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    czlonkowski

    n8n-validation-expert

    czlonkowski/n8n-validation-expert
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    SKILL.md

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    About

    Interpret validation errors and guide fixing them...

    SKILL.md

    n8n Validation Expert

    Expert guide for interpreting and fixing n8n validation errors.


    Validation Philosophy

    Validate early, validate often

    Validation is typically iterative:

    • Expect validation feedback loops
    • Usually 2-3 validate → fix cycles
    • Average: 23s thinking about errors, 58s fixing them

    Key insight: Validation is an iterative process, not one-shot!


    Error Severity Levels

    1. Errors (Must Fix)

    Blocks workflow execution - Must be resolved before activation

    Types:

    • missing_required - Required field not provided
    • invalid_value - Value doesn't match allowed options
    • type_mismatch - Wrong data type (string instead of number)
    • invalid_reference - Referenced node doesn't exist
    • invalid_expression - Expression syntax error

    Example:

    {
      "type": "missing_required",
      "property": "channel",
      "message": "Channel name is required",
      "fix": "Provide a channel name (lowercase, no spaces, 1-80 characters)"
    }
    

    2. Warnings (Should Fix)

    Doesn't block execution - Workflow can be activated but may have issues

    Types:

    • best_practice - Recommended but not required
    • deprecated - Using old API/feature
    • performance - Potential performance issue

    Example:

    {
      "type": "best_practice",
      "property": "errorHandling",
      "message": "Slack API can have rate limits",
      "suggestion": "Add onError: 'continueRegularOutput' with retryOnFail"
    }
    

    3. Suggestions (Optional)

    Nice to have - Improvements that could enhance workflow

    Types:

    • optimization - Could be more efficient
    • alternative - Better way to achieve same result

    The Validation Loop

    Pattern from Telemetry

    7,841 occurrences of this pattern:

    1. Configure node
       ↓
    2. validate_node (23 seconds thinking about errors)
       ↓
    3. Read error messages carefully
       ↓
    4. Fix errors
       ↓
    5. validate_node again (58 seconds fixing)
       ↓
    6. Repeat until valid (usually 2-3 iterations)
    

    Example

    // Iteration 1
    let config = {
      resource: "channel",
      operation: "create"
    };
    
    const result1 = validate_node({
      nodeType: "nodes-base.slack",
      config,
      profile: "runtime"
    });
    // → Error: Missing "name"
    
    // ⏱️  23 seconds thinking...
    
    // Iteration 2
    config.name = "general";
    
    const result2 = validate_node({
      nodeType: "nodes-base.slack",
      config,
      profile: "runtime"
    });
    // → Error: Missing "text"
    
    // ⏱️  58 seconds fixing...
    
    // Iteration 3
    config.text = "Hello!";
    
    const result3 = validate_node({
      nodeType: "nodes-base.slack",
      config,
      profile: "runtime"
    });
    // → Valid! ✅
    

    This is normal! Don't be discouraged by multiple iterations.


    Validation Profiles

    Choose the right profile for your stage:

    minimal

    Use when: Quick checks during editing

    Validates:

    • Only required fields
    • Basic structure

    Pros: Fastest, most permissive Cons: May miss issues

    runtime (RECOMMENDED)

    Use when: Pre-deployment validation

    Validates:

    • Required fields
    • Value types
    • Allowed values
    • Basic dependencies

    Pros: Balanced, catches real errors Cons: Some edge cases missed

    This is the recommended profile for most use cases

    ai-friendly

    Use when: AI-generated configurations

    Validates:

    • Same as runtime
    • Reduces false positives
    • More tolerant of minor issues

    Pros: Less noisy for AI workflows Cons: May allow some questionable configs

    strict

    Use when: Production deployment, critical workflows

    Validates:

    • Everything
    • Best practices
    • Performance concerns
    • Security issues

    Pros: Maximum safety Cons: Many warnings, some false positives


    Common Error Types

    1. missing_required

    What it means: A required field is not provided

    How to fix:

    1. Use get_node to see required fields
    2. Add the missing field to your configuration
    3. Provide an appropriate value

    Example:

    // Error
    {
      "type": "missing_required",
      "property": "channel",
      "message": "Channel name is required"
    }
    
    // Fix
    config.channel = "#general";
    

