feat: redesign HTML report with dark theme and larger fonts

- Replace colorful gradients with professional dark blue/black theme
- Purple (#8b5cf6) used as accent color only
- Increase all font sizes by 4pt minimum (18px base, 36px h1, 56px score)
- Use CSS custom properties for consistent theming
- Improve contrast for better readability (WCAG compliant)
- Fix attributes_skipped → attributes_not_assessed in remaining files

Closes #XX (P0 - Critical UX improvement)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: jeremyeder

src/agentready/cli/demo.py

@@ -489,7 +489,7 @@ def demo(language, no_browser, keep_repo):
             overall_score=overall_score,
             certification_level=certification_level,
             attributes_assessed=assessed,
-            attributes_skipped=skipped,
+            attributes_not_assessed=skipped,
             attributes_total=len(findings),
             findings=findings,
             config=None,

src/agentready/cli/main.py

@@ -230,7 +230,7 @@ def run_assessment(repository_path, verbose, output_dir, config_path):
     click.echo(
         f"  Assessed: {assessment.attributes_assessed}/{assessment.attributes_total}"
     )
-    click.echo(f"  Skipped: {assessment.attributes_skipped}")
+    click.echo(f"  Skipped: {assessment.attributes_not_assessed}")
     click.echo(f"  Duration: {assessment.duration_seconds:.1f}s")
     click.echo("\nReports generated:")
     click.echo(f"  JSON: {json_file}")

src/agentready/services/learning_service.py

@@ -138,7 +138,9 @@ def extract_patterns_from_file(
             overall_score=assessment_data["overall_score"],
             certification_level=assessment_data["certification_level"],
             attributes_assessed=assessment_data["attributes_assessed"],
-            attributes_skipped=assessment_data["attributes_skipped"],
+            attributes_not_assessed=assessment_data.get(
+                "attributes_not_assessed", assessment_data.get("attributes_skipped", 0)
+            ),
             attributes_total=assessment_data["attributes_total"],
             findings=findings,
             config=None,  # Skip config for now