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N8N Integration Testing Patterns

Listed
proffesor-for-testing·vlatest·productivity·MIT

Helps with integration, testing, patterns as part of testing, debugging, and quality assurance workflows.

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 proffesor-for-testing/agentic-qe --skill n8n-integration-testing-patterns -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

proffesor-for-testing

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: slack.com, www.googleapis.com.

    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.

    Hosts contacted

    slack.comundeclaredwww.googleapis.comundeclaredapi.github.comsource host

    What it found (3 of 8)

    • .claude/skills/n8n-integration-testing-patterns/SKILL.md:98contacts slack.com
      const response = await fetch('https://slack.com/api/auth.test', {
    • .claude/skills/n8n-integration-testing-patterns/SKILL.md:427contacts slack.com
      return await fetch('https://slack.com/api/chat.postMessage', {
    • .claude/skills/n8n-integration-testing-patterns/SKILL.md:447contacts slack.com
      return await fetch('https://slack.com/api/files.upload', {

  • 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 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 proffesor-for-testing/agentic-qe at 124d8c735e.

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

Commit
124d8c735e
Manifest
assets/skills/n8n-integration-testing-patterns/SKILL.md
Scanned
8 files, 2,756 lines
Copies in repo
2 — all of them scanned
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

This skill enables AI agents to execute and validate complex n8n workflow integrations by simulating real-world data flows and verifying output consistency. It specifically targets the validation of multi-step automation chains where data transformation and external API interactions occur.

When to use it

  • Validate end-to-end workflows before deploying to production environments to catch logic errors early.
  • Test complex data transformations involving multiple nodes, such as filtering, mapping, and merging datasets.
  • Verify that external API integrations within an n8n workflow return expected responses under various conditions.
  • Ensure business logic rules are correctly implemented across the entire automation chain.

Key capabilities

  • Automated execution of n8n workflows with dynamic input data injection.
  • Validation of output structures against defined schemas or expected values.
  • Simulation of edge cases and error scenarios within workflow nodes.
  • Reporting on workflow success rates, latency, and specific node failures.

Example prompts

  • "Run the 'Customer Onboarding' n8n workflow with a test dataset containing invalid email formats and report any failures."
  • "Simulate a high-volume data push through the 'Inventory Sync' workflow and verify that all records are correctly transformed before sending to the ERP API."
  • "Execute the 'Invoice Generation' workflow using sample transaction data and confirm that the final PDF output matches the expected template structure."

Tips & gotchas

Ensure your n8n workflows are accessible and properly configured with necessary credentials before running automated tests. This skill is most effective when combined with a clear definition of expected outputs for each workflow node to enable precise validation.