AI-powered exploratory testing for web applications with autonomous issue discovery and verification.
Works with
Autonomously explores web applications, discovers bugs, and verifies features through natural language test prompts; supports localhost testing without manual setup
Run tests in parallel across different areas (authentication, accessibility, e-commerce flows) to maximize coverage while continuing other work
Captures execution ID and browser URL in first 5 seconds, then continues runn
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionscoutqa-testExecute the skills CLI command in your project's root directory to begin installation:
Fetches scoutqa-test from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate scoutqa-test. Access via /scoutqa-test in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Perform AI-powered exploratory testing on web applications using the scoutqa CLI.
Think of ScoutQA as an intelligent testing partner that can autonomously explore, discover issues, and verify features. Delegate testing to multiple parallel ScoutQA executions to maximize coverage while saving time.
Use this skill in two scenarios:
Example proactive usage:
Best practice: When you finish implementing a web feature, proactively start a ScoutQA test in the background to verify it works while you continue with other tasks.
Copy this checklist and track your progress:
Testing Progress:
Step 1: Write specific test prompt
See "Writing Effective Prompts" section below for guidelines.
Step 2: Run scoutqa command
IMPORTANT: Use the Bash tool's timeout parameter (5000ms = 5 seconds) to capture execution details:
When calling the Bash tool, set timeout: 5000 as a parameter:
timeout command)timeout which kills the process - here the process keeps runningscoutqa --url "https://example.com" --prompt "Your test instructions"
In the first few seconds, the command will output:
019b831d-xxx)https://app.scoutqa.ai/t/019b831d-xxx)After the 5-second timeout, the Bash tool returns a task ID and the command continues running in the background. You can work on other tasks while the test runs. The timeout is only to capture the initial output (execution ID and browser URL) - the test keeps running both locally as a background task and remotely on ScoutQA's infrastructure.
Step 3: Inform user of execution ID and browser URL
After the Bash tool returns with the task ID (having captured the execution details in the first 5 seconds), inform the user of:
The test continues running in the background while you continue other work.
Step 4: Extract and analyze results
See "Presenting Results" section below for the complete format.
--url (required): Website URL to test (supports localhost / 127.0.0.1)--prompt (required): Natural language testing instructions--project-id (optional): Associate with a project for tracking-v, --verbose (optional): Show all tool calls including internal onesScoutQA supports testing localhost and 127.0.0.1 URLs autonomously — no manual setup required.
# Seamlessly test a locally running app when you're developing your app
scoutqa --url "http://localhost:3000" --prompt "Test the registration form"
Starting a new test? → Use scoutqa --url --prompt
Verifying a known issue? → Use scoutqa issue-verify --issue-id <id>
Finding issue IDs from an execution? → Use scoutqa list-issues --execution-id <id>
Agent needs more context? → Use scoutqa send-message (see "Following Up on Stuck Executions")
Focus on what to explore and verify, not prescriptive steps. ScoutQA autonomously determines how to test.
Example: User registration flow
scoutqa --url "https://example.com" --prompt "
Explore the user registration flow. Test form validation edge cases,
verify error handling, and check accessibility compliance.
"
Example: E-commerce checkout
scoutqa --url "https://shop.example.com" --prompt "
Test the checkout flow. Verify pricing calculations, cart persistence,
payment options, and mobile responsiveness.
"
Example: Running parallel tests for comprehensive coverage
Launch multiple tests in parallel by making multiple Bash tool calls in a single message, each with the Bash tool's timeout parameter set to 5000 (milliseconds):
# Test 1: Authentication & security
scoutqa --url "https://app.example.com" --prompt "
Explore authentication: login/logout, session handling, password reset,
and security edge cases.
"
# Test 2: Core features (runs in parallel)
scoutqa --url "https://app.example.com" --prompt "
Test dashboard and main user workflows. Verify data loading,
CRUD operations, and search functionality.
"
# Test 3: Accessibility (runs in parallel)
scoutqa --url "https://app.example.com" --prompt "
Conduct accessibility audit: WCAG compliance, keyboard navigation,
screen reader support, color contrast.
"
Implementation: Send a single message with three Bash tool calls. For each Bash tool invocation, set the timeout parameter to 5000 milliseconds. After 5 seconds, each Bash call returns with a task ID while the processes continue running in the background. This captures the execution ID and browser URL from each test in the initial output, then all three continue running in parallel (both as background tasks locally and remotely on ScoutQA's infrastructure).
Key guidelines:
timeout parameter to 5000 milliseconds when calling scoutqa commands (this returns control after 5 seconds while the process continues in the background)Post-deployment smoke test:
scoutqa --url "$URL" --prompt "
Smoke test: verify critical functionality works after deployment.
Check homepage, navigation, login/logout, and key user flows.
