diff --git a/custom-skills/46-jamie-journal-editor/code/scripts/journal_validator.py b/custom-skills/46-jamie-journal-editor/code/scripts/journal_validator.py
index cab5b25..bbeae2f 100644
--- a/custom-skills/46-jamie-journal-editor/code/scripts/journal_validator.py
+++ b/custom-skills/46-jamie-journal-editor/code/scripts/journal_validator.py
@@ -388,8 +388,58 @@ class SpellingChecker:
 class LinkRecommender:
     """Recommends internal/external links and detects broken or missing ones."""
 
+    PROCEDURE_MAP: Dict[str, Tuple[str, List[str]]] = {
+        'double_eyelid':        ('쌍꺼풀 수술',          ['쌍꺼풀', '매몰법', '절개법', '퀵매몰']),
+        'ptosis':               ('안검하수 눈매교정',     ['안검하수', '눈매교정', '졸린 눈', '눈매 교정']),
+        'under_eye_fat':        ('눈밑 지방 재배치',      ['눈밑 지방', '다크서클', '눈밑지방', '지방 재배치']),
+        'dual_epicanthoplasty': ('듀얼 트임',             ['듀얼 트임', '앞트임', '뒤트임', '눈꼬리']),
+        'forehead_lift':        ('내시경 이마거상술',     ['이마거상', '이마리프팅', '이마 거상', '이마 리프팅']),
+        'brow_lift':            ('내시경 눈썹거상술',     ['눈썹거상', '눈썹리프팅', '눈썹 거상', '눈썹 리프팅']),
+        'sub_brow':             ('눈썹밑 피부절개술',     ['눈썹밑', '상안검', '눈꺼풀 처짐']),
+        'smas_lifting':         ('스마스 리프팅',         ['스마스', 'SMAS', '안면거상', '페이스리프트']),
+        'fat_graft':            ('자가지방 이식',          ['자가지방', '지방이식', '지방 이식', '지방 생착']),
+        'hifu':                 ('하이푸 리프팅',          ['하이푸', 'HIFU', '초음파 리프팅']),
+        'cheek_lift':           ('앞광대 리프팅',          ['앞광대', '팔자 주름', '팔자주름', '광대 리프팅']),
+        'endotine':             ('엔도타인 고정',           ['엔도타인', 'endotine', '3점 고정']),
+    }
+
+    def _detect_main_topic(self, lines: List[str]) -> Optional[str]:
+        """Scan first 10 lines to find the main procedure topic."""
+        opening_text = '\n'.join(lines[:10])
+        for topic_key, (display_name, keywords) in self.PROCEDURE_MAP.items():
+            for kw in keywords:
+                if kw in opening_text:
+                    return topic_key
+        return None
+
     def check(self, content: str) -> List[ValidationIssue]:
-        return []
+        issues: List[ValidationIssue] = []
+        lines = content.split('\n')
+
+        main_topic = self._detect_main_topic(lines)
+
+        for topic_key, (display_name, keywords) in self.PROCEDURE_MAP.items():
+            if topic_key == main_topic:
+                continue
+            for line_idx, line in enumerate(lines, start=1):
+                matched_kw = None
+                for kw in keywords:
+                    if kw in line:
+                        matched_kw = kw
+                        break
+                if matched_kw:
+                    issues.append(ValidationIssue(
+                        checker='LinkRecommender',
+                        issue_type='internal_link_opportunity',
+                        severity='info',
+                        line_number=line_idx,
+                        matched_text=matched_kw,
+                        message=f'"{matched_kw}" 언급 발견 — "{display_name}" 글로의 내부 링크를 고려하세요.',
+                        suggestion=f'"{display_name}" 시술 페이지로 연결되는 앵커 텍스트 링크를 추가하세요.',
+                    ))
+                    break  # one recommendation per topic
+
+        return issues
 
 
 # ---------------------------------------------------------------------------