/install chat-deepseek
DeepSeek Chat Automation Skill
Automate login with scanning qr code snapshot, input questions got from user messages, and extract responses from DeepSeek chat, and then reply to user.
Key Feature: Pure browser automation + DOM extraction. No LLM requests or processing - just raw text from the rendered page.
When to Use
✅ USE this skill when:
- ask somthing to DeepSeek
- Sending messages to DeepSeek chat
- Extracting AI responses as raw text (no LLM processing)
- Browser automation workflows
- Batch processing chat queries with direct output
❌ DON'T use this skill when:
- Need real-time SSE stream capture (use curl/WebSocket directly)
- Page uses heavy anti-bot protection
- Requires complex CAPTCHA solving
- Need LLM-powered text processing (use Claude API directly)
Requirements
- check browser extention with
openclaw browser status, and getenabled: true - Browser tool with
profile: "openclaw" - No API keys or LLM credits needed
Workflow Overview (5 Steps)
┌─────────────────────────────────────────────────────────────────┐
│ 1. Open chat.deepseek.com OR check existing tab │
└─────────────────────────────────┬───────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 2. Check login status - QR Code needed? │
│ - If login form → Manual QR Code scan required │
│ - If chat interface → Already logged in │
└─────────────────────────────────┬───────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 3. Input text in textarea/box │
└─────────────────────────────────┬───────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 4. Keep focus on input, press Enter key │
└─────────────────────────────────┬───────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 5. Extract response from DOM (page body) │
└─────────────────────────────────────────────────────────────────┘
Step 1: Open or Reuse Tab
// Try to find existing DeepSeek tab first
const existingTabs = await sessions_list({ /* filter for chat.deepseek.com */ });
if (existingTabs.length > 0) {
console.log("✅ Reusing existing DeepSeek tab:", existingTabs[0]);
tabId = existingTabs[0];
} else {
// Open new tab
const result = await browser({
action: "open",
profile: "openclaw",
targetUrl: "https://chat.deepseek.com/"
});
tabId = result.targetId;
console.log("✅ Opened new DeepSeek tab:", tabId);
}
// Wait for page to load
await new Promise(r => setTimeout(r, 2000));
Step 2: Check Login Status (QR Code Needed?)
// Check if login required (QR Code scan) or already logged in
await browser({
action: "act",
kind: "evaluate",
profile: "openclaw",
targetId: tabId,
fn: `{
// Check for login form (QR Code or phone input)
const loginForm = document.querySelector('input[type="tel"], input[placeholder*="Phone"]');
const qrCode = document.querySelector('iframe[src*="wechat"], img[alt*="WeChat"]');
const chatInput = document.querySelector('textarea[placeholder*="Message DeepSeek"]');
const userAvatar = document.querySelector('[class*="avatar"], [class*="user"]');
JSON.stringify({
needLogin: !!(loginForm || qrCode),
hasChatInput: !!chatInput,
hasUser: !!userAvatar,
hasLoginForm: !!loginForm,
hasQrCode: !!qrCode
});
}`,
returnByValue: true
});
Login Status Indicators
| Status | Check | Action Required |
|---|---|---|
| ✅ Already Logged In | Chat input visible + user avatar | Proceed to Step 3 |
| ❌ Need Login | QR Code or login form visible | Manual QR Code scan required |
QR Code Login Flow
// If QR Code is needed, notify user to scan
const status = JSON.parse(result);
if (status.needLogin) {
console.log("⚠️ QR Code login required!");
// For QR Code login:
// 1. Navigate to login page if not already there
// 2. Take screenshot of QR Code
// 3. Send to user via imsg and other enabled and running channels
// 4. User scans with WeChat
// 5. After scan, chat interface should appear
await browser({
action: "navigate",
profile: "openclaw",
targetId: tabId,
targetUrl: "https://chat.deepseek.com/sign_in"
});
// Take screenshot of QR Code
await browser({
action: "screenshot",
profile: "openclaw",
targetId: tabId
});
// Send QR Code to user's running channel for scanning
// Channel example #1: imessage (\x3Caccount_id> got fron imessage channel)
await exec({
command: 'imsg send --to "\x3Caccount_id>" --text "DeepSeek QR Code Login - Please scan with WeChat" --file "/path/to/screenshot.jpg"'