    2. invalid_value

    What it means: Value doesn't match allowed options

    How to fix:

    1. Check error message for allowed values
    2. Use get_node to see options
    3. Update to a valid value

    Example:

    // Error
    {
      "type": "invalid_value",
      "property": "operation",
      "message": "Operation must be one of: post, update, delete",
      "current": "send"
    }
    
    // Fix
    config.operation = "post";  // Use valid operation
    

    3. type_mismatch

    What it means: Wrong data type for field

    How to fix:

    1. Check expected type in error message
    2. Convert value to correct type

    Example:

    // Error
    {
      "type": "type_mismatch",
      "property": "limit",
      "message": "Expected number, got string",
      "current": "100"
    }
    
    // Fix
    config.limit = 100;  // Number, not string
    

    4. invalid_expression

    What it means: Expression syntax error

    How to fix:

    1. Use n8n Expression Syntax skill
    2. Check for missing {{}} or typos
    3. Verify node/field references

    Example:

    // Error
    {
      "type": "invalid_expression",
      "property": "text",
      "message": "Invalid expression: $json.name",
      "current": "$json.name"
    }
    
    // Fix
    config.text = "={{$json.name}}";  // Add {{}}
    

    5. invalid_reference

    What it means: Referenced node doesn't exist

    How to fix:

    1. Check node name spelling
    2. Verify node exists in workflow
    3. Update reference to correct name

    Example:

    // Error
    {
      "type": "invalid_reference",
      "property": "expression",
      "message": "Node 'HTTP Requets' does not exist",
      "current": "={{$node['HTTP Requets'].json.data}}"
    }
    
    // Fix - correct typo
    config.expression = "={{$node['HTTP Request'].json.data}}";
    

    6. patchNodeField Errors

    What it means: A patchNodeField operation failed during n8n_update_partial_workflow

    The patchNodeField operation is strict by design — it errors instead of silently continuing when something is wrong. This catches mistakes early but means you need to handle these specific error cases.

    Error: Find string not found The patch's find value doesn't exist in the target field. This usually means the content was already changed, or the find string has a typo.

    patchNodeField: find string not found in field "parameters.jsCode"
    

    How to fix: Double-check the exact string. Use n8n_get_workflow to inspect the current field value. Whitespace and line endings matter — if unsure, use regex: true with \s+ for flexible whitespace matching.

    Error: Ambiguous match (multiple occurrences) The find string appears more than once in the field. Without replaceAll: true, this is treated as ambiguous and rejected.

    patchNodeField: find string matches 3 times in field "parameters.jsCode" — set replaceAll: true to replace all, or use a more specific find string
    

    How to fix: Either set replaceAll: true if you want to replace all occurrences, or make your find string more specific to match only the intended location.

    Error: Invalid regex pattern When regex: true, the pattern is validated for correctness and safety.

    patchNodeField: invalid or unsafe regex pattern
    

    How to fix: Check regex syntax. Nested quantifiers like (a+)+ and overlapping alternations like (\w|\d)+ are rejected as ReDoS risks. Simplify the pattern.


    Auto-Sanitization System

    What It Does

    Automatically fixes common operator structure issues on ANY workflow update

    Runs when:

    • n8n_create_workflow
    • n8n_update_partial_workflow
    • Any workflow save operation

    What It Fixes

    1. Binary Operators (Two Values)

    Operators: equals, notEquals, contains, notContains, greaterThan, lessThan, startsWith, endsWith

    Fix: Removes singleValue property (binary operators compare two values)

    Before:

    {
      "type": "boolean",
      "operation": "equals",
      "singleValue": true  // ❌ Wrong!
    }
    

    After (automatic):

    {
      "type": "boolean",
      "operation": "equals"
      // singleValue removed ✅
    }
    

    2. Unary Operators (One Value)

    Operators: isEmpty, isNotEmpty, true, false

    Fix: Adds singleValue: true (unary operators check single value)

    Before:

    {
      "type": "boolean",
      "operation": "isEmpty"
      // Missing singleValue ❌
    }
    

    After (automatic):

    {
      "type": "boolean",
      "operation": "isEmpty",
      "singleValue": true  // ✅ Added
    }
    

    3. IF/Switch Metadata

    Fix: Adds complete conditions.options metadata for IF v2.2+ and Switch v3.2+

    What It CANNOT Fix

    1. Broken Connections

    References to non-existent nodes

    Solution: Use cleanStaleConnections operation in n8n_update_partial_workflow

    2. Branch Count Mismatches

    3 Switch rules but only 2 output connections

    Solution: Add missing connections or remove extra rules

    3. Paradoxical Corrupt States

    API returns corrupt data but rejects updates

    Solution: May require manual database intervention


    False Positives

    What Are They?

