add monthly revenue and PE/PBR query scripts

- twse-monthly-revenue.py: fetch monthly revenue from Yahoo Finance TW via Browserless (MOPS blocks direct API)
- twse-pe-pbr.py: fetch PE ratio, PBR, dividend yield from TWSE BWIBBU API

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

scripts/twse-monthly-revenue.py

@@ -0,0 +1,170 @@
+#!/usr/bin/env python3
+"""
+查詢個股月營收（Yahoo Finance TW + Browserless）
+
+用法：
+  python3 skills/stocks-query/scripts/twse-monthly-revenue.py 2330
+  python3 skills/stocks-query/scripts/twse-monthly-revenue.py 3481
+
+資料來源：Yahoo 奇摩股市（營收頁），營收單位：千元
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import re
+import subprocess
+import sys
+from pathlib import Path
+
+
+def load_dotenv() -> None:
+    """載入 .env（優先目前目錄，其次 workspace 根目錄）。"""
+    candidates = [
+        Path.cwd() / ".env",
+        Path(__file__).resolve().parents[3] / ".env",
+    ]
+    for env_path in candidates:
+        if not env_path.exists():
+            continue
+        for raw in env_path.read_text(encoding="utf-8").splitlines():
+            line = raw.strip()
+            if not line or line.startswith("#") or "=" not in line:
+                continue
+            k, v = line.split("=", 1)
+            k = k.strip()
+            v = v.strip().strip('"').strip("'")
+            if k and k not in os.environ:
+                os.environ[k] = v
+        break
+
+
+load_dotenv()
+ENDPOINT = os.getenv("BROWSERLESS_ENDPOINT")
+TOKEN = os.getenv("BROWSERLESS_TOKEN")
+if not ENDPOINT or not TOKEN:
+    raise RuntimeError("缺少必要環境變數：BROWSERLESS_ENDPOINT / BROWSERLESS_TOKEN")
+STOCK_NO = sys.argv[1] if len(sys.argv) > 1 else "2330"
+
+
+def fetch_html(stock_no: str) -> str:
+    url = f"https://tw.stock.yahoo.com/quote/{stock_no}.TW/revenue"
+    api = f"{ENDPOINT}/content?token={TOKEN}"
+    payload = json.dumps(
+        {
+            "url": url,
+            "gotoOptions": {"waitUntil": "domcontentloaded", "timeout": 60000},
+        },
+        ensure_ascii=False,
+    )
+
+    cmd = [
+        "curl", "-sS", "--max-time", "90",
+        "-X", "POST", api,
+        "-H", "Content-Type: application/json",
+        "-d", payload,
+    ]
+    try:
+        text = subprocess.check_output(cmd, text=True, timeout=95)
+    except subprocess.CalledProcessError as e:
+        raise RuntimeError(f"Browserless 呼叫失敗: {e}") from e
+    except subprocess.TimeoutExpired as e:
+        raise RuntimeError("Browserless 呼叫逾時") from e
+
+    if "TimeoutError" in text:
+        raise RuntimeError("Browserless 導航逾時（TimeoutError）")
+    return text
+
+
+def pick(html: str, pattern: str, default: str = "-") -> str:
+    m = re.search(pattern, html, flags=re.S)
+    return m.group(1) if m else default
+
+
+def parse_revenue(html: str, stock_no: str) -> dict:
+    name = pick(html, r'property="og:title" content="([^"(]+)\([0-9]+\.TW\)', "").strip()
+    if not name:
+        name = pick(html, r"<title>([^<(]+)\([0-9]+\.TW\)", stock_no).strip()
+
+    # 找 JSON 中的月營收資料（data 陣列內含 revenueMoM 欄位的物件）
+    obj_pat = re.compile(r'\{[^{}]*"revenueMoM":[^{}]*\}')
+    matches = obj_pat.findall(html)
+
+    if not matches:
+        raise RuntimeError("抓不到月營收資料（頁面結構可能變更）")
+
+    rows = []
+    for m in matches:
+        try:
+            obj = json.loads(m.replace("\\u002F", "/"))
+            rows.append(obj)
+        except json.JSONDecodeError:
+            continue
+
+    if not rows:
+        raise RuntimeError("無法解析月營收 JSON 資料")
+
+    # 依日期排序（最新在前）
+    rows.sort(key=lambda r: r.get("date", ""), reverse=True)
+
+    return {
+        "name": name,
+        "stock_no": stock_no,
+        "latest": rows[0],
+        "history": rows[:6],
+    }
+
+
+def fmt_pct(val) -> str:
+    """將小數比例轉為百分比字串。"""
+    try:
+        return f"{float(val) * 100:+.2f}%"
+    except (ValueError, TypeError):
+        return "-"
+
+
+def fmt_rev(val: str) -> str:
+    """千元營收加上千分位格式。"""
+    cleaned = str(val).replace(",", "")
+    try:
+        return f"{int(cleaned):,}"
+    except (ValueError, TypeError):
+        return val
+
+
+def print_summary(d: dict) -> None:
+    name = d["name"]
+    stock_no = d["stock_no"]
+    latest = d["latest"]
+    date = latest.get("date", "-")
+
+    print(f"{name}（{stock_no}）｜月營收摘要")
+    print(f"• 期間：{date}")
+    print(f"• 當月營收：{fmt_rev(latest.get('revenue', '-'))} 千元")
+    print(f"• 去年同月營收：{fmt_rev(latest.get('lastYearRevenue', '-'))} 千元")
+    print(f"• MoM（月增率）：{fmt_pct(latest.get('revenueMoM'))}")
+    print(f"• YoY（年增率）：{fmt_pct(latest.get('revenueYoY'))}")
+    print(f"• 當月累計營收：{fmt_rev(latest.get('revenueAcc', '-'))} 千元")
+    print(f"• 累計 YoY：{fmt_pct(latest.get('revenueYoYAcc'))}")
+
+    # 近期趨勢
+    history = d.get("history", [])
+    if len(history) > 1:
+        print(f"\n近 {len(history)} 月趨勢：")
+        for row in history:
+            rd = row.get("date", "-")
+            rv = fmt_rev(row.get("revenue", "-"))
+            mom = fmt_pct(row.get("revenueMoM"))
+            yoy = fmt_pct(row.get("revenueYoY"))
+            print(f"  {rd}｜{rv} 千元｜MoM {mom}｜YoY {yoy}")
+
+
+if __name__ == "__main__":
+    try:
+        html = fetch_html(STOCK_NO)
+        data = parse_revenue(html, STOCK_NO)
+        print_summary(data)
+    except Exception as e:
+        print(f"取得失敗：{e}", file=sys.stderr)
+        sys.exit(1)