同步：脚本创作技能深度优化、账号分析技能重构、知识库调整

.workbuddy/tmp_refcheck.py

@@ -0,0 +1,95 @@
+# -*- coding: utf-8 -*-
+"""引用完整性检查 v2：全角标点 + 分块N解析 + KB内部引用"""
+import os, re
+
+BASE = r"D:/AgentSkill/MCNVideo AI/project/短视频脚本创作/V1.0/脚本创作技能"
+KB = os.path.join(BASE, "references", "知识库")
+
+kb_files = {}
+for d in sorted(os.listdir(KB)):
+    dp = os.path.join(KB, d)
+    if os.path.isdir(dp):
+        kb_files[d] = sorted(f for f in os.listdir(dp) if f.endswith(".md"))
+total = sum(len(v) for v in kb_files.values())
+
+# 分块前缀分类：文件名以"分块N_"开头的分类，允许 分块N 引用方式
+block_cats = {c: {int(re.match(r'分块(\d+)_', f).group(1)): f for f in fs if re.match(r'分块(\d+)_', f)}
+              for c, fs in kb_files.items()}
+
+scan_files = []
+for sub in ["创作流程"]:
+    p = os.path.join(BASE, "references", sub)
+    for f in sorted(os.listdir(p)):
+        if f.endswith(".md"):
+            scan_files.append(("流程/" + f, os.path.join(p, f)))
+scan_files.append(("创作流程规范.md", os.path.join(BASE, "references", "创作流程规范.md")))
+scan_files.append(("SKILL.md", os.path.join(BASE, "SKILL.md")))
+# 知识库内部交叉引用
+for c, fs in kb_files.items():
+    for f in fs:
+        scan_files.append((f"知识库/{c}/{f}", os.path.join(KB, c, f)))
+
+FN = r'[\w（）()·：:\-\\\u4e00-\u9fff/]+?\.md'
+file_ref_re = re.compile(FN)
+cat_name_re = re.compile(r'(\d{2}_[\w（）()·\-\u4e00-\u9fff]+)')
+block_re = re.compile(r'分块(\d+)')
+cat_set = set(kb_files.keys())
+
+referenced = set()   # (cat, fn)
+broken = []
+for label, path in scan_files:
+    try:
+        lines = open(path, encoding="utf-8").read().splitlines()
+    except Exception as e:
+        print(f"READ FAIL {label}: {e}")
+        continue
+    for i, line in enumerate(lines, 1):
+        cats_in_line = [c for c in cat_set if c in line]
+        # 文件名引用
+        for m in file_ref_re.finditer(line):
+            ref = m.group(0).replace("\\", "/")
+            fn = ref.split("/")[-1]
+            # 尝试带路径匹配
+            hit = None
+            for c, fs in kb_files.items():
+                if fn in fs:
+                    hit = (c, fn)
+            if hit:
+                referenced.add(hit)
+            elif "知识库" in line or ref.startswith("知识库") or "/" in ref:
+                # 可能是知识库引用但没匹配上（也排除产物/流程自身引用）
+                if not any(fn == x for x in ["创作流程规范.md"]) and not fn.startswith(("0", "1")) or "知识库" in ref:
+                    if "知识库" in ref or ("知识库" in line and ("/" in ref)):
+                        broken.append((label, i, ref, line.strip()[:100]))
+        # 分块N引用（限当前行有分类上下文）
+        for m in block_re.finditer(line):
+            n = int(m.group(1))
+            for c in cats_in_line:
+                if c in block_cats and n in block_cats[c]:
+                    referenced.add((c, block_cats[c][n]))
+
+print(f"总文件: {total}")
+print("\n===== A. 疑似断链（引用了知识库路径但未命中文件） =====")
+seen = set()
+for b in broken:
+    k = (b[2],)
+    if k in seen: continue
+    seen.add(k)
+    print(f"  {b[0]}:{b[1]} -> {b[2]}\n     {b[3]}")
+if not broken:
+    print("  无")
+
+print("\n===== B. 零引用文件（流程+规范+SKILL+知识库内部均未引用文件名/分块号） =====")
+orphans = []
+for c, fs in kb_files.items():
+    for fn in fs:
+        if (c, fn) not in referenced:
+            orphans.append(f"{c}/{fn}")
+print(f"零引用: {len(orphans)} / {total}")
+for o in orphans:
+    print(f"  {o}")
+
+print("\n===== C. 分类引用统计 =====")
+for c, fs in kb_files.items():
+    used = sum(1 for fn in fs if (c, fn) in referenced)
+    print(f"  {c}: {used}/{len(fs)}")