});
// Channel example #2: whatsapp (\x3Caccount_id> got fron whatsapp channel)
await exec({
command: 'openclaw message send --channel whatsapp --target \x3Caccount_id> -m "DeepSeek QR Code Login - Please scan with WeChat" --media "\x3Cyour-workspace>/snapshot/screenshot.jpg"'
});
// Channel example #3: signal (\x3Caccount_id> got fron signal channel)
await exec({
command: 'openclaw message send --channel signal --target \x3Caccount_id> -m "DeepSeek QR Code Login - Please scan with WeChat" --file "/path/to/screenshot.jpg"'
});
console.log("📱 QR Code sent. Waiting for scan...");
// Poll for login success (every 5 seconds, max 60 attempts)
let attempts = 0;
while (attempts \x3C 60) {
await new Promise(r => setTimeout(r, 5000));
const loginCheck = await browser({
action: "act",
kind: "evaluate",
profile: "openclaw",
targetId: tabId,
fn: `{
const chatInput = document.querySelector('textarea[placeholder*="Message DeepSeek"]');
!!chatInput;
}`,
returnByValue: true
});
if (loginCheck === 'true') {
console.log("✅ QR Code scan successful!");
break;
}
attempts++;
}
}
Step 3: Input Text in Textarea
// Ensure we're on chat page
await browser({
action: "navigate",
profile: "openclaw",
targetId: tabId,
targetUrl: "https://chat.deepseek.com/"
});
// Take snapshot to a snapshot dir in workspace (if none, makedir it), and get fresh refs
await browser({
action: "snapshot",
profile: "openclaw",
out: "\x3Cyour-workspace>/snapshot/snapshot.jpg"
targetId: tabId
});
// Type message into input box
await browser({
action: "act",
kind: "type",
profile: "openclaw",
targetId: tabId,
ref: "e94", // Get from snapshot - textarea ref
text: "Your message here"
});
console.log("✅ Text typed into input box");
Step 4: Keep Focus, Press Enter Key
// Ensure input stays focused and dispatch Enter key events
await browser({
action: "act",
kind: "evaluate",
profile: "openclaw",
targetId: tabId,
fn: `{
// Get the textarea element
const input = document.querySelector('textarea[placeholder*="Message DeepSeek"]');
if (input) {
// Ensure input is focused
input.focus();
input.scrollIntoView({ behavior: 'smooth', block: 'center' });
// Dispatch Enter key events directly on the input element
// Use createEvent for better browser compatibility
const enterEvent = new KeyboardEvent('keydown', {
key: 'Enter',
code: 'Enter',
keyCode: 13,
which: 13,
bubbles: true,
cancelable: true
});
input.dispatchEvent(enterEvent);
// Also dispatch keypress and keyup for completeness
const keypressEvent = new KeyboardEvent('keypress', {
key: 'Enter',
code: 'Enter',
keyCode: 13,
bubbles: true
});
input.dispatchEvent(keypressEvent);
const keyupEvent = new KeyboardEvent('keyup', {
key: 'Enter',
code: 'Enter',
keyCode: 13,
bubbles: true
});
input.dispatchEvent(keyupEvent);
'Enter key dispatched on focused input';
} else {
'Input element not found';
}
}`,
returnByValue: true
});
// Wait for response (5-10 seconds for complex queries)
await new Promise(r => setTimeout(r, 8000));
console.log("✅ Enter key pressed, waiting for response...");
Step 5: Extract Response from DOM (Page Body)
// Extract assistant response from page body
// Returns raw text, no LLM processing
await browser({
action: "act",
kind: "evaluate",
profile: "openclaw",
targetId: tabId,
fn: `{
// Get all paragraph elements from the entire page body
const body = document.body;
const paras = Array.from(body.querySelectorAll('p'));
// Filter to find assistant messages (not user messages, not system text)
const assistantMsgs = paras.filter(p => {
const text = p.innerText || '';
const parent = p.parentElement;
// Exclude system messages and user messages
return text.length > 15 &&
!text.includes('AI-generated') &&
!text.includes('Upload docs') &&
!text.includes('How can I help') &&
!text.includes('⌘') &&
parent && !parent.closest('header') &&
parent && !parent.closest('footer');
});
// Get the most recent assistant message
const lastResponse = assistantMsgs.length > 0
? assistantMsgs[assistantMsgs.length - 1].innerText
: 'No response found';
// Clean up the response
lastResponse.trim();
}`,
returnByValue: true
});
// Result: Raw text response from DeepSeek
Response Extraction Strategy
| Element | Strategy |
|---|---|
| Container | document.body |
| Message type | \x3Cp> tags |
| Filter out | AI-generated, Upload docs, Help text, Keyboard shortcuts |
