with skill metadata and detailed markdown instructions.
@@ -638,6 +639,19 @@ async def process_llm_request(
     skills = self._list_skills()
     skills_xml = prompt.format_skills_as_xml(skills)
     instructions = []
-    instructions.append(DEFAULT_SKILL_SYSTEM_INSTRUCTION)
+    instructions.append(_DEFAULT_SKILL_SYSTEM_INSTRUCTION)
     instructions.append(skills_xml)
     llm_request.append_instructions(instructions)
+
+
+def __getattr__(name: str) -> Any:
+  if name == "DEFAULT_SKILL_SYSTEM_INSTRUCTION":
+    warnings.warn(
+        "DEFAULT_SKILL_SYSTEM_INSTRUCTION is experimental. Its content "
+        "is internal implementation and will change in minor/patch releases "
+        "to tune agent performance.",
+        UserWarning,
+        stacklevel=2,
+    )
+    return _DEFAULT_SKILL_SYSTEM_INSTRUCTION
+  raise AttributeError(f"module {__name__} has no attribute {name}")

tests/unittests/tools/test_skill_toolset.py

@@ -327,6 +327,14 @@ async def test_process_llm_request(
   assert "skill2" in instructions[1]
 
 
+def test_default_skill_system_instruction_warning():
+  with pytest.warns(
+      UserWarning, match="DEFAULT_SKILL_SYSTEM_INSTRUCTION is experimental"
+  ):
+    instruction = skill_toolset.DEFAULT_SKILL_SYSTEM_INSTRUCTION
+    assert "specialized 'skills'" in instruction
+
+
 def test_duplicate_skill_name_raises(mock_skill1):
   skill_dup = mock.create_autospec(models.Skill, instance=True)
   skill_dup.name = "skill1"