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N8N Validation Expert

Checked
czlonkowski·vlatest·productivity·MIT

Validates n8n workflows, identifies errors, suggests improvements, and ensures reliable automation execution.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add czlonkowski/n8n-skills --skill n8n-validation-expert -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

czlonkowski

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned czlonkowski/n8n-skills at 19cd793f47.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
19cd793f47
Manifest
skills/n8n-validation-expert/SKILL.md
Scanned
5 files, 2,428 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The n8n-validation-expert skill allows AI agents to validate data against JSON schema. It can check if incoming data conforms to a specific structure and rules, ensuring data quality before further processing. This skill is particularly useful for integrating with systems that require strict data formats or for preventing errors caused by malformed input.

When to use it

  • Data Entry Validation: Validate user-submitted forms or API requests against predefined schemas to ensure accurate information capture.
  • Webhook Processing: Verify the structure of incoming webhook payloads before triggering workflows, preventing unexpected failures.
  • ETL Processes: Ensure data consistency and quality during Extract, Transform, Load (ETL) operations by validating data at each stage.
  • API Integration: Validate responses from external APIs to confirm they adhere to expected formats and prevent downstream errors.

Key capabilities

  • JSON Schema Validation: Validates data against a provided JSON schema definition.
  • Error Reporting: Provides detailed error messages when validation fails, indicating the specific issues with the input data.
  • Data Transformation (Potential): While not explicitly stated, could potentially transform data to conform to the schema if configured.

Example prompts

  • "Validate this JSON data against the following schema: [schema definition]"
  • "Check if this webhook payload is valid according to our order processing schema."
  • "Can you confirm that this API response matches the expected product details format?"

Tips & gotchas

  • Requires a clear and accurate JSON Schema definition for effective validation. Incorrect schemas will lead to inaccurate results.