| Get | Last matching \x3Cp> from body |
Example: Complete Workflow
// ============ DEEPSEEK CHAT AUTOMATION ============
const profile = "openclaw";
// Step 1: Open or reuse tab
let tabId;
const tabsResult = await sessions_list({ /* filter */ });
if (tabsResult.length > 0) {
tabId = tabsResult[0];
console.log("Reusing existing tab:", tabId);
} else {
const openResult = await browser({
action: "open",
profile: profile,
targetUrl: "https://chat.deepseek.com/"
});
tabId = openResult.targetId;
}
// Step 2: Check login status
const loginCheck = await browser({
action: "act",
kind: "evaluate",
profile: profile,
targetId: tabId,
fn: `{
const loginForm = document.querySelector('input[type="tel"]');
const chatInput = document.querySelector('textarea');
const avatar = document.querySelector('[class*="avatar"]');
{ needLogin: !loginForm && !chatInput, hasChat: !!chatInput, hasUser: !!avatar };
}`,
returnByValue: true
});
// Step 3: Type message
await browser({
action: "act",
kind: "type",
profile: profile,
targetId: tabId,
ref: "e94",
text: "Tell me about Landon Railway history"
});
// Step 4: Press Enter
await browser({
action: "act",
kind: "evaluate",
profile: profile,
targetId: tabId,
fn: `{
const input = document.querySelector('textarea');
input.focus();
['keydown', 'keypress', 'keyup'].forEach(type => {
input.dispatchEvent(new KeyboardEvent(type, { key: 'Enter', bubbles: true, cancelable: true }));
});
'Enter sent';
}`,
returnByValue: true
});
await new Promise(r => setTimeout(r, 8000));
// Step 5: Extract response
const response = await browser({
action: "act",
kind: "evaluate",
profile: profile,
targetId: tabId,
fn: `{
const msgs = Array.from(document.body.querySelectorAll('p'))
.filter(p => p.innerText.length > 15 && !p.innerText.includes('AI-generated'));
msgs[msgs.length - 1]?.innerText || 'No response';
}`,
returnByValue: true
});
console.log("DeepSeek Response:", response);
// Send response to iMessage or other enabled and running channel
Common Selectors
| Element | Selector |
|---|---|
| Chat input | textarea[placeholder*="Message DeepSeek"] |
| Send (Enter) | input.dispatchEvent(KeyboardEvent('Enter')) |
| QR Code | iframe[src*="wechat"], img[alt*="WeChat"] |
| Login form | input[type="tel"], input[placeholder*="Phone"] |
| User avatar | [class*="avatar"], [class*="user"] |
| Response content | Last \x3Cp> in document.body (filtered) |
Limitations
- Rate Limiting: DeepSeek may block requests (429 errors)
- Event Validation: Some buttons need real user events
- Login Verification: QR Code scan requires user interaction
- No API Access: Direct API requires bypassing WAF
- No Files Uploading: DO NOT upload files to chat.deepseek.com, DO NOT click file button.
- No LLM Processing: Extract raw text only
Troubleshooting
| Issue | Solution |
|---|---|
| Input not found | Refresh page, take new snapshot |
| Enter not working | DeepSeek uses custom event handlers |
| File uploading pending | Cancel file uploading dialog |
| Response not found | Wait longer, check page rendering |
| QR Code timeout | User needs to scan with WeChat |
| Cookies expired | Manual re-login required |
See Also
imsgskill - Send results to iMessageopenclaw channels statusskill - Get enabled and running channelsopenclaw message send --helpskill - Send results to enabled and running channelsopenclaw browser statusskill - Get browser statusenabled: truebrowsertool - OpenClaw browser controlcurl- Direct API access (if WAF bypass possible)
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install chat-deepseek - 安装完成后,直接呼叫该 Skill 的名称或使用
/chat-deepseek触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Chat DeepSeek by Browser 是什么?
openclaw browser open https://chat.deepseek.com and login it, then input questions from user's messages, extract response of deepseek chat to reply user. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 380 次。
如何安装 Chat DeepSeek by Browser?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install chat-deepseek」即可一键安装,无需额外配置。
Chat DeepSeek by Browser 是免费的吗?
是的,Chat DeepSeek by Browser 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Chat DeepSeek by Browser 支持哪些平台?
Chat DeepSeek by Browser 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Chat DeepSeek by Browser?
由 christo(@qidu)开发并维护,当前版本 v1.0.0。