Emit learning KPI rubric scores from curriculum assessment output (#1232)

Author: Copilot

.github/skills/curriculum-quantitative-assessment/curriculum_assessment.py

@@ -207,7 +207,7 @@ def overall_score_from_metrics(metrics: dict) -> tuple[dict, float]:
 def score_markdown(raw: str, filename: str, *, title: str | None = None) -> dict:
     metrics = collect_metrics_from_text(raw, filename, title=title)
     dim_scores, overall_score = overall_score_from_metrics(metrics)
-    return {**metrics, "dim_scores": dim_scores, "overall_score": overall_score}
+    return {**metrics, **dim_scores, "dim_scores": dim_scores, "overall_score": overall_score}
 
 
 def score_workshop_file(path: str | pathlib.Path) -> dict:

.github/skills/curriculum-quantitative-assessment/test_curriculum_assessment.py

@@ -0,0 +1,43 @@
+from __future__ import annotations
+
+import unittest
+
+from curriculum_assessment import DIMENSIONS, score_markdown
+
+
+SAMPLE_MARKDOWN = """# Example Step
+
+## 📋 Before You Start
+
+- Install the CLI.
+
+## Try it
+
+Run `gh aw compile`.
+
+```bash
+gh aw compile
+```
+
+## ✅ Checkpoint
+
+- [ ] You ran the command
+- [ ] You verified the output
+"""
+
+
+class ScoreMarkdownTests(unittest.TestCase):
+    def test_dimension_scores_are_emitted_at_top_level(self) -> None:
+        scored = score_markdown(SAMPLE_MARKDOWN, "example.md")
+
+        for dimension in DIMENSIONS:
+            self.assertIn(dimension, scored)
+            self.assertEqual(scored[dimension], scored["dim_scores"][dimension])
+
+        weighted_sum = sum(scored["dim_scores"][dimension] * weight for dimension, weight in DIMENSIONS.items())
+        expected_overall = round(weighted_sum / sum(DIMENSIONS.values()), 2)
+        self.assertEqual(scored["overall_score"], expected_overall)
+
+
+if __name__ == "__main__":
+    unittest.main()