"
Accessibility audit:
scoutqa --url "$URL" --prompt "
Audit accessibility: WCAG 2.1 AA compliance, keyboard navigation,
screen reader support, color contrast, and semantic HTML.
"
E-commerce testing:
scoutqa --url "$URL" --prompt "
Explore e-commerce functionality: product search/filtering,
cart operations, checkout flow, and pricing calculations.
"
SaaS application:
scoutqa --url "$URL" --prompt "
Test SaaS app: authentication, dashboard, CRUD operations,
permissions, and data integrity.
"
Form validation:
scoutqa --url "$URL" --prompt "
Test form validation: edge cases, error handling, required fields,
format validation, and successful submission.
"
Mobile responsiveness:
scoutqa --url "$URL" --prompt "
Check mobile experience: responsive layout, navigation,
touch interactions, and viewport behavior.
"
Verification of a known issue:
# First, find issue IDs from a previous execution
scoutqa list-issues --execution-id <executionId>
# Then verify the issue (creates a new verification execution automatically)
scoutqa issue-verify --issue-id <issueId>
The issue-verify command will:
Feature verification (after implementation):
scoutqa --url "$URL" --prompt "
Verify the new [feature name] works correctly. Test core functionality,
edge cases, error handling, and integration with existing features.
"
Example: Proactive testing after coding a feature
After implementing a user registration form, automatically verify it works:
scoutqa --url "http://localhost:3000/register" --prompt "
Test the newly implemented registration form. Verify:
- Form validation (email format, password strength, required fields)
- Error messages display correctly
- Successful registration flow
- Edge cases (duplicate emails, special characters, etc.)
"
This catches issues immediately while the implementation is fresh in context.
Use scoutqa list-issues to browse issues found in a previous execution. This is useful for finding issue IDs to use with issue-verify.
scoutqa list-issues --execution-id <executionId>
Options:
--execution-id (required): Execution ID (from the /t/<executionId> URL or CLI output)Example output:
Showing 3 issues:
🔴 019c-abc1
Login button unresponsive on mobile
Severity: critical | Category: usability | Status: open
🟠 019c-abc2
Missing form validation on email field
Severity: high | Category: functional | Status: open
🟡 019c-abc3
Color contrast insufficient on footer links
Severity: medium | Category: accessibility | Status: resolved
Right after running the scoutqa command, present the execution details to the user:
**ScoutQA Test Started**
Execution ID: `019b831d-xxx`
View Live: https://app.scoutqa.ai/t/019b831d-xxx
The test is running remotely. You can view real-time progress in your browser at the link above while I continue with other tasks.
When the execution completes, use this format to present findings:
**ScoutQA Test Results**
Execution ID: `ex_abc123`
**Issues Found:**
[High] Accessibility: Missing alt text on logo image
- Impact: Screen readers cannot describe the logo
- Location: Header navigation
[Medium] Usability: Submit button not visible on mobile viewport
- Impact: Users cannot complete form on mobile devices
- Location: Contact form, bottom of page
[Low] Functional: Search returns no results for valid queries
- Impact: Search feature appears broken
- Location: Main search bar
**Summary:** Found 3 issues across accessibility, usability, and functional categories. See full interactive report with screenshots at the URL above.
Always include:
ex_abc123) for referenceIf the remote agent gets stuck or needs clarification, use send-message to continue:
# Example: Agent is stuck at login, user provides credentials
scoutqa send-message --execution-id ex_abc123 --prompt "
Use these test credentials: username: [email protected], password: TestPass123
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Productivitysame repoReviews
4.8★★★★★38 reviews- SShikha Mishra★★★★★Dec 20, 2024
scoutqa-test has been reliable in day-to-day use. Documentation quality is above average for community skills.
- OOmar Choi★★★★★Dec 12, 2024
Keeps context tight: scoutqa-test is the kind of skill you can hand to a new teammate without a long onboarding doc.
- HHarper Srinivasan★★★★★Dec 8, 2024
We added scoutqa-test from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- HHarper Iyer★★★★★Nov 27, 2024
scoutqa-test fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- RRahul Santra★★★★★Nov 11, 2024
scoutqa-test reduced setup friction for our internal harness; good balance of opinion and flexibility.
- NNoah Kapoor★★★★★Nov 3, 2024
scoutqa-test is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- DDev Smith★★★★★Oct 22, 2024
Solid pick for teams standardizing on skills: scoutqa-test is focused, and the summary matches what you get after install.
- HHarper Robinson★★★★★Oct 18, 2024
scoutqa-test has been reliable in day-to-day use. Documentation quality is above average for community skills.
- PPratham Ware★★★★★Oct 2, 2024
We added scoutqa-test from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- IIshan Gonzalez★★★★★Sep 21, 2024
scoutqa-test is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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