playwright-console-monitor
Executes browser workflows while monitoring JavaScript console for errors, warnings, and messages. Use when you need error-free validation, debugging context during automation, or proactive error detection in web applications. Triggers on "check for console errors", "monitor JavaScript errors", "validate error-free execution", or "debug browser workflow". Works with Playwright MCP browser automation tools.
How do I install this agent skill?
npx skills add https://github.com/dawiddutoit/custom-claude --skill playwright-console-monitorIs this agent skill safe to install?
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The playwright-console-monitor skill is a diagnostic tool designed to observe and report browser console activity during automated workflows. It utilizes standard Playwright MCP tools to detect JavaScript errors and warnings, providing structured reporting templates for debugging. No security risks or malicious patterns were identified in the analysis.
- Socketpass
No alerts
- Snykwarn
Risk: MEDIUM · No issues
What does this agent skill do?
Playwright Console Monitor
Quick Start
Monitor console errors during a login workflow:
1. Navigate to application
2. Execute login steps
3. Check console for errors after each critical operation
4. Generate error report with screenshots
5. Provide debugging context
Immediate value: Catch JavaScript errors during automation that would otherwise go unnoticed.
Table of Contents
- When to Use This Skill
- What This Skill Does
- Console Error Monitoring Workflow 3.1 Setup and Navigation 3.2 Execute with Monitoring 3.3 Error Detection and Categorization 3.4 Report Generation
- Console Message Levels
- Supporting Files
- Expected Outcomes
- Integration Points
- Success Metrics
- Requirements
- Red Flags to Avoid
- Notes
When to Use This Skill
Explicit Triggers
- User says "check for console errors"
- User says "monitor JavaScript errors during [workflow]"
- User says "validate error-free execution"
- User says "debug this workflow"
- User requests "console monitoring"
Implicit Triggers
- Executing critical browser workflows (checkout, form submission, data operations)
- Testing new features or deployments
- Debugging intermittent failures
- Validating application health
- QA automation scenarios
Debugging Context
- When workflows fail without obvious cause
- When investigating "works for me" issues
- When validating frontend error handling
- When checking third-party script integration
What This Skill Does
This skill wraps browser automation workflows with console monitoring to:
- Proactive Error Detection - Catch JavaScript errors during workflow execution
- Error Categorization - Classify errors by severity (critical/warning/info/debug)
- Context Capture - Take screenshots and snapshots at error states
- Report Generation - Provide structured error reports with debugging context
- Continuous Monitoring - Check console after each critical operation
Console Error Monitoring Workflow
3.1 Setup and Navigation
Step 1: Navigate to application
Use: mcp__playwright__browser_navigate
- Navigate to target URL
- Wait for page load
Step 2: Clear initial console messages (optional)
Use: mcp__playwright__browser_console_messages
- Read and discard initial load messages
- Establishes clean baseline for workflow monitoring
3.2 Execute with Monitoring
Step 3: Execute workflow with checkpoints
For each critical operation:
- Execute the action (click, type, navigate)
- Wait for expected state
- Check console messages
- Log any new errors/warnings
Example pattern:
Action: Click "Submit Order" button
→ mcp__playwright__browser_click
Wait: Order confirmation appears
→ mcp__playwright__browser_wait_for
Check: Console errors
→ mcp__playwright__browser_console_messages({ level: "error" })
Critical operation checkpoints:
- Form submissions
- Navigation between pages
- AJAX/fetch requests
- Third-party script loads
- Authentication flows
- Payment processing
- Data mutations
3.3 Error Detection and Categorization
Step 4: Categorize detected errors
Use console message levels to filter:
| Level | Includes | When to Use |
|---|---|---|
error | Critical errors only | After critical operations (checkout, submit) |
warning | Warnings + errors | During form validation, feature usage |
info | Info + warnings + errors | General workflow monitoring |
debug | All messages | Detailed debugging scenarios |
Step 5: Capture error context
For each error detected:
- Take screenshot of current state
mcp__playwright__browser_take_screenshot - Capture page snapshot
mcp__playwright__browser_snapshot - Record error message, timestamp, and operation
3.4 Report Generation
Step 6: Generate structured error report
Report format:
Console Error Report
====================
Workflow: [workflow name]
Executed: [timestamp]
Total Errors: [count]
Critical Errors (level: error):
- [timestamp] [message]
Context: [operation that triggered]
Screenshot: [filename]
Warnings (level: warning):
- [timestamp] [message]
Context: [operation that triggered]
Info Messages:
- [summary if relevant]
Debugging Context:
- URL at time of error
- Page snapshot
- Network state (if available via browser_network_requests)
Recommendations:
- [specific debugging suggestions]
Console Message Levels
Playwright console messages follow browser console API levels:
error - Critical errors that prevent functionality
- Uncaught exceptions
- Failed network requests (4xx/5xx from critical APIs)
- Missing required resources
- Use after: Checkout, payment, form submission, authentication
warning - Non-fatal issues that may cause problems
- Deprecated API usage
- Failed optional resources
- Validation warnings
- Use after: Form interactions, navigation, feature usage
info - Informational messages
- Application lifecycle events
- Successful operations
- Debug information from application
- Use for: General monitoring, understanding application flow
debug - Verbose debugging output
- All console.log, console.debug calls
- Framework/library debug messages
- Use for: Deep debugging, understanding detailed behavior
Default recommendation: Use level: "error" after critical operations, level: "warning" for general monitoring.
