chore(工作区): 纳入版本控制基线（回收 411 MB 过程产物）

回收 411 MB（470 M → 58.8 M），全部经回收站，可恢复：
- 待清理/（146.2 M，含 relay 分片 128 M 与 42 项过程目录）
- tmp/（32.4 M，按接续棒命名的过程临时区）
- .workbuddy/tmp/（39.5 M）
- 4 份 workbuddy.db 冗余副本（101 M，09-23 事故的坏副本 / 抢救产物）
- tmp/im16/gw/centrifugo 二进制（63.9 M，可重下）+ 缓存残留

入库范围：常驻规则（CODEBUDDY.md / README.md / state.py）、在途接续入口与
接续包、docs/、交付物/、交接单/、归档/、scripts/、.codebuddy/、
.workbuddy/memory/；共 398 件，其中 >60 KB 的 26 件全为文档。

排除（.gitignore）：tmp/、待清理/、运行态日志与缓存、*.db 与 DB 备份整目录、
打包二进制（*.tar.gz / *.tgz）、记忆修复前备份。

.workbuddy/tools/find-session-by-title.py

@@ -0,0 +1,82 @@
+# -*- coding: utf-8 -*-
+"""在全部转录里按 ai-title 找「评估代码清理影响并整理」，并顺便给每个会话的身份卡。"""
+import io
+import json
+import os
+import re
+
+ROOT = r"E:\ProgramData\.workbuddy\projects"
+KW = ["清理", "评估", "整理"]
+out = []
+for proj in os.listdir(ROOT):
+    d = os.path.join(ROOT, proj)
+    if not os.path.isdir(d):
+        continue
+    for fn in os.listdir(d):
+        if not fn.endswith(".jsonl"):
+            continue
+        p = os.path.join(d, fn)
+        titles = []
+        n_user = 0
+        first_real = None
+        try:
+            with io.open(p, encoding="utf-8", errors="replace") as f:
+                for ln in f:
+                    if '"ai-title"' not in ln and "<user_query>" not in ln:
+                        continue
+                    try:
+                        o = json.loads(ln)
+                    except Exception:
+                        continue
+                    if o.get("type") == "ai-title":
+                        titles.append(o.get("aiTitle", ""))
+                    if o.get("type") == "message" and o.get("role") == "user":
+                        t = o.get("content")
+                        s = "".join(x.get("text", "") for x in t if isinstance(x, dict)) if isinstance(t, list) else str(t)
+                        if "<user_query>" in s and first_real is None:
+                            first_real = " ".join(s.split())[:90]
+                        n_user += 1
+        except Exception:
+            continue
+        blob = " ".join(titles)
+        if any(k in blob for k in KW):
+            out.append((os.path.getsize(p), proj, fn, titles, n_user, first_real))
+
+print("=" * 78)
+print("按标题命中「清理/评估/整理」的会话")
+print("=" * 78)
+for size, proj, fn, titles, nu, fr in sorted(out, key=lambda x: -x[0]):
+    print("  %s  %6.1f MB  user=%d" % (fn[:8], size / 1024 / 1024, nu))
+    print("      工作区: %s" % proj)
+    print("      标题  : %s" % titles)
+    print("      首问  : %s" % fr)
+    print()
+
+print("=" * 78)
+print("本工作区全部会话的身份卡（标题 + 首问），供交叉确认")
+print("=" * 78)
+d = os.path.join(ROOT, "e-ProgramData-AI技能-aliyun-dsh-server")
+for fn in sorted(os.listdir(d)):
+    if not fn.endswith(".jsonl"):
+        continue
+    p = os.path.join(d, fn)
+    titles, fr, last = [], None, None
+    with io.open(p, encoding="utf-8", errors="replace") as f:
+        for ln in f:
+            if '"ai-title"' not in ln and '"<user_query>"' not in ln:
+                continue
+            try:
+                o = json.loads(ln)
+            except Exception:
+                continue
+            if o.get("type") == "ai-title":
+                titles.append(o.get("aiTitle", ""))
+            if o.get("type") == "message" and o.get("role") == "user":
+                t = o.get("content")
+                s = "".join(x.get("text", "") for x in t if isinstance(x, dict)) if isinstance(t, list) else str(t)
+                if "<user_query>" in s and fr is None:
+                    fr = " ".join(s.split())[:80]
+                last = o.get("timestamp")
+    print("  %s  %5.1f MB  %s" % (fn[:8], os.path.getsize(p) / 1024 / 1024, titles))
+    print("      首问: %s" % fr)
+    print("      末条 ts: %s" % last)