stock-data-skill
OpenClaw Skill for stock data analysis
DS 160 Auto fill Skill
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install clulessboy/ds160-autofillInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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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