携程笔记全自动发布

携程内容中心全自动发布技能，支持从 Bing Images 搜索高清无版权图片、自动填写标题正文、自动上传图片、自动选择目的地、自动点击发布。适用于旅行攻略、美食推荐等图文笔记发布。

Security Scan

The skill largely matches a browser-automation-for-posting purpose, but there are clear mismatches between the README (CDP + Bing image download + automatic uploads) and the shipped scripts (AppleScript-based, macOS-only, no Bing/CDP implementation), so its actual behavior is incomplete or inconsistent and warrants caution.

Purpose & Capability

The name/description claim full end-to-end automated publishing including Bing Images search, automatic download, and CDP-based file uploads. The included scripts instead rely primarily on AppleScript (osascript) to control Google Chrome and only auto-fill text; there is no implementation of Bing image search/download or CDP/WebSocket-based setFileInputFiles. publish.sh mentions Playwright and will pip-install it if run, but the Python scripts do not use Playwright. These mismatches mean the skill does not actually implement several advertised capabilities (automatic image search/upload and CDP flows).

Instruction Scope

SKILL.md describes CDP WebSocket flows and writing files to /tmp/openclaw/uploads/, but none of the runtime scripts actually perform network image searches or CDP file uploads. The scripts execute JavaScript in the page via AppleScript (execute javascript) and open Ctrip pages; they ask the user to be logged in and to manually upload images in many places. The instructions therefore overclaim automation scope and give the agent/runner ambiguous discretion (the SKILL.md implies fully automatic uploading but code asks user to upload manually).

Install Mechanism

There is no registry install spec, but scripts/publish.sh will pip3 install playwright and run 'playwright install chromium' if Playwright is missing. That will download runtime binaries from Playwright's distribution. This is a normal developer dependency but unexpected because the Python scripts do not invoke Playwright in the provided code, creating an install-time vs runtime inconsistency.

Credentials

The skill requests no environment variables or credentials. The scripts expect a user Chrome session (login) and write files under /tmp and ~/.qclaw/workspace; these are proportional to a browser-automation helper. No secret exfiltration or unrelated credentials are requested by the code or SKILL.md.

Persistence & Privilege

The skill does not request always:true, does not modify other skills, and does not claim system-wide configuration changes. It will create a script file under ~/.qclaw/workspace and may download Playwright binaries if publish.sh is run, both of which are limited to the user's environment.

What to consider before installing

What to consider before installing or running: - Inconsistency: SKILL.md promises automatic Bing image search + automatic image uploads via CDP, but the shipped scripts use AppleScript to fill form fields and explicitly ask you to upload images manually. Expect that the advertised end-to-end automation is NOT implemented as described. - Platform: The scripts use pgrep/open/osascript and assume Google Chrome and macOS. Don't expect this to work on Linux/Windows without modification. - Install side effects: Running scripts/publish.sh will pip-install Playwright and download browser binaries (Playwright's installer). That is normal for Playwright but unexpected given the code doesn't use Playwright; review the install step before running it. - Files & writes: The skill writes a JS fill script to ~/.qclaw/workspace/ctrip_fill_script.js and references /tmp/openclaw/uploads/ for images. Review those files and the directories before running. - Permissions & safety: The scripts execute JavaScript in pages via AppleScript. That is powerful and will run in your browser context (while logged in). Only run these if you trust the code and the account used; automation could post content you didn't intend. - What to do: If you want full automation (image search, automatic uploads, CDP file set), ask the author for the missing implementation or for explicit code that performs Bing searches and CDP uploads. If you only need form-filling helpers, the current scripts may suffice on macOS, but inspect and test them in a safe environment first. - Additional checks: Search the repository for any hidden network endpoints, telemetry, or obfuscated code before running; verify the Playwright installer calls and review permissions required by any installed components.