    Validation warnings that are technically "wrong" but acceptable in your use case

    Common False Positives

    1. "Missing error handling"

    Warning: No error handling configured

    When acceptable:

    • Simple workflows where failures are obvious
    • Testing/development workflows
    • Non-critical notifications

    When to fix: Production workflows handling important data

    2. "No retry logic"

    Warning: Node doesn't retry on failure

    When acceptable:

    • APIs with their own retry logic
    • Idempotent operations
    • Manual trigger workflows

    When to fix: Flaky external services, production automation

    3. "Missing rate limiting"

    Warning: No rate limiting for API calls

    When acceptable:

    • Internal APIs with no limits
    • Low-volume workflows
    • APIs with server-side rate limiting

    When to fix: Public APIs, high-volume workflows

    4. "Unbounded query"

    Warning: SELECT without LIMIT

    When acceptable:

    • Small known datasets
    • Aggregation queries
    • Development/testing

    When to fix: Production queries on large tables

    Reducing False Positives

    Use ai-friendly profile:

    validate_node({
      nodeType: "nodes-base.slack",
      config: {...},
      profile: "ai-friendly"  // Fewer false positives
    })
    

    Validation Result Structure

    Complete Response

    {
      "valid": false,
      "errors": [
        {
          "type": "missing_required",
          "property": "channel",
          "message": "Channel name is required",
          "fix": "Provide a channel name (lowercase, no spaces)"
        }
      ],
      "warnings": [
        {
          "type": "best_practice",
          "property": "errorHandling",
          "message": "Slack API can have rate limits",
          "suggestion": "Add onError: 'continueRegularOutput'"
        }
      ],
      "suggestions": [
        {
          "type": "optimization",
          "message": "Consider using batch operations for multiple messages"
        }
      ],
      "summary": {
        "hasErrors": true,
        "errorCount": 1,
        "warningCount": 1,
        "suggestionCount": 1
      }
    }
    

    How to Read It

    1. Check valid field

    if (result.valid) {
      // ✅ Configuration is valid
    } else {
      // ❌ Has errors - must fix before deployment
    }
    

    2. Fix errors first

    result.errors.forEach(error => {
      console.log(`Error in ${error.property}: ${error.message}`);
      console.log(`Fix: ${error.fix}`);
    });
    

    3. Review warnings

    result.warnings.forEach(warning => {
      console.log(`Warning: ${warning.message}`);
      console.log(`Suggestion: ${warning.suggestion}`);
      // Decide if you need to address this
    });
    

    4. Consider suggestions

    // Optional improvements
    // Not required but may enhance workflow
    

    Workflow Validation

    validate_workflow (Structure)

    Validates entire workflow, not just individual nodes

    Checks:

    1. Node configurations - Each node valid
    2. Connections - No broken references
    3. Expressions - Syntax and references valid
    4. Flow - Logical workflow structure

    Example:

    validate_workflow({
      workflow: {
        nodes: [...],
        connections: {...}
      },
      options: {
        validateNodes: true,
        validateConnections: true,
        validateExpressions: true,
        profile: "runtime"
      }
    })
    

    Common Workflow Errors

    1. Broken Connections

    {
      "error": "Connection from 'Transform' to 'NonExistent' - target node not found"
    }
    

    Fix: Remove stale connection or create missing node

    2. Circular Dependencies

    {
      "error": "Circular dependency detected: Node A → Node B → Node A"
    }
    

    Fix: Restructure workflow to remove loop

    3. Multiple Start Nodes

    {
      "warning": "Multiple trigger nodes found - only one will execute"
    }
    

    Fix: Remove extra triggers or split into separate workflows

    4. Disconnected Nodes

    {
      "warning": "Node 'Transform' is not connected to workflow flow"
    }
    

    Fix: Connect node or remove if unused


    Recovery Strategies

    Strategy 1: Start Fresh

    When: Configuration is severely broken

    Steps:

