feat: code quality audit + autoresearch integration + infra hardening (#150)

src/infrastructure/openfang/client.py

@@ -156,33 +156,23 @@ class OpenFangClient:
 
     async def browse(self, url: str, instruction: str = "") -> HandResult:
         """Web automation via OpenFang's Browser hand."""
-        return await self.execute_hand(
-            "browser", {"url": url, "instruction": instruction}
-        )
+        return await self.execute_hand("browser", {"url": url, "instruction": instruction})
 
     async def collect(self, target: str, depth: str = "shallow") -> HandResult:
         """OSINT collection via OpenFang's Collector hand."""
-        return await self.execute_hand(
-            "collector", {"target": target, "depth": depth}
-        )
+        return await self.execute_hand("collector", {"target": target, "depth": depth})
 
     async def predict(self, question: str, horizon: str = "1w") -> HandResult:
         """Superforecasting via OpenFang's Predictor hand."""
-        return await self.execute_hand(
-            "predictor", {"question": question, "horizon": horizon}
-        )
+        return await self.execute_hand("predictor", {"question": question, "horizon": horizon})
 
     async def find_leads(self, icp: str, max_results: int = 10) -> HandResult:
         """Prospect discovery via OpenFang's Lead hand."""
-        return await self.execute_hand(
-            "lead", {"icp": icp, "max_results": max_results}
-        )
+        return await self.execute_hand("lead", {"icp": icp, "max_results": max_results})
 
     async def research(self, topic: str, depth: str = "standard") -> HandResult:
         """Deep research via OpenFang's Researcher hand."""
-        return await self.execute_hand(
-            "researcher", {"topic": topic, "depth": depth}
-        )
+        return await self.execute_hand("researcher", {"topic": topic, "depth": depth})
 
     # ── Inventory ────────────────────────────────────────────────────────────
 

src/infrastructure/openfang/tools.py

@@ -22,9 +22,11 @@ from infrastructure.openfang.client import OPENFANG_HANDS, openfang_client
 try:
     from mcp.schemas.base import create_tool_schema
 except ImportError:
+
     def create_tool_schema(**kwargs):
         return kwargs
 
+
 logger = logging.getLogger(__name__)
 
 # ── Tool schemas ─────────────────────────────────────────────────────────────