coolify-ai-docs

A directory guide for Coolify's AI documentation. It points coding agents to instructions about the project's technology, architecture, development process, deployment, testing, database, frontend, and security practices.

In plain words
What is it for?
Use it to find the right instructions when changing Coolify's backend, frontend, deployment setup, tests, database code, or security-related code.
Why use it?
It prevents agents from searching through scattered guidance or relying on outdated assumptions. It identifies the main documentation sources for different kinds of work.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/coollabsio/coolify/coolify-ai-docs
Clone the repo
git clone --depth 1 https://github.com/coollabsio/coolify

Made for: Cursor.

Per session 1,426 This file is loaded in full into every session.
When invoked 1,426 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.01426 $0.01426
Opus 5 $0.00713 $0.00713
Sonnet 5 $0.00285 $0.00285
Haiku 4.5 $0.00143 $0.00143

Measured 2d ago against content hash 19820aeb3085, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

coolify-ai-docs 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 2d 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.

.cursor/rules/coolify-ai-docs.mdc · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coolify AI Documentation

All Coolify AI documentation has been consolidated in the .ai/ directory for better organization and single source of truth.

Quick Start

  • For Claude Code: Start with CLAUDE.md in the root directory
  • For Cursor IDE: Start with .ai/README.md for navigation
  • For All AI Tools: Browse .ai/ directory by topic

Documentation Structure

All detailed documentation lives in .ai/ with the following organization:

📚 Core Documentation

💻 Development

🎨 Code Patterns

📖 Meta

Quick Decision Tree

What are you working on?

Read the full file on GitHub · 157 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.

  1. 2d ago First seen · 157 lines · 1,426 tokens per session scan A 19820aeb3085

Subscribe to this mod's changes

coolify-ai-docs is a cursor rule published in the GitHub repository coollabsio/coolify (61,297 stars, last pushed today), licensed Apache-2.0. It adds 1,426 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.