    1. Note required fields from get_node
    2. Create minimal valid configuration
    3. Add features incrementally
    4. Validate after each addition

    Strategy 2: Binary Search

    When: Workflow validates but executes incorrectly

    Steps:

    1. Remove half the nodes
    2. Validate and test
    3. If works: problem is in removed nodes
    4. If fails: problem is in remaining nodes
    5. Repeat until problem isolated

    Strategy 3: Clean Stale Connections

    When: "Node not found" errors

    Steps:

    n8n_update_partial_workflow({
      id: "workflow-id",
      operations: [{
        type: "cleanStaleConnections"
      }]
    })
    

    Strategy 4: Use Auto-fix

    When: Validation errors that can be automatically resolved

    Steps:

    // Preview fixes (default - doesn't apply)
    n8n_autofix_workflow({
      id: "workflow-id",
      applyFixes: false,
      confidenceThreshold: "medium"  // high, medium, low
    })
    
    // Review fixes, then apply
    n8n_autofix_workflow({
      id: "workflow-id",
      applyFixes: true
    })
    

    Auto-Fix Capabilities

    The n8n_autofix_workflow tool can fix these issue types:

    1. expression-format - Missing = prefix in expressions (e.g., {{ $json.field }} → ={{ $json.field }})
    2. typeversion-correction - Downgrades nodes with unsupported typeVersions
    3. error-output-config - Removes conflicting onError settings
    4. node-type-correction - Fixes unknown node types using similarity matching (90%+ confidence)
    5. webhook-missing-path - Generates UUIDs for webhook nodes missing path configuration
    6. typeversion-upgrade - Smart upgrades to latest node versions with auto-migration
    7. version-migration - Guidance for complex breaking changes requiring manual steps

    Confidence levels: high (90%+, safe to auto-apply), medium (70-89%, review recommended), low (<70%, manual review required)

    // Preview all fixes
    n8n_autofix_workflow({id: "workflow-id"})
    
    // Only apply high-confidence fixes
    n8n_autofix_workflow({
      id: "workflow-id",
      applyFixes: true,
      confidenceThreshold: "high"
    })
    
    // Target specific fix types
    n8n_autofix_workflow({
      id: "workflow-id",
      fixTypes: ["expression-format", "typeversion-upgrade"],
      applyFixes: true
    })
    

    Post-update guidance: For version upgrades, check the postUpdateGuidance field in the response for step-by-step migration instructions.


    Best Practices

    ✅ Do

    • Validate after every significant change
    • Read error messages completely
    • Fix errors iteratively (one at a time)
    • Use runtime profile for pre-deployment
    • Check valid field before assuming success
    • Trust auto-sanitization for operator issues
    • Use get_node when unclear about requirements
    • Document false positives you accept

    ❌ Don't

    • Skip validation before activation
    • Try to fix all errors at once
    • Ignore error messages
    • Use strict profile during development (too noisy)
    • Assume validation passed (always check result)
    • Manually fix auto-sanitization issues
    • Deploy with unresolved errors
    • Ignore all warnings (some are important!)

    Detailed Guides

    For comprehensive error catalogs and false positive examples:

    • ERROR_CATALOG.md - Complete list of error types with examples
    • FALSE_POSITIVES.md - When warnings are acceptable

    Summary

    Key Points:

    1. Validation is iterative (avg 2-3 cycles, 23s + 58s)
    2. Errors must be fixed, warnings are optional
    3. Auto-sanitization fixes operator structures automatically
    4. Use runtime profile for balanced validation
    5. False positives exist - learn to recognize them
    6. Read error messages - they contain fix guidance

    Validation Process:

    1. Validate → Read errors → Fix → Validate again
    2. Repeat until valid (usually 2-3 iterations)
    3. Review warnings and decide if acceptable
    4. Deploy with confidence

    Related Skills & Tools:

    • n8n MCP Tools Expert - Use validation tools correctly
    • n8n Expression Syntax - Fix expression errors
    • n8n Node Configuration - Understand required fields
    • n8n_audit_instance - Proactive security validation (hardcoded secrets, unauthenticated webhooks, missing error handling, data retention)
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