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N8N Code Python

Checked
promptadvisers·vlatest·backend

Generates Python code snippets within n8n workflows to automate tasks based on prompt advisor instructions.

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 promptadvisers/n8n-powerhouse --skill n8n-code-python -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

promptadvisers

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 promptadvisers/n8n-powerhouse at 90fe35268a.

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

Commit
90fe35268a
Manifest
.claude/skills/n8n-code-python/SKILL.md
Scanned
6 files, 3,895 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

This skill allows AI agents to generate and execute Python code within an n8n workflow. It's designed for tasks requiring custom logic or integration with systems not directly supported by n8n’s built-in nodes. The generated code can be used to perform calculations, manipulate data, or interact with external APIs.

When to use it

  • Complex Data Transformations: When you need more than simple mapping or filtering within an n8n workflow.
  • API Integrations: To connect to APIs that don't have pre-built n8n nodes.
  • Custom Calculations: Performing calculations requiring Python libraries like Pandas or NumPy.
  • Dynamic Content Generation: Creating content based on complex logic and data sources within your workflows.

Key capabilities

  • Generates Python code snippets.
  • Executes generated Python code within an n8n workflow environment.
  • Supports a wide range of Python libraries.

Example prompts

  • "Write a Python script to calculate the average of these numbers: [list of numbers]"
  • "Generate Python code to fetch data from this API endpoint: [API URL] and parse the JSON response."
  • “Create a python function that takes two dates as input and returns the number of days between them.”

Tips & gotchas

  • Requires an n8n account and workflow setup. Familiarity with Python is helpful for debugging or refining generated code.