A specialized AI-powered QA automation agent for testing the Strykr trading platform and monitoring PRISM API health.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install strykr-qa-bot
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install strykr-qa-bot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is strykr-qa-bot?
Strykr QA Bot is a comprehensive testing skill specifically engineered for the Strykr AI finance dashboard. As a powerful addition to the ecosystem of Openclaw Skills, it provides pre-built test suites to validate critical financial data displays, including crypto signal cards, stock asset filters, and real-time news routing.
This skill is designed to handle the complexities of modern fintech applications, offering automated checks for AI response quality and API stability. By leveraging this tool, developers can ensure that their trading platforms remain reliable and bug-free through every deployment cycle.
strykr-qa-bot Use Cases
- Regression testing Strykr after new feature deployments or updates
- Monitoring the real-time health and response quality of PRISM API endpoints
- Validating the accuracy and formatting of AI-generated chat responses in the finance dashboard
- Automating smoke tests for core trading widgets including crypto and stock signal cards
- Tracking and identifying known UI bugs like empty modals or routing race conditions
How strykr-qa-bot Works
- The bot initializes by reading configuration from the strykr-qa.yaml file to set base URLs and browser parameters.
- It executes automated navigation through the Strykr platform using pre-defined test suites for different asset classes.
- The skill performs deep assertions on UI components, such as verifying the existence of price data and chart rendering in signal cards.
- It monitors API interactions to ensure the backend PRISM services are returning valid data structures.
- During execution, the bot captures visual screenshots, console logs, and timing metrics for every interaction.
- It compiles all findings into a Markdown report, specifically flagging known issues and performance bottlenecks.
strykr-qa-bot Setup
Integrating this agent into your Openclaw Skills environment is straightforward using standard CLI tools:
# Navigate to your project directory
cd /path/to/strykr-qa-bot
# Install dependencies and run the full test suite
npm test
# Run a specific suite for stock signals
npm run test:stocks
# Execute a quick smoke test for site health
npm run smoke
Configuration can be customized in the strykr-qa.yaml file to adjust browser timeouts and headless modes.
strykr-qa-bot Data Schema & Taxonomy
The Strykr QA Bot organizes its output to ensure full observability within the Openclaw Skills framework:
| Component | Output Type | Description |
|---|---|---|
| Test Results | Status Code | Categorizes outcomes as Pass, Fail, or Known-Issue |
| Evidence | Screenshots | Visual captures for every test step and failure point |
| Console Logs | Error Capture | Full collection of browser console errors and warnings |
| Metrics | Performance | Precise timing for page loads and API response times |
| Reporting | Markdown | A structured report summarizing the test run and known bug status |
strykr-qa-bot Advanced Features
- Vibe-coding enabled for rapid development and integration with Cursor, Claude, and Copilot
- Programmatic TypeScript API for building custom assertions and complex multi-agent workflows
- Intelligent tracking of high-priority known issues, such as the details-modal-empty and direct-url-blank-news bugs
- Specialized health check endpoints specifically for monitoring PRISM API integrity
- CI/CD ready configuration for automated site health monitoring in production environments
SKILL.md
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