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Agent Skill · 运维和基础设施

n8n-validation-expert(n8n 验证专家)

n8n-validation-expert 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

n8n-validation-expert 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 1,803。

总安装 392周安装 16GitHub Stars 62下载 125核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:n8n-validation-expert(n8n 验证专家)
来源仓库:https://github.com/profsynapse/pact-plugin
仓库路径:skills/n8n-validation-expert
安装命令:
npx skills add https://github.com/profsynapse/pact-plugin --skill n8n-validation-expert
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/profsynapse/pact-plugin --skill n8n-validation-expert

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

要点: 验证是迭代的(平均 2-3 个周期,23s + 58s) 错误必须被修复,警告是可选的 自动清理自动修复操作员结构 使用运行时配置文件进行平衡验证 存在误报 - 学会识别它们 阅读错误消息 - 它们包含修复指南 验证过程: 验证→读取错误→修复→再次验证 重复直到有效(通常2-3次迭代) 查看警告并决定是否可以接受 充满信心地部署 相关技能: n8n MCP Tools Expert - 正确使用验证工具 n8n 表达式语法 - 修复表达式错误 n8n 节点配置 - 了解必填字段 每周安装量 16 存储库 profsynapse/pact-插件 GitHub 之星 62 第一次看到 2026 年 2 月 26 日 安全审计 Gen Agent Trust Hub 通行证 套接字通行证 斯尼克通行证

来源仓库内路径:skills/n8n-validation-expert

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/profsynapse/pact-plugin --skill n8n-validation…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

n8n-validation-expert 怎么安装?

在终端执行 npx skills add https://github.com/profsynapse/pact-plugin --skill n8n-validation-expert。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

n8n-validation-expert 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

n8n-validation-expert 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

n8n-validation-expert 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

n8n-validation-expert 用的人多吗?

公开数据是累计安装 392 次,近一周安装 16 次,下载 125 次,GitHub 62 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

n8n-validation-expert 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
n8n-validation-expert

n8n 验证专家 · 本页

39262调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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}}";

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: Operator structure errors

Steps:

n8n_autofix_workflow({
  id: "workflow-id",
  applyFixes: false  // Preview first
})

// Review fixes, then apply
n8n_autofix_workflow({
  id: "workflow-id",
  applyFixes: true
})

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:


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:

  • n8n MCP Tools Expert - Use validation tools correctly
  • n8n Expression Syntax - Fix expression errors
  • n8n Node Configuration - Understand required fields

平台分布

Codex

35.19%
按下载量换算44

Claude

32.1%
按下载量换算40

Cursor

17.37%
按下载量换算22

Gemini CLI

10.1%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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