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 agentmods add instructions/jurislm/coolify-mcp/copilot-instructionsgit clone --depth 1 https://github.com/jurislm/coolify-mcpWrote 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/jurislm/coolify-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/jurislm/coolify-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jurislm/coolify-mcp/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00747 | $0.00747 |
| Opus 5 | $0.00374 | $0.00374 |
| Sonnet 5 | $0.00149 | $0.00149 |
| Haiku 4.5 | $0.00075 | $0.00075 |
Grade A, and why
coolify-mcp copilot-instructions.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 3d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Instructions for coolify-mcp
Project Overview
@jurislm/coolify-mcp is a TypeScript MCP (Model Context Protocol) server that wraps the Coolify REST API into 43 tools for AI assistants. Published to npm.
Git Workflow
- Development branch:
develop— all feature work happens here - Release branch:
main— receives changes via squash merge fromdevelop - Consequence: A PR from
developtomainwill show a large diff including all accumulated commits since the last squash merge. This does NOT mean those changes are new — they may already be live on npm via a previous release. - Versioning: Managed by Release Please. Do NOT suggest manual version bumps. Release Please reads conventional commits and determines the correct semver automatically.
Version Numbers
- Do not suggest changing
versioninpackage.jsonin PRs. Version bumps are handled exclusively by Release Please when PRs merge tomain. - When reviewing a
develop → mainPR, the version shown in the diff may already be published. Check the git tag history or npm registry before commenting on version numbers. - Existing published versions: check
https://registry.npmjs.org/@jurislm/coolify-mcpfor the currentlatest.
Build & Test
bun install # install dependencies
bun run build # compile TypeScript -> dist/
bun run test # run Jest tests (excludes integration/)
bun run lint # ESLint
bun run format:check # Prettier check
Project Structure
src/lib/coolify-client.ts— HTTP client wrapping Coolify REST APIsrc/lib/mcp-server.ts— MCP tool definitions and handlerssrc/types/coolify.ts— TypeScript type definitions (public API)src/index.ts— Entry pointsrc/__tests__/— Jest tests (mocked, no live server required)src/__tests__/integration/— Integration tests (require live Coolify instance)dist/— Compiled output (auto-generated, not reviewed).worktrees/— Git worktrees for parallel branch development (not source code)
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.
- 3d ago First seen · 63 lines · 747 tokens per session scan A 2999f7e4b33f
coolify-mcp copilot-instructions.md is an instructions file published in the GitHub repository jurislm/coolify-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 747 tokens to every session, about $0.0037 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 2026-08-31.
Other instructions, from other repositories
coolify-mcp CLAUDE.md
Claude Code instructions for StuMason/coolify-mcp, covering claude.md, project overview, commands, run locally and evals & red teaming (evals/).
clum AGENTS.md
Instructions for tddh/clum, covering clum 项目开发规则, mcp 工具使用规则（最高优先级）, 开发规范, 项目结构 and 常用命令.
aiops-mcp AGENTS.md
AGENTS.md instructions for rmednitzer/aiops-mcp, covering agents.md, one-line, repo map, hard rules and build and test.
ssh-mcp-pro AGENTS.md
AGENTS.md instructions for oaslananka/ssh-mcp-pro, covering agents.md - ssh-mcp-pro, quick start, secure defaults, recommended workflow and explain mode.
aiops-mcp CLAUDE.md
Claude Code instructions for rmednitzer/aiops-mcp, covering claude.md, what this is, the nine invariants (do not weaken; each has a test), core behavior expectations and required development loop.
llm-context.py CLAUDE.md
Instructions for cyberchitta/llm-context.py, covering claude.md, working notes (gitignored) and draining the field notes.