diff --git a/evals/swe-bench/README.md b/evals/swe-bench/README.md
index c3e3619d3..e1f4c9366 100644
--- a/evals/swe-bench/README.md
+++ b/evals/swe-bench/README.md
@@ -32,7 +32,8 @@ python run_eval.py \
 
 **Monitor:**
 ```bash
-tail -f results/haiku-baseline/eval.log   # live per-instance results
+python status.py results/haiku-baseline    # quick summary
+tail -f results/haiku-baseline/eval.log    # live per-instance results
 fabro ps                                   # active sandboxes
 fabro logs <RUN_ID>                        # stream a specific run
 ```
@@ -55,6 +56,7 @@ python evaluate_daytona.py \
 
 **Monitor:**
 ```bash
+python status.py results/haiku-baseline/eval   # quick summary
 tail -f results/haiku-baseline/eval/eval_grade.log
 ```
 
@@ -98,6 +100,7 @@ cat scoreboard/leaderboard.json | python3 -m json.tool
 
 | File | Purpose |
 |------|---------|
+| `status.py` | Check progress of a running or completed generation/evaluation |
 | `run_eval.py` | Generate patches (step 1) |
 | `evaluate_daytona.py` | Evaluate patches on Daytona (step 2) |
 | `evaluate.py` | Evaluate patches via official swebench Docker harness (alternative to step 2) |
diff --git a/evals/swe-bench/status.py b/evals/swe-bench/status.py
new file mode 100644
index 000000000..0470064b5
--- /dev/null
+++ b/evals/swe-bench/status.py
@@ -0,0 +1,126 @@
+#!/usr/bin/env python3
+"""Check status of a running or completed SWE-bench generation or evaluation.
+
+Usage:
+    python status.py results/sonnet-baseline           # generation status
+    python status.py results/sonnet-baseline/eval      # eval status
+"""
+
+import json
+import subprocess
+import sys
+from collections import Counter
+from pathlib import Path
+
+
+def check_gen(d: Path):
+    preds = d / "predictions.jsonl"
+    results = d / "results.jsonl"
+
+    if not preds.exists() and not results.exists():
+        print(f"No results found in {d}")
+        return
+
+    pred_rows = [json.loads(l) for l in open(preds)] if preds.exists() else []
+    res_rows = [json.loads(l) for l in open(results)] if results.exists() else []
+
+    done = len(pred_rows)
+    patched = sum(1 for r in pred_rows if r.get("model_patch", "").strip())
+    statuses = Counter(r["status"] for r in res_rows)
+
+    durations = [r["duration_s"] for r in res_rows if r.get("duration_s")]
+    avg_dur = round(sum(durations) / len(durations), 0) if durations else 0
+
+    costs = []
+    for r in res_rows:
+        rd = r.get("fabro_run_dir")
+        if rd:
+            c = Path(rd) / "conclusion.json"
+            if c.exists():
+                try:
+                    costs.append(json.loads(c.read_text()).get("total_cost", 0))
+                except (json.JSONDecodeError, OSError):
+                    pass
+    total_cost = sum(costs)
+
+    model = "unknown"
+    if pred_rows:
+        model = pred_rows[0].get("model_name_or_path", "unknown")
+
+    print(f"Generation: {d}")
+    print(f"  Model:     {model}")
+    print(f"  Progress:  {done}/300")
+    print(f"  Patched:   {patched}/{done} ({100 * patched // max(done, 1)}%)")
+    print(f"  Avg time:  {avg_dur}s")
+    print(f"  Cost:      ${total_cost:.2f} so far")
+    print(f"  Statuses:  {dict(statuses)}")
+
+
+def check_eval(d: Path):
+    results_file = d / "eval_results.jsonl"
+
+    if not results_file.exists():
+        print(f"No eval results found in {d}")
+        return
+
+    rows = [json.loads(l) for l in open(results_file)]
+    done = len(rows)
+    resolved = sum(1 for r in rows if r.get("resolved"))
+    statuses = Counter(r["status"] for r in rows)
+
+    durations = [r["duration_s"] for r in rows if r.get("duration_s")]
+    avg_dur = round(sum(durations) / len(durations), 0) if durations else 0
+
+    print(f"Evaluation: {d}")
+    print(f"  Progress:  {done}/300")
+    print(f"  Resolved:  {resolved}/{done} ({100 * resolved // max(done, 1)}%)")
+    print(f"  Avg time:  {avg_dur}s")
+    print(f"  Statuses:  {dict(statuses)}")
+
+
+def check_infra():
+    try:
+        ps = subprocess.run(
+            ["fabro", "ps", "--json"], capture_output=True, text=True, timeout=5
+        )
+        runs = json.loads(ps.stdout) if ps.stdout.strip() else []
+        print(f"  Active:    {len(runs)} fabro runs")
+    except Exception:
+        print(f"  Active:    (could not reach fabro ps)")
+
+    try:
+        sb = subprocess.run(
+            ["daytona", "sandbox", "list"], capture_output=True, text=True, timeout=5
+        )
+        # Count UUIDs in output
+        import re
+        sandboxes = re.findall(r'[0-9a-f]{8}-[0-9a-f]{4}', sb.stdout)
+        count = len(sandboxes) // 3  # each UUID appears ~3 times in the output
+        print(f"  Sandboxes: {count} daytona sandboxes")
+    except Exception:
+        print(f"  Sandboxes: (could not reach daytona)")
+
+
+def main():
+    if len(sys.argv) < 2:
+        print("Usage: python status.py <results-dir>")
+        print("  e.g. python status.py results/sonnet-baseline")
+        print("       python status.py results/sonnet-baseline/eval")
+        sys.exit(1)
+
+    d = Path(sys.argv[1])
+
+    # Detect whether this is a gen dir or eval dir
+    if (d / "eval_results.jsonl").exists():
+        check_eval(d)
+    elif (d / "predictions.jsonl").exists() or (d / "results.jsonl").exists():
+        check_gen(d)
+    else:
+        print(f"No results found in {d}")
+
+    print()
+    check_infra()
+
+
+if __name__ == "__main__":
+    main()