What is ai-automation-n8n CLAUDE.md?

Instructions for documenting an n8n workflow repository with more than 34 AI automation examples. n8n is a tool for connecting steps into automated workflows, and the guide defines how to improve its documentation while keeping changes focused.

Use it when creating or improving the repository’s guides for invoice processing, AI agents, workflow examples, setup, common problems, or reader quality checks.

It gives documentation work a consistent structure, including quick starts, prerequisites, examples, troubleshooting, and suggestions for useful visuals.

How qwedsazxc78/ai-automation-n8n configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to qwedsazxc78/ai-automation-n8n. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/qwedsazxc78/ai-automation-n8n/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/qwedsazxc78/ai-automation-n8n

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/qwedsazxc78/ai-automation-n8n/claude-md/github.svg)](https://agentmods.dev/instructions/qwedsazxc78/ai-automation-n8n/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/qwedsazxc78/ai-automation-n8n/claude-md"><img src="https://agentmods.dev/badge/instructions/qwedsazxc78/ai-automation-n8n/claude-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/qwedsazxc78/ai-automation-n8n/claude-md"><img src="https://agentmods.dev/badge/instructions/qwedsazxc78/ai-automation-n8n/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,417 This file is loaded in full into every session.

When invoked 1,417 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.01417	$0.01417
Opus 5.5	$0.00567	$0.00567
Sonnet 5.5	$0.00283	$0.00283
Haiku 4.5	$0.00142	$0.00142

Measured 2mo ago against content hash cb2735fe8a9d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-automation-n8n CLAUDE.md 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 2mo 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.

CLAUDE.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

This is an n8n workflow automation educational repository featuring 34+ AI-powered automation examples. The project demonstrates various use cases from invoice processing to AI agent integrations, primarily documented in Traditional Chinese for the Chinese-speaking community.

Document Agents for Enhanced Readiness

1. Document Generator Agent

When asked to create or enhance documentation with minimal changes:

Primary Goals:

Preserve existing structure and content
Add only essential missing information
Maintain consistency with existing documentation style
Focus on user readability and quick comprehension

Document Enhancement Checklist:

Quick Start Section: Ensure users can get started within 2 minutes
Prerequisites: Clear list of required tools/dependencies
Common Use Cases: 3-5 practical examples
Troubleshooting: Top 5 common issues and solutions
Visual Aids: Suggest where diagrams/screenshots would help

Minimal Change Principles:

Add clarifying examples rather than rewriting sections
Insert helpful tips in existing sections
Use inline comments for technical clarifications
Preserve original author's voice and terminology

2. Reader Agent for Document Quality Check

When validating documentation readiness, simulate a new user perspective:

Reader Agent Checklist:

First Impression Test (30 seconds)
- Can I understand what this project does?
- Is the value proposition clear?
- Do I know where to start?
Setup Validation (5 minutes)
- Are all commands copy-pasteable?
- Do environment variables have clear examples?
- Is there a "hello world" test to verify setup?
Navigation Test
- Can I find specific features/workflows easily?
- Are related documents cross-referenced?
- Is the table of contents helpful?
Comprehension Check
- Would a junior developer understand this?
- Are technical terms explained on first use?
- Do examples progress from simple to complex?

Read the full file on GitHub · 203 lines

Changes

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.

2mo ago First seen · 203 lines · 1,417 tokens per session scan A cb2735fe8a9d

Subscribe to this mod's changes

ai-automation-n8n CLAUDE.md is an instructions file published in the GitHub repository qwedsazxc78/ai-automation-n8n (151 stars, last pushed 7mo ago), licensed MIT. It adds 1,417 tokens to every session, about $0.0057 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents Documents

ai-automation-n8n CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ai-automation-n8n CLAUDE.mdqwedsazxc78/ai-automation-n8n	Instructions file	151	7mo ago	MIT	A	1,417	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

ai-automation-n8n: Instructions file for Claude Code