Supporting Files
This skill includes:
- references/playwright-console-api.md - Detailed Playwright console API reference, message formats, and advanced patterns
- examples/examples.md - 5+ real-world monitoring scenarios (e-commerce checkout, form submission, SPA navigation, authentication, third-party integrations)
- assets/error-report-template.md - Template for structured error reports
Expected Outcomes
Successful Monitoring (No Errors)
✅ Console Monitoring Complete
Workflow: User Login Flow
Operations Monitored: 5
Console Errors: 0
Warnings: 0
All operations completed without console errors.
Error Detection
❌ Console Errors Detected
Workflow: Checkout Process
Operations Monitored: 8
Console Errors: 2 critical, 1 warning
Critical Errors:
1. [14:32:15] Uncaught TypeError: Cannot read property 'total' of undefined
Context: After "Apply Discount Code" click
Screenshot: checkout-error-1.png
2. [14:32:18] Failed to load resource: POST /api/payment 500
Context: After "Submit Payment" click
Screenshot: checkout-error-2.png
Warnings:
1. [14:32:10] [Deprecation] Synchronous XMLHttpRequest on the main thread
Context: During address validation
Debugging Recommendations:
- Investigate cart.total property initialization
- Check /api/payment endpoint for server errors
- Review discount code application logic
Integration Points
With Browser Automation Workflows
- Wrap existing automation with console monitoring
- Add checkpoints after critical operations
- Enhance test suites with error detection
With Debugging Workflows
- Console monitoring identifies error sources
- Screenshots provide visual debugging context
- Network requests correlate with console errors
With QA Processes
- Automated error detection in test runs
- Regression testing for console errors
- Performance monitoring (console.time/timeEnd messages)
With CI/CD Pipelines
- Fail builds on critical console errors
- Track error trends across deployments
- Validate error-free user flows
Success Metrics
| Metric | Before (Manual) | After (Skill) | Improvement |
|---|---|---|---|
| Error Detection | Reactive (user reports) | Proactive (during automation) | +95% early detection |
| Debugging Time | 30-60 min (reproduce + debug) | 5-10 min (context provided) | 80% reduction |
| False Negatives | High (errors missed) | Low (systematic checking) | 90% reduction |
| Context Quality | Minimal (user description) | Rich (screenshots, state, messages) | 10x improvement |
Requirements
Required Tools
- Playwright MCP browser automation
mcp__playwright__browser_navigatemcp__playwright__browser_console_messagesmcp__playwright__browser_snapshotmcp__playwright__browser_take_screenshotmcp__playwright__browser_click(for workflows)mcp__playwright__browser_wait_for
Environment
- Playwright browser configured and accessible
- Target application URL
Knowledge
- Basic understanding of JavaScript console API
- Familiarity with browser automation workflows
- Understanding of error severity levels
Red Flags to Avoid
- Checking console only at end - Check after each critical operation
- Ignoring warnings - Warnings often predict future critical errors
- Not capturing context - Always take screenshots at error states
- Wrong severity level - Use
errorlevel for critical operations - Skipping wait states - Ensure operations complete before checking console
- Not clearing initial messages - Page load messages contaminate workflow monitoring
- Missing operation context - Always note which operation triggered errors
- Overly verbose monitoring - Don't check console after every single action
- Ignoring network correlation - Console errors often correlate with network failures
- Not providing recommendations - Error reports should suggest debugging steps
Notes
Key Principles:
- Monitor critical operations - Focus on checkout, submit, auth, payment
- Categorize by severity - Use appropriate console levels
- Capture rich context - Screenshots + snapshots + messages
- Provide actionable reports - Include debugging recommendations
- Balance coverage vs noise - Strategic checkpoints, not every action
Console Message Persistence:
- Messages accumulate during page lifetime
- Page navigation clears console (new document)
- Consider clearing messages between checkpoints for clarity
Performance Considerations:
- Console checks add minimal overhead (~100-200ms)
- Screenshot capture is slower (~500ms-1s)
- Balance monitoring thoroughness with workflow speed
Common Patterns:
- Critical operations: Check
level: "error"immediately after - Form workflows: Check
level: "warning"after validation - Debugging: Use
level: "info"orlevel: "debug"for full visibility - Regression testing: Establish baseline, detect new errors
Integration with Network Monitoring:
- Combine with
browser_network_requestsfor complete debugging context - Network failures often manifest as console errors
- 500-series responses typically generate console errors
- CORS issues appear in console, not network tab
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
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