stock-data-skill
OpenClaw Skill for stock data analysis
DS 160 Auto fill Skill
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install clulessboy/ds160-autofill打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
This skill automates the filling of US nonimmigrant visa DS-160 forms by combining:
Provide CSV data: User must provide a CSV file with their personal information (use ds160-user-info.csv as template)
Open DS-160 website: Use browser tool to open https://ceac.state.gov/genniv/ with profile openclaw
Initialize session: Load and execute scripts/ds160-filler.js to parse mappings and CSV
Start filling: Begin with the home page, handle captcha with LLM, then proceed page by page
Load existing session: Check ds160/ds160-session.json for saved Application ID
Open application: Use the saved Application ID to resume on DS-160 website
Continue filling: Load CSV from saved location and continue from last page
Always check if session exists first:
// Read ds160/ds160-session.json
// If exists → Resume mode
// If not → New application mode
New application mode:
ds160/ds160-user-info.csv using write toolds160/ds160-session.json:
{
"applicationId": null,
"securityQuestion": null,
"securityAnswer": null,
"currentPageIndex": 0,
"completedPages": [],
"startDate": "2026-02-06T21:00:00Z"
}
Resume mode:
ds160/ds160-user-info.csv
ds160/ds160-session.json
// Open browser with openclaw profile
browser_start: { profile: "openclaw", targetUrl: "https...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# DS-160 Auto-fill Skill
This skill automates the filling of US nonimmigrant visa DS-160 forms by combining:
- CDP (Chrome DevTools Protocol) for fast element location
- CSV data source for user information
- LLM assistance for complex cases (captcha, missing elements)
- Session persistence for resume capability
- Chinese to English translation for user input
## Quick Start
### Starting a New Application
1. **Provide CSV data**: User must provide a CSV file with their personal information (use `ds160-user-info.csv` as template)
2. **Open DS-160 website**: Use `browser` tool to open `https://ceac.state.gov/genniv/` with profile `openclaw`
3. **Initialize session**: Load and execute `scripts/ds160-filler.js` to parse mappings and CSV
4. **Start filling**: Begin with the home page, handle captcha with LLM, then proceed page by page
### Resuming an Application
1. **Load existing session**: Check `ds160/ds160-session.json` for saved Application ID
2. **Open application**: Use the saved Application ID to resume on DS-160 website
3. **Continue filling**: Load CSV from saved location and continue from last page
## Core Workflow
### Step 1: Prepare Data
**Always check if session exists first:**
```javascript
// Read ds160/ds160-session.json
// If exists → Resume mode
// If not → New application mode
```
**New application mode:**
- Ask user for CSV file path or content
- Save CSV to `ds160/ds160-user-info.csv` using `write` tool
- Initialize session data in `ds160/ds160-session.json`:
```json
{
"applicationId": null,
"securityQuestion": null,
"securityAnswer": null,
"currentPageIndex": 0,
"completedPages": [],
"startDate": "2026-02-06T21:00:00Z"
}
```
**Resume mode:**
- Load CSV from `ds160/ds160-user-info.csv`
- Load session from `ds160/ds160-session.json`
- Report current progress to user
### Step 2: Initialize Browser
```javascript
// Open browser with openclaw profile
browser_start: { profile: "openclaw", targetUrl: "https...OpenClaw Skill for stock data analysis
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