feat: 重写 ADS 搜索脚本为 REST API，新增 Obsidian 转换 skill，修复路径

- ads_metadata_search: 移除 ads 库依赖，改用 requests 直连 ADS REST API；
  移除硬编码 API Key，改为 .env 文件/环境变量加载
- 新增 ads_html_to_obsidian skill：将下载的 HTML 文献批量转换为
  Obsidian Markdown 笔记（BS4 提取正文 + Pandoc 转换 + 清洗后处理）
- 两个 SKILL.md 中的 Windows 绝对路径改为相对路径

skills/ads_metadata_search/scripts/search.py

@@ -1,10 +1,29 @@
-import ads
 import json
 import argparse
+import os
 import sys
 
-# 如果你没有在环境变量里设置 ADS_DEV_KEY，将使用以下的硬编码 Token 
-ads.config.token = "dpJWki7eHJ48TwlKz2AUyhXAxBgZrKo6AjE8hZwp" 
+import requests
+
+# Load .env from project root if ADS_API_KEY not already set
+def _load_token():
+    token = os.environ.get("ADS_API_KEY", "")
+    if token and token != "your_api_key_here":
+        return token
+    project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..", ".."))
+    env_path = os.path.join(project_root, ".env")
+    if os.path.isfile(env_path):
+        with open(env_path, encoding="utf-8") as f:
+            for line in f:
+                line = line.strip()
+                if line and not line.startswith("#") and "=" in line:
+                    k, _, v = line.partition("=")
+                    k, v = k.strip(), v.strip()
+                    if k == "ADS_API_KEY" and v and v != "your_api_key_here":
+                        return v
+    return ""
+
+ADS_API_URL = "https://api.adsabs.harvard.edu/v1/search/query"
 
 def main():
     parser = argparse.ArgumentParser(description="Search ADS and return metadata")
@@ -12,55 +31,65 @@ def main():
     parser.add_argument("--output", required=True, help="Output JSON file path")
     parser.add_argument("--rows", type=int, default=10, help="Number of rows to return")
     parser.add_argument("--year_range", help="Year range to filter, e.g. 2018-2023 or 2020")
-    
     args = parser.parse_args()
-    
-    print(f"Searching ADS for query: {args.query}")
-    query_params = {
-        "q": args.query,
-        "rows": args.rows,
-        "fl": ["bibcode", "title", "author", "year", "abstract", "citation_count", "reference_count", "pub", "doi"]
-    }
-    
+
+    token = _load_token()
+    if not token:
+        print("Error: ADS_API_KEY not configured. Edit .env in project root or set env var.")
+        sys.exit(1)
+
+    q = args.query
     if args.year_range:
-        if '-' in args.year_range:
-            start_year, end_year = args.year_range.split('-')
-            query_params["fq"] = f"year:[{start_year} TO {end_year}]"
+        if "-" in args.year_range:
+            start, end = args.year_range.split("-", 1)
+            q += f" year:[{start} TO {end}]"
         else:
-            query_params["fq"] = f"year:{args.year_range}"
-            
+            q += f" year:{args.year_range}"
+
+    print(f"Searching ADS for query: {q}")
+
+    params = {
+        "q": q,
+        "rows": args.rows,
+        "fl": "bibcode,title,author,year,abstract,citation_count,reference_count,pub,doi",
+    }
+    headers = {"Authorization": f"Bearer {token}"}
+
     try:
-        papers = list(ads.SearchQuery(**query_params))
-        results = []
-        for p in papers:
-            record = {
-                "bibcode": getattr(p, "bibcode", "") or "",
-                "title": getattr(p, "title", [""])[0] if getattr(p, "title", None) else "",
-                "author": getattr(p, "author", []),
-                "year": getattr(p, "year", "") or "",
-                "abstract": getattr(p, "abstract", "") or "",
-                "citation_count": getattr(p, "citation_count", 0) or 0,
-                "reference_count": getattr(p, "reference_count", 0) or 0,
-                "pub": getattr(p, "pub", "") or "",
-                "doi": getattr(p, "doi", [""])[0] if getattr(p, "doi", None) else ""
-            }
-            results.append(record)
-            
-        with open(args.output, "w", encoding="utf-8") as f:
-            json.dump(results, f, ensure_ascii=False, indent=2)
-            
-        print(f"Found {len(results)} papers. Saved metadata to {args.output}.")
-        
-        # 打印简单摘要到终端
-        for i, r in enumerate(results[:5]):
-            print(f"\n[{i+1}] {r['title']} ({r['year']})")
-            print(f"    Bibcode: {r['bibcode']} | Citations: {r['citation_count']}")
-            authors = ", ".join(r['author'][:3]) + (" et al." if len(r['author']) > 3 else "")
-            print(f"    Authors: {authors}")
-            
+        resp = requests.get(ADS_API_URL, params=params, headers=headers, timeout=30)
+        resp.raise_for_status()
+        data = resp.json()
     except Exception as e:
         print(f"Query Failed: {e}")
         sys.exit(1)
 
+    docs = data.get("response", {}).get("docs", [])
+    results = []
+    for d in docs:
+        title_list = d.get("title", [])
+        doi_list = d.get("doi", [])
+        results.append({
+            "bibcode": d.get("bibcode", ""),
+            "title": title_list[0] if title_list else "",
+            "author": d.get("author", []),
+            "year": d.get("year", ""),
+            "abstract": d.get("abstract", ""),
+            "citation_count": d.get("citation_count", 0),
+            "reference_count": d.get("reference_count", 0),
+            "pub": d.get("pub", ""),
+            "doi": doi_list[0] if doi_list else "",
+        })
+
+    with open(args.output, "w", encoding="utf-8") as f:
+        json.dump(results, f, ensure_ascii=False, indent=2)
+
+    print(f"Found {len(results)} papers. Saved metadata to {args.output}.")
+
+    for i, r in enumerate(results[:5]):
+        print(f"\n[{i+1}] {r['title']} ({r['year']})")
+        print(f"    Bibcode: {r['bibcode']} | Citations: {r['citation_count']}")
+        authors = ", ".join(r['author'][:3]) + (" et al." if len(r['author']) > 3 else "")
+        print(f"    Authors: {authors}")
+
 if __name__ == "__main__":
     main()