携程笔记全自动发布技能

功能

• ✅ 自动打开携程发布页面
• ✅ 自动从 Bing Images 搜索高清无版权图片
• ✅ 自动填写标题和正文
• ✅ 自动上传图片（最多20张）
• ✅ 自动选择目的地
• ✅ 自动设置拍摄时间
• ✅ 自动添加话题标签
• ✅ 自动点击发布

使用场景

当用户说：

• "发携程笔记"
• "发布到携程"
• "全自动发布携程笔记"
• "帮我发到携程"
• "写一篇携程攻略"

技术实现

使用 OpenClaw 浏览器自动化 + CDP 协议：

1. 通过浏览器 CDP WebSocket 连接页面
2. 导航到携程内容中心发布页面
3. 使用 CDP setFileInputFiles 上传图片
4. 填写表单字段（标题、正文、地点）
5. 触发 React 合成事件更新状态
6. 点击发布按钮，处理确认弹窗

图片搜索功能

内置 Bing Images 搜索，可根据关键词自动下载高清图：

• 搜索关键词：故宫、长城、天坛、胡同、鸟巢、烤鸭等
• 自动过滤低分辨率图片
• 优先选择 1920x1080 以上的高清图
• 自动下载到 /tmp/openclaw/uploads/

依赖

• OpenClaw 浏览器工具
• Python 3 + websockets (用于 CDP)
• 网络访问 Bing Images

配置

无需 API Key，但需要：

1. 登录携程账号（首次需要扫码）
2. 图片上传到 /tmp/openclaw/uploads/

页面元素定位

携程发布页面关键元素

页面URL: https://we.ctrip.com/publish/publishPictureText

关键选择器:
- 图片上传: input[type="file"] (隐藏元素，需用CDP)
- 标题输入: [role="textbox"] (第一个)
- 正文编辑器: [role="combobox"] (第一个)
- 地点选择: .ant-select-selection-search-input
- 日期选择: input[placeholder*="日期"]
- 发布按钮: button (innerText = "发 布")
- 存草稿: button (innerText = "存草稿")
- 水印开关: .ant-switch

成功判断

• 发布成功后 URL 包含 detail?articleId=
• 或页面跳转到内容详情页

重要限制

1. 标题字数：必须少于20字（不是≤20字）

   • 推荐 15-19 字
   • 超过会报错"标题字数需少于20个字"

2. 正文字数：建议 ≥60 字

   • 更容易被评为优质内容

3. 图片数量：建议 3-20 张

   • ≥3张有机会评为优质

4. 地点选择：

   • 必须正确选择才能发布
   • 有时需要多次尝试才能选中

CDP 图片上传示例

import json, asyncio, websockets

async def upload_images(ws_url, files):
    async with websockets.connect(ws_url) as ws:
        # 获取DOM文档
        await ws.send(json.dumps({
            "id": 1,
            "method": "DOM.getDocument",
            "params": {"depth": -1}
        }))
        doc = json.loads(await ws.recv())
        
        # 查找file input
        await ws.send(json.dumps({
            "id": 2,
            "method": "DOM.querySelector",
            "params": {
                "nodeId": doc["result"]["root"]["nodeId"],
                "selector": "input[type='file']"
            }
        }))
        q = json.loads(await ws.recv())
        
        # 设置文件
        await ws.send(json.dumps({
            "id": 3,
            "method": "DOM.setFileInputFiles",
            "params": {
                "nodeId": q["result"]["nodeId"],
                "files": files  # 绝对路径列表
            }
        }))

使用示例

用户：帮我发一篇北京3天2晚的攻略到携程

AI：

1. 从 Bing Images 搜索北京景点高清图片
2. 下载故宫、长城、天坛等图片
3. 打开携程发布页面
4. 填写标题（<20字）："北京3天攻略！人均1500玩转帝都"
5. 填写正文行程内容（≥60字）
6. 上传下载的图片（3-20张）
7. 选择目的地"北京·中国"
8. 点击发布

常见问题

1. 地点选择失败

   • 点击选择器展开下拉
   • 输入关键词后等待下拉出现
   • 点击匹配的选项

2. 发布按钮无反应

   • 检查是否有必填项未填
   • 确认地点已正确选择
   • 查看页面是否显示错误提示

3. 图片上传失败

   • 确认图片路径正确
   • 图片格式为 JPG/PNG
   • 单张图片 <10MB

快速链接

• 图文发布：https://we.ctrip.com/publish/publishPictureText
• 创作者后台：https://we.ctrip.com/publish/publishHome
• 内容管理：https://we.ctrip.com/publish/contentManagement