n8n-validation-expert

n8n-validation-expert is a skill for Claude Code, Codex from luislopezsanchez/n8n-mcp-server. It costs 91 tokens per session (4,459 once invoked), scanned A, a copy of n8n-validation-expert, MIT.

A guide for understanding n8n validation results, where validation checks whether an automation workflow is configured correctly. It explains errors, warnings, validation profiles, and the repeated fix-and-check process.

In plain words
What is it for?
Use it to diagnose n8n validation errors and warnings, check operator structure, choose validation profiles, and follow an iterative repair process.
Why use it?
It makes messages such as missing fields, invalid values, broken references, and expression errors easier to understand and correct.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to diagnose n8n validation errors and warnings, check operator structure, choose validation profiles, and follow an iterative repair process.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/luislopezsanchez/n8n-mcp-server/n8n-validation-expert
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add luislopezsanchez/n8n-mcp-server --skill n8n-validation-expert
Clone the repo
git clone --depth 1 https://github.com/luislopezsanchez/n8n-mcp-server

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for n8n-validation-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/luislopezsanchez/n8n-mcp-server/n8n-validation-expert/github.svg)](https://agentmods.dev/skills/luislopezsanchez/n8n-mcp-server/n8n-validation-expert)
Your own site
<a href="https://agentmods.dev/skills/luislopezsanchez/n8n-mcp-server/n8n-validation-expert"><img src="https://agentmods.dev/badge/skills/luislopezsanchez/n8n-mcp-server/n8n-validation-expert/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for n8n-validation-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/luislopezsanchez/n8n-mcp-server/n8n-validation-expert"><img src="https://agentmods.dev/badge/skills/luislopezsanchez/n8n-mcp-server/n8n-validation-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,459 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.04459
Opus 5 $0.00046 $0.02230
Sonnet 5 $0.00018 $0.00892
Haiku 4.5 $0.00009 $0.00446

Measured 9d ago against content hash b530ea608447, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

n8n-validation-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to n8n-validation-expert — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

data/skills/n8n-validation-expert/SKILL.md · 762 lines

How it starts

The opening of the file, as written. The whole thing — 762 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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! ✅

Read the full file on GitHub · 762 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 762 lines · 91 tokens per session scan A b530ea608447

Subscribe to this mod's changes

n8n-validation-expert is a skill published in the GitHub repository luislopezsanchez/n8n-mcp-server (0 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 4,459 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to n8n-validation-expert, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens

diagnose

Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.

emdash-cms/emdash · 43 tokens

repro-admin

Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.

emdash-cms/emdash · 48 tokens

log-error-digest

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…

zebbern/claude-code-guide · 71 tokens

byted-util-volcengine-detect-retry

An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.

bytedance/agentkit-samples · 101 tokens