chore: remove outdated pr-review skill (#3028)

* chore: remove outdated pr-review skill

The .qwen/skills/pr-review skill is outdated and no longer needed.
Also removes the dangling reference from terminal-capture skill.

* chore: add token-stats script to e2e-testing skill

* fix(test): remove flaky AskUserQuestionDialog Submit tab test

The "shows Submit tab for multiple questions" test fails on macOS CI
due to terminal width truncation causing "Submit answers" to render
as just "Submit".

.qwen/skills/e2e-testing/scripts/token-stats.py

@@ -0,0 +1,70 @@
+#!/usr/bin/env python3
+"""Display token usage stats from the last X request logs in ~/.qwen/logs."""
+
+import argparse
+import json
+from pathlib import Path
+
+
+def parse_args():
+    p = argparse.ArgumentParser(description="Show token stats from qwen request logs")
+    p.add_argument("count", nargs="?", type=int, default=10, help="Number of recent logs to show (default: 10)")
+    p.add_argument("--log-dir", default=Path.home() / ".qwen" / "logs", type=Path)
+    return p.parse_args()
+
+
+def load_logs(log_dir: Path, count: int):
+    files = sorted(log_dir.glob("*.json"))
+    for f in files[-count:]:
+        try:
+            with open(f) as fh:
+                yield json.load(fh), f.name
+        except (json.JSONDecodeError, OSError):
+            continue
+
+
+def main():
+    args = parse_args()
+    if not args.log_dir.is_dir():
+        print(f"Log directory not found: {args.log_dir}")
+        return
+
+    rows = []
+    total_input = total_cached = total_output = 0
+
+    for data, fname in load_logs(args.log_dir, args.count):
+        ts = data.get("timestamp", "?")
+        model = data.get("request", {}).get("model", "?")
+        usage = data.get("response", {}).get("usage", {})
+
+        input_tok = usage.get("prompt_tokens", 0)
+        output_tok = usage.get("completion_tokens", 0)
+        cached_tok = usage.get("prompt_tokens_details", {}).get("cached_tokens", 0)
+        cache_rate = (cached_tok / input_tok * 100) if input_tok else 0
+
+        total_input += input_tok
+        total_cached += cached_tok
+        total_output += output_tok
+
+        rows.append((ts, model, input_tok, cached_tok, output_tok, cache_rate))
+
+    if not rows:
+        print("No logs found.")
+        return
+
+    # Print table
+    hdr = f"{'Timestamp':<28} {'Model':<16} {'Input':>8} {'Cached':>8} {'Output':>8} {'Cache%':>7}"
+    sep = "-" * len(hdr)
+    print(hdr)
+    print(sep)
+    for ts, model, inp, cached, out, rate in rows:
+        print(f"{ts:<28} {model:<16} {inp:>8,} {cached:>8,} {out:>8,} {rate:>6.1f}%")
+
+    # Totals
+    print(sep)
+    overall_rate = (total_cached / total_input * 100) if total_input else 0
+    print(f"{'TOTAL':<28} {'':<16} {total_input:>8,} {total_cached:>8,} {total_output:>8,} {overall_rate:>6.1f}%")
+
+
+if __name__ == "__main__":
+    main()