engine-setup

engine-setup is a skill for Claude Code, Codex from benyki/gtm-engine. It costs 130 tokens per session (5,998 once invoked), scanned A, original, MIT.

A setup process for installing a marketing-engine toolkit and creating its working folders. It separates the toolkit's code, the user's brand and account information, and the individual engines used for different jobs.

In plain words
What is it for?
Use it to install the toolkit, create a shared marketing workspace, add engine folders, connect selected skills to coding tools, and check or repeat the setup.
Why use it?
It turns an unconfigured computer into a reusable workspace and keeps personal settings separate from toolkit updates.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions Claude Code.

Good fit Use it to install the toolkit, create a shared marketing workspace, add engine folders, connect selected skills to coding tools, and check or repeat the setup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/benyki/gtm-engine/engine-setup
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.

Any agent
npx skills add benyki/gtm-engine --skill engine-setup
Clone the repo
git clone --depth 1 https://github.com/benyki/gtm-engine

Made for: Claude Code, Codex.

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.

agentmods badge for engine-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/benyki/gtm-engine/engine-setup/github.svg)](https://agentmods.dev/skills/benyki/gtm-engine/engine-setup)
Your own site
<a href="https://agentmods.dev/skills/benyki/gtm-engine/engine-setup"><img src="https://agentmods.dev/badge/skills/benyki/gtm-engine/engine-setup/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.

agentmods 80×15 button for engine-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/benyki/gtm-engine/engine-setup"><img src="https://agentmods.dev/badge/skills/benyki/gtm-engine/engine-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,998 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00130 $0.05998
Opus 5.5 $0.00052 $0.02399
Sonnet 5.5 $0.00026 $0.01200
Haiku 4.5 $0.00013 $0.00600

Measured 2mo ago against content hash edf03a64f2d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engine-setup scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/doctor.py, scripts/engines.py, scripts/install_skills.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**If they already ran the one-command installer** (`curl -fsSL
skills/engine-setup/SKILL.md · 447 lines

How it starts

The opening of the file, as written. The whole thing — 447 lines — stays where its author put it; the contents beside it link to each section on GitHub.

engine-setup

Gets someone from nothing to a working home.

Run it once per project. It is also re-runnable, and doctor.py is there as an optional health check when something looks wrong — never a step to clear before work can start.

Paths in this file: shared/… means the gtm home (~/gtm by default, or $GTM_HOME); templates/, inputs/, runs/ and reports/ mean the engine folder you're running, wherever it lives. The scripts resolve both through ~/gtm/engines.json, so read them as names rather than literal paths.

Read the onboarding script first

docs/onboarding.md in the repo is the script for the conversation: what to warn about, what to offer, which question to ask and in what order. Read it before you touch their disk. This file is the mechanics.

What you're building

Three separate things, and keeping them separate is the point:

  • The clone (~/.gtm-engine): the engines' logic. One per machine, updated by git pull. Nothing personal in it, nothing to gitignore in anyone's project.
  • The home (~/gtm): their brand, accounts, keys, assets, insights, and engines.json. One per person. Never touched by an update.
  • The engines: one self-contained folder per channel. These can live anywhere, and where they go is the one real question of setup.
~/.gtm-engine/               the clone (read-only, git pull)
~/gtm/                       the home
├── AGENTS.md  CLAUDE.md
├── engines.json             the registry: every engine and where it lives
├── shared/                  brand, channels, .env, assets, insights
├── published/
└── engines/                 engines kept in one place, named
                             engine-<type>-<project>/
~/.agents/skills/            the skills themselves (step 4)
~/Desktop/                   two symlinks, so neither is buried (step 5)
├── gtm     ->  ~/gtm
└── skills  ->  ~/.agents/skills

Where the engines live

The default is ~/gtm/engines/, and you ask before using it. Not a required-choices screen: one question, with the answer already suggested.

Read the full file on GitHub · 447 lines

Files

What ships with it

7 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.

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. 2mo ago First seen · 447 lines · 130 tokens per session scan A edf03a64f2d0

Subscribe to this mod's changes

engine-setup is a skill published in the GitHub repository benyki/gtm-engine (4 stars, last pushed 6d ago), licensed MIT. It adds 130 tokens to every session and 5,998 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

engine-setup compared with skills from other repositories

engine-setup next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
engine-setupbenyki/gtm-engineSkill46d agoMITA130Claude Code, Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99ktodayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill314k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code