Add FGAC policy governance to Unity Catalog skill

.test/skills/_routing/ground_truth.yaml

@@ -80,6 +80,118 @@ test_cases:
       difficulty: "easy"
       reasoning: "Mentions 'genai.evaluate' - MLflow evaluation trigger"
 
+  # Single-skill routing - UC FGAC Governance
+  - id: "routing_fgac_001"
+    inputs:
+      prompt: "Create an FGAC column mask policy for SSN columns"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "easy"
+      reasoning: "Mentions 'FGAC' and 'column mask policy' - UC FGAC governance"
+
+  - id: "routing_fgac_002"
+    inputs:
+      prompt: "How do I apply governed tags to columns for PII classification?"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "easy"
+      reasoning: "Mentions 'governed tags' and 'PII classification' - UC FGAC governance"
+
+  - id: "routing_fgac_003"
+    inputs:
+      prompt: "Write a masking UDF that hides email addresses and bind it to a policy"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "medium"
+      reasoning: "Mentions 'masking UDF' and 'policy' - UC FGAC governance"
+
+  - id: "routing_fgac_004"
+    inputs:
+      prompt: "List all FGAC policies on my catalog using the Python SDK"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "medium"
+      reasoning: "Mentions 'FGAC policies' - UC FGAC governance over generic SDK skill"
+
+  - id: "routing_fgac_005"
+    inputs:
+      prompt: "Create a row filter policy to hide EU data from the US team"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "easy"
+      reasoning: "Mentions 'row filter policy' - UC FGAC governance"
+
+  - id: "routing_fgac_006"
+    inputs:
+      prompt: "How do I use CREATE POLICY with hasTagValue to mask credit card columns?"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "medium"
+      reasoning: "Mentions 'CREATE POLICY' and 'hasTagValue' - UC FGAC governance"
+
+  - id: "routing_fgac_007"
+    inputs:
+      prompt: "Set up FGAC policies for PII masking and query the audit logs to verify who accessed the masked columns"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "hard"
+      reasoning: "Both FGAC policies and audit logs are in databricks-unity-catalog"
+
+  # Single-skill routing - UC ACLs
+  - id: "routing_acl_001"
+    inputs:
+      prompt: "Grant SELECT access on a table to the data_readers group"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "easy"
+      reasoning: "Mentions 'Grant SELECT' - UC ACL operation"
+
+  - id: "routing_acl_002"
+    inputs:
+      prompt: "How do I revoke write permissions from a group on a schema?"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "easy"
+      reasoning: "Mentions 'revoke' and 'permissions' on 'schema' - UC ACL operation"
+
+  - id: "routing_acl_003"
+    inputs:
+      prompt: "Set up read-only access for the analytics team on the gold schema"
+    expectations:
+      expected_skills: ["databricks-unity-catalog"]
+      is_multi_skill: false
+    metadata:
+      category: "single_skill"
+      difficulty: "medium"
+      reasoning: "Access setup on schema with role-based pattern - UC ACL operation"
+
   # Multi-skill routing
   - id: "routing_multi_001"
     inputs:

.test/skills/databricks-unity-catalog/candidates.yaml

@@ -0,0 +1,12 @@
+---
+# Candidate test cases pending review for databricks-unity-catalog skill
+# Add new test cases here for review before promoting to ground_truth.yaml
+#
+# Workflow:
+# 1. Generate response for a new prompt
+# 2. Add to candidates with review_status: "pending"
+# 3. Execute on Databricks to verify
+# 4. Run MLflow evaluation
+# 5. If passed, promote to ground_truth.yaml
+
+candidates: []