feat: add mandatory UTF-8 baseline skill injection

openspace/skills/default-utf8-encoding/SKILL.md

@@ -0,0 +1,20 @@
+---
+name: default-utf8-encoding
+description: Baseline file encoding policy. Always use UTF-8 for created or edited text files unless the project explicitly requires another encoding.
+---
+
+# UTF-8 Baseline
+
+This is a mandatory baseline skill for local development.
+
+## Rules
+
+1. Default encoding for all newly created or edited text files is UTF-8.
+2. Preserve existing non-UTF-8 encoding only when the target file is already using it and changing encoding may break runtime behavior.
+3. When uncertain about file encoding, prefer safe read/modify/write steps that keep file content valid and avoid mojibake.
+4. For JSON, Markdown, YAML, Python, TypeScript, and shell scripts, treat UTF-8 as the standard unless the repository explicitly states otherwise.
+
+## Output Hygiene
+
+1. Avoid introducing garbled characters caused by encoding mismatch.
+2. Keep line endings and formatting consistent with repository conventions.

openspace/tool_layer.py

@@ -19,6 +19,8 @@ from openspace.utils.logging import Logger
 
 logger = Logger.get_logger(__name__)
 
+MANDATORY_SKILL_NAME = "default-utf8-encoding"
+
 
 @dataclass
 class OpenSpaceConfig:
@@ -704,6 +706,20 @@ class OpenSpace:
                 "selected": [],
             }
 
+        # Always inject built-in UTF-8 baseline guidance when available.
+        forced_skill_ids: List[str] = []
+        forced_meta = self._skill_registry.get_skill_by_name(MANDATORY_SKILL_NAME)
+        if forced_meta:
+            already_selected = {s.skill_id for s in selected}
+            if forced_meta.skill_id not in already_selected:
+                selected.insert(0, forced_meta)
+            forced_skill_ids.append(forced_meta.skill_id)
+            logger.debug(f"Forced baseline skill: {forced_meta.skill_id}")
+
+        if selection_record is not None and forced_skill_ids:
+            selection_record["forced_skills"] = forced_skill_ids
+            selection_record["selected"] = [s.skill_id for s in selected]
+
         # Record skill selection to metadata.json
         if self._recording_manager and selection_record:
             # Add model info to the record

tests/test_utf8_baseline_skill.py

@@ -0,0 +1,129 @@
+import importlib
+import sys
+import types
+import unittest
+
+
+def _install_tool_layer_stubs():
+    agents_mod = types.ModuleType("openspace.agents")
+    agents_mod.GroundingAgent = type("GroundingAgent", (), {})
+
+    llm_mod = types.ModuleType("openspace.llm")
+    llm_mod.LLMClient = type("LLMClient", (), {"__init__": lambda self, *a, **k: None})
+
+    grounding_client_mod = types.ModuleType("openspace.grounding.core.grounding_client")
+    grounding_client_mod.GroundingClient = type("GroundingClient", (), {})
+
+    config_mod = types.ModuleType("openspace.config")
+    config_mod.get_config = lambda: None
+    config_mod.load_config = lambda *args, **kwargs: None
+
+    config_loader_mod = types.ModuleType("openspace.config.loader")
+    config_loader_mod.get_agent_config = lambda *args, **kwargs: None
+
+    recording_mod = types.ModuleType("openspace.recording")
+    recording_mod.RecordingManager = type("RecordingManager", (), {})
+
+    skill_engine_mod = types.ModuleType("openspace.skill_engine")
+    skill_engine_mod.SkillRegistry = type("SkillRegistry", (), {})
+    skill_engine_mod.ExecutionAnalyzer = type("ExecutionAnalyzer", (), {})
+    skill_engine_mod.SkillStore = type("SkillStore", (), {})
+
+    evolver_mod = types.ModuleType("openspace.skill_engine.evolver")
+    evolver_mod.SkillEvolver = type("SkillEvolver", (), {})
+
+    logging_mod = types.ModuleType("openspace.utils.logging")
+
+    class Logger:
+        @staticmethod
+        def get_logger(name):
+            return types.SimpleNamespace(
+                info=lambda *a, **k: None,
+                debug=lambda *a, **k: None,
+                warning=lambda *a, **k: None,
+                error=lambda *a, **k: None,
+            )
+
+    logging_mod.Logger = Logger
+
+    stubs = {
+        "openspace.agents": agents_mod,
+        "openspace.llm": llm_mod,
+        "openspace.grounding.core.grounding_client": grounding_client_mod,
+        "openspace.config": config_mod,
+        "openspace.config.loader": config_loader_mod,
+        "openspace.recording": recording_mod,
+        "openspace.skill_engine": skill_engine_mod,
+        "openspace.skill_engine.evolver": evolver_mod,
+        "openspace.utils.logging": logging_mod,
+    }
+
+    originals = {name: sys.modules.get(name) for name in stubs}
+    sys.modules.update(stubs)
+    return originals
+
+
+class UTF8BaselineSkillTests(unittest.IsolatedAsyncioTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls._originals = _install_tool_layer_stubs()
+        sys.modules.pop("openspace.tool_layer", None)
+        cls.tool_layer = importlib.import_module("openspace.tool_layer")
+
+    @classmethod
+    def tearDownClass(cls):
+        sys.modules.pop("openspace.tool_layer", None)
+        for name, module in cls._originals.items():
+            if module is None:
+                sys.modules.pop(name, None)
+            else:
+                sys.modules[name] = module
+
+    async def test_select_and_inject_skills_always_includes_utf8_baseline(self):
+        config = self.tool_layer.OpenSpaceConfig()
+        openspace = self.tool_layer.OpenSpace(config)
+
+        forced_meta = types.SimpleNamespace(
+            skill_id="default-utf8-encoding__imp_abc12345",
+            name="default-utf8-encoding",
+            description="baseline",
+        )
+
+        class FakeRegistry:
+            async def select_skills_with_llm(self, task, llm_client, max_skills, skill_quality):
+                return [], {"method": "llm", "selected": []}
+
+            def get_skill_by_name(self, name):
+                if name == "default-utf8-encoding":
+                    return forced_meta
+                return None
+
+            def build_context_injection(self, skills, backends=None):
+                return "|".join(s.skill_id for s in skills)
+
+        injected = {}
+
+        class FakeAgent:
+            backend_scope = ["shell"]
+
+            def set_skill_context(self, context_text, skill_ids):
+                injected["context_text"] = context_text
+                injected["skill_ids"] = list(skill_ids)
+
+            def clear_skill_context(self):
+                injected["cleared"] = True
+
+        openspace._skill_registry = FakeRegistry()
+        openspace._grounding_agent = FakeAgent()
+        openspace._recording_manager = None
+        openspace._skill_store = None
+        openspace._get_skill_selection_llm = lambda: object()
+
+        selected = await openspace._select_and_inject_skills("any task")
+
+        self.assertTrue(selected)
+        self.assertIn(forced_meta.skill_id, injected["skill_ids"])
+
+
+if __name__ == "__main__":
+    unittest.main()