feat: Instagram 支持 Cookie-Editor 导入 + 超时 fallback 优化

- agent-reach configure instagram-cookies 支持 Cookie-Editor Header String
- Instagram cookie 保存到 ~/.agent-reach/instagram-cookies.txt
- instaloader 429 限速时 15 秒自动超时 fallback 到 Jina Reader
- LinkedIn/Boss直聘 保持使用各自 MCP 的原生登录流程（不侵入）
- doctor 提示信息更新

agent_reach/channels/bosszhipin.py

@@ -77,7 +77,7 @@ class BossZhipinChannel(Channel):
             "可通过 Jina Reader 读取职位页面。完整功能需要：\n"
             "  1. git clone https://github.com/mucsbr/mcp-bosszp.git\n"
             "  2. cd mcp-bosszp && pip install -r requirements.txt && playwright install chromium\n"
-            "  3. python boss_zhipin_fastmcp_v2.py（启动 MCP 服务）\n"
+            "  3. python boss_zhipin_fastmcp_v2.py（启动后扫码登录）\n"
             "  4. mcporter config add bosszhipin http://localhost:8000/mcp\n"
             "  或用 Docker：docker-compose up -d\n"
             "  详见 https://github.com/mucsbr/mcp-bosszp"

agent_reach/channels/instagram.py

@@ -8,6 +8,7 @@ Swap to: any Instagram access tool
 import re
 import shutil
 import subprocess
+from pathlib import Path
 from urllib.parse import urlparse
 from .base import Channel, ReadResult, SearchResult
 from typing import List
@@ -37,9 +38,14 @@ class InstagramChannel(Channel):
             return "off", (
                 "需要安装 instaloader：pip install instaloader\n"
                 "  安装后可读取 Instagram 帖子和 Profile\n"
-                "  登录解锁更多功能：instaloader --login YOUR_USERNAME"
+                "  登录: agent-reach configure instagram-cookies \"sessionid=xxx; csrftoken=yyy; ...\""
             )
-        return "ok", "可读取公开帖子和 Profile。登录后可访问更多内容"
+
+        # Check if cookies are configured
+        cookie_file = Path.home() / ".agent-reach" / "instagram-cookies.txt"
+        if cookie_file.exists():
+            return "ok", "已登录，可读取 Instagram 帖子和 Profile"
+        return "ok", "可读取公开帖子和 Profile。登录可访问更多内容:\n  agent-reach configure instagram-cookies \"sessionid=xxx; csrftoken=yyy; ...\""
 
     async def read(self, url: str, config=None) -> ReadResult:
         # Try instaloader (module or CLI)
@@ -69,8 +75,24 @@ class InstagramChannel(Channel):
                 max_connection_attempts=1,  # Don't retry on rate limit
             )
 
-            # Try to load session if available
-            if config and config.get("instagram_username"):
+            # Try to load session: cookie file > saved session
+            cookie_file = Path.home() / ".agent-reach" / "instagram-cookies.txt"
+            if cookie_file.exists():
+                try:
+                    cookie_str = cookie_file.read_text().strip()
+                    cookies = {}
+                    for part in cookie_str.split(";"):
+                        part = part.strip()
+                        if "=" in part:
+                            k, v = part.split("=", 1)
+                            cookies[k.strip()] = v.strip()
+                    if "sessionid" in cookies and "csrftoken" in cookies:
+                        # Extract username from ds_user_id or use generic
+                        username = cookies.get("ds_user_id", "user")
+                        L.context.load_session(username, cookies)
+                except Exception:
+                    pass
+            elif config and config.get("instagram_username"):
                 try:
                     L.load_session_from_file(config.get("instagram_username"))
                 except Exception:

agent_reach/channels/linkedin.py

@@ -55,16 +55,17 @@ class LinkedInChannel(Channel):
         if shutil.which("linkedin-scraper-mcp"):
             return "warn", (
                 "linkedin-scraper-mcp 已安装但未接入 mcporter。运行：\n"
-                "  1. uvx linkedin-scraper-mcp --transport streamable-http --port 8001\n"
-                "  2. mcporter config add linkedin http://localhost:8001/mcp\n"
-                "  或先登录：uvx linkedin-scraper-mcp --login"
+                "  1. linkedin-scraper-mcp --login（在有浏览器的机器上登录）\n"
+                "  2. linkedin-scraper-mcp --transport streamable-http --port 8001\n"
+                "  3. mcporter config add linkedin http://localhost:8001/mcp"
             )
 
         return "off", (
             "可通过 Jina Reader 读取部分内容。完整功能需要：\n"
-            "  1. pip install linkedin-scraper-mcp 或 uvx linkedin-scraper-mcp --login\n"
-            "  2. uvx linkedin-scraper-mcp --transport streamable-http --port 8001\n"
-            "  3. mcporter config add linkedin http://localhost:8001/mcp\n"
+            "  1. pip install linkedin-scraper-mcp\n"
+            "  2. linkedin-scraper-mcp --login（在有浏览器的机器上登录）\n"
+            "  3. linkedin-scraper-mcp --transport streamable-http --port 8001\n"
+            "  4. mcporter config add linkedin http://localhost:8001/mcp\n"
             "  详见 https://github.com/stickerdaniel/linkedin-mcp-server"
         )