N8N Code Python

Name: N8N Code Python
Author: sickn33

Listed

sickn33·vlatest·backend·MIT

Generates Python code for backend tasks, including data processing, API endpoints, and database interactions, optimized for efficiency.

Repository

Install on your platform

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

Run this in your project

terminal

$ npx skills add sickn33/agentic-awesome-skills --skill n8n-code-python -a claude-code

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

sickn33

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 19 Oct 2026

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.

Declares what it does: failed
No SKILL.md was found in the skill's directory.
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 sickn33/agentic-awesome-skills at c808e6e480.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: c808e6e480
Manifest: skills/n8n-code-python/SKILL.md
Scanned: 0 files
Copies in repo: 3 — 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 n8n node executes Python code directly within your workflow, allowing you to run custom logic without external servers. It supports both synchronous and asynchronous execution modes for handling data transformations efficiently.

When to use it

Perform complex data manipulations that standard n8n nodes cannot handle.
Integrate with local libraries or specific algorithms not available in the n8n core.
Process large datasets in memory before passing them to downstream nodes.
Run quick validation scripts or custom formatting logic inline.

Key capabilities

Execute arbitrary Python code snippets directly in the workflow.
Support for both synchronous and asynchronous execution modes.
Access to full Python standard library and installed packages.
Input/Output handling via JSON-compatible data structures.
Error handling within the node execution context.

Example prompts

"Run a Python script to filter this list of users by active status."
"Execute an async function to fetch external API data before saving."
"Transform incoming JSON payloads using custom Pandas logic."

Tips & gotchas

Ensure your n8n environment has the necessary Python packages installed, as the node relies on them for execution. Be cautious with synchronous code in high-volume workflows, as it may block the workflow engine; prefer asynchronous functions when dealing with I/O operations.