n8n-skills is a collection of Claude Code skills and hooks that guide AI assistants in creating, validating, and deploying n8n workflows through the n8n-mcp server. Developers use it to automate workflow construction, configure nodes and expressions, resolve validation errors, and operate self-hosted n8n. The catalogue entries are its skills, hooks, plugins, and instruction.
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.
npx skills add czlonkowski/n8n-skills --skill n8n-code-toolgit clone --depth 1 https://github.com/czlonkowski/n8n-skillsWrote 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.
[](https://agentmods.dev/skills/czlonkowski/n8n-skills/n8n-code-tool)<a href="https://agentmods.dev/skills/czlonkowski/n8n-skills/n8n-code-tool"><img src="https://agentmods.dev/badge/skills/czlonkowski/n8n-skills/n8n-code-tool/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.
<a href="https://agentmods.dev/skills/czlonkowski/n8n-skills/n8n-code-tool"><img src="https://agentmods.dev/badge/skills/czlonkowski/n8n-skills/n8n-code-tool.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00221 | $0.04140 |
| Opus 5 | $0.00111 | $0.02070 |
| Sonnet 5 | $0.00044 | $0.00828 |
| Haiku 4.5 | $0.00022 | $0.00414 |
Grade A, and why
n8n-code-tool 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.
This is a copy
100% identical to n8n-code-tool — 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.
How it starts
The opening of the file, as written. The whole thing — 339 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n Custom Code Tool
Expert guidance for writing code inside @n8n/n8n-nodes-langchain.toolCode — the tool an AI Agent can invoke, not the regular workflow Code node.
⚠️ This is NOT the Code node
The Custom Code Tool looks like a Code node in the editor — same JavaScript editor, similar layout — but it is a completely different node from a different package with a different runtime contract.
| Code node | Custom Code Tool | |
|---|---|---|
| Node type | n8n-nodes-base.code |
@n8n/n8n-nodes-langchain.toolCode |
| Package | n8n-nodes-base |
@n8n/n8n-nodes-langchain |
| Invoked by | Previous node (workflow flow) | AI Agent (LangChain) |
| Input | $input.all() — item stream |
query — string or object from LLM |
| Return | [{json: {...}}] (items array) |
A string |
$fromAI() |
N/A | Not available (see Errors) |
| HTTP helper | this.helpers.httpRequest (auth helpers blocked) |
Not exposed to the tool sandbox |
| State | Per-run execution data | No getContext, no $getWorkflowStaticData |
If you treat it like a Code node, it fails. The rest of this skill covers the Code Tool's actual contract.
Quick Start
Minimal JavaScript Code Tool
// `query` is whatever the AI sent (a string by default)
return `You asked: ${query}`;
Minimal Python Code Tool
# `_query` is whatever the AI sent (a string by default)
return f"You asked: {_query}"
Essential Rules
- Return a string. Numbers are auto-converted. Anything else throws
"The response property should be a string, but it is an object". - Input variable is fixed:
query(JS),_query(Python). You cannot rename it. - Do NOT use
$fromAI()inside the Code Tool sandbox — it throws"No execution data available". - Do NOT use
[{json: {...}}]return format — that's for Code nodes. Throws"Wrong output type returned". - Use a descriptive tool name (letters/numbers/underscores, v1.1+). The agent calls the tool by its name.
- Write a precise description — the LLM decides whether to invoke the tool based on it.
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.
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.
- 9d ago First seen · 339 lines · 221 tokens per session scan A 57b3b0d3a222
n8n-code-tool is a skill published in the GitHub repository czlonkowski/n8n-skills (6,202 stars, last pushed 5d ago), licensed MIT. It adds 221 tokens to every session and 4,140 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to n8n-code-tool, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
n8n-code-python
Write Python code in n8n Code nodes. Use when writing Python in n8n, using input/json/node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.
langgraph-docs
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
stripe-projects
Use after E2B sandbox/API access has been provisioned through Stripe Projects and the user needs to use the resulting E2B API key with the E2B CLI, JavaScript SDK, Python SDK, or Code Interpreter SDK.
ax-python-llm
Use when writing Python code with axllm for using the generated Ax package, factory functions, package docs, examples, and API reference.
ax-python-signature
Use when writing Python code with axllm for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.
dd-code-generation
Use pup CLI for immediate Datadog operations or generate code for integration into applications.