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.
curl -O https://raw.githubusercontent.com/qwedsazxc78/ai-automation-n8n/main/CLAUDE.mdgit clone --depth 1 https://github.com/qwedsazxc78/ai-automation-n8nWrote 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/instructions/qwedsazxc78/ai-automation-n8n/claude-md)<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.
<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>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 | $0.00709 | $0.00709 |
| Sonnet 5 | $0.00283 | $0.00283 |
| Haiku 4.5 | $0.00142 | $0.00142 |
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 12d 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.
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?
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.
- 12d ago First seen · 203 lines · 1,417 tokens per session scan A cb2735fe8a9d
ai-automation-n8n CLAUDE.md is an instructions file published in the GitHub repository qwedsazxc78/ai-automation-n8n (150 stars, last pushed 5mo ago), licensed MIT. It adds 1,417 tokens to every session, about $0.0071 per session on Opus 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.
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