diff --git a/tools/vrr_lexicon_verdict.py b/tools/vrr_lexicon_verdict.py
new file mode 100644
index 00000000..994265f7
--- /dev/null
+++ b/tools/vrr_lexicon_verdict.py
@@ -0,0 +1,96 @@
+"""WO81 — the first VRR verdict: lexicon from pinned tashkeela, scored
+against the frozen frontier-predictions-v1 runs.
+
+Lexicon source is DECLARED in the verdict (tashkeela, classical
+register, community-vintage vocalization) — VRR is reported beside
+DER, never instead of it; the licensed set is only as good as its
+source.
+
+Usage (cpu-basic, isx-training mounted rw at /ckpt):
+    python /ckpt/run-081-vrr/vrr_lexicon_verdict.py
+"""
+
+from __future__ import annotations
+
+import json
+import time
+import urllib.request
+from collections import defaultdict
+from pathlib import Path
+
+from huggingface_hub import hf_hub_download
+
+from sadeedbench.vrr import score_text_vrr, strip_harakat
+
+OUT = Path("/ckpt") / "run-081-vrr"
+RELEASE = ("https://github.com/interscript/interscript-models/releases/"
+           "download/frontier-predictions-v1/")
+RUNS = ["run-006-r7-muon-final_preds.jsonl",   # rung 2.0
+        "run-007-r7-muon-6ep-final_preds.jsonl"]  # rung 2.1
+LEXICON_FILES = [f"tashkeela-full/train-00{i}.txt" for i in (1, 2, 3)]
+
+
+def build_lexicon() -> dict[str, set[str]]:
+    lex: dict[str, set[str]] = defaultdict(set)
+    for name in LEXICON_FILES:
+        p = hf_hub_download("Interscript/arabic-r8", name, repo_type="dataset")
+        t0 = time.time()
+        n = 0
+        with open(p, encoding="utf-8") as f:
+            for line in f:
+                for w in line.split():
+                    s = strip_harakat(w)
+                    if w != s:
+                        lex[s].add(w)
+                        n += 1
+        print(f"[lex] {name}: +{n} readings ({time.time()-t0:.0f}s), "
+              f"skeletons={len(lex)}", flush=True)
+    return dict(lex)
+
+
+def fetch_preds(name: str) -> list[dict]:
+    url = RELEASE + name
+    rows = []
+    with urllib.request.urlopen(url, timeout=120) as r:
+        for line in r:
+            if line.strip():
+                rows.append(json.loads(line))
+    return rows
+
+
+def main() -> None:
+    OUT.mkdir(parents=True, exist_ok=True)
+    lex = build_lexicon()
+    verdict = {
+        "lexicon": {
+            "source": "Interscript/arabic-r8@main tashkeela-full/train-001..003",
+            "skeletons": len(lex),
+            "note": "classical community-vintage vocalization; declared "
+                    "source, not an authority",
+        },
+        "runs": {},
+    }
+    for name in RUNS:
+        rows = fetch_preds(name)
+        agg = {"student": [0, 0], "teacher": [0, 0]}
+        for r in rows:
+            for col, key in (("student", "student"), ("teacher", "teacher")):
+                v, t = score_text_vrr(r["src"], r[key], lex)
+                agg[col][0] += v
+                agg[col][1] += t
+        entry = {
+            col: {"valid": v, "total": t,
+                  "vrr": round(v / t, 4) if t else 0.0}
+            for col, (v, t) in agg.items()
+        }
+        verdict["runs"][name] = entry
+        print(f"[vrr] {name}: {json.dumps(entry)}", flush=True)
+
+    out = OUT / "vrr-verdict.json"
+    out.write_text(json.dumps(verdict, ensure_ascii=False, indent=2),
+                   encoding="utf-8")
+    print(f"[done] {out}", flush=True)
+
+
+if __name__ == "__main__":
+    main()