docs(readme): embed dashboard screenshots

Author: Aadarsh Kadam

README.md

@@ -20,6 +20,27 @@ Each rule's precision figure is classified as **earned** (14 rules — the benig
 
 ---
 
+## Dashboard
+
+The dashboard presents the detection corpus, the precision measurements, and the documented gaps as a single static site. Served via any HTTP server over the `dist/` directory — no build step, no backend, four JSON contract files read at runtime.
+
+![Overview](docs/screenshots/dashboard-overview.png)
+*Overview — headline metrics. The earned-vs-structural-absence split renders at the same prominence as the mean-precision figure; the honesty meter in the sidebar surfaces the 14/6 split, conversion tally, and FP count.*
+
+![Rules](docs/screenshots/dashboard-rules.png)
+*Rules — sortable, filterable, expandable table of all 20 rules. T1059.001's 0.933 precision and single false positive surface inline (highlighted), not rounded away. Filter by classification or logsource; expand any row for the Sigma source and the three converted backend queries.*
+
+![Coverage](docs/screenshots/dashboard-coverage.png)
+*Coverage — ATT&CK tactic-column grid. 26 direct technique cells and 16 parent-rollup cells (dashed). Every non-rollup cell carries its classification chip; T1059.001 and T1027 render with an FP background because the underlying rule has one.*
+
+![Trends](docs/screenshots/dashboard-trends.png)
+*Trends — single-snapshot state. `first_snapshot_date` equals `built_date`, so each chart renders the current value as a horizontal level with a single marker. Successive `forge build` runs append points and the sparklines widen automatically.*
+
+![Gaps](docs/screenshots/dashboard-gaps.png)
+*Gaps — three deferred techniques with class (Class 1 / Class 3), prerequisite type, and reason from `dashboard_meta.json`. The structural-absence inventory continues below this fold. Named, not hidden.*
+
+---
+
 ## Verify in 5 minutes
 
 ```bash