setup

setup is a command for Claude Code from stepolan/marketing-repo-template. It costs 12 tokens per session (782 once invoked), scanned A, original, MIT.

An interactive first-run setup command that replaces example company and author details with the user's real information.

In plain words
What is it for?
Use it to enter the company name, description, and authors, then update matching company references, voice guidelines, and author files.
Why use it?
It removes placeholder content from a repository and makes the project ready for the actual team and company.

Command for Claude Code

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 commands/stepolan/marketing-repo-template/setup
Clone the repo
git clone --depth 1 https://github.com/stepolan/marketing-repo-template

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.

agentmods badge for setup

README.md
[![agentmods](https://agentmods.dev/badge/commands/stepolan/marketing-repo-template/setup.svg)](https://agentmods.dev/commands/stepolan/marketing-repo-template/setup)
Your own site
<a href="https://agentmods.dev/commands/stepolan/marketing-repo-template/setup"><img src="https://agentmods.dev/badge/commands/stepolan/marketing-repo-template/setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 782 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00012 $0.00782
Opus 5 $0.00006 $0.00391
Sonnet 5 $0.00002 $0.00156
Haiku 4.5 $0.00001 $0.00078

Measured 5d ago against content hash 6f77a8e4c00c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

setup 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 5d 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/commands/setup.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Walk the user through initial repo setup. This replaces the fictional Summit Fuel company and placeholder authors with their real company and team.

Execute the following steps interactively — ask questions and wait for answers before proceeding.

Step 1: Gather information

Ask the user for:

  1. Company name — What is your company called?
  2. One-line company description — What does the company do? (e.g. "a sports nutrition company for endurance athletes")
  3. Authors — Who will be writing content? For each author, ask:
    • Name (first name or handle they publish under)
    • Title (e.g. "Co-Founder and CEO", "Head of Marketing")
    • One-sentence bio

Wait for all answers before proceeding.

Step 2: Replace the company

Find and replace across the entire repo:

  • "Summit Fuel" → their company name
  • "a sports nutrition company for endurance athletes" → their company description (in voice-guidelines.md and author-bios.md)
  • Update brand/voice-guidelines.md — keep the structure and rules, replace Summit Fuel references
  • Update CLAUDE.md — replace any Summit Fuel references

Step 3: Set up authors

For each author the user listed:

  1. Rename an existing author directory. Map the first author to caesar/, the second to zira/. If they have more than two authors, create new directories following the same structure.
  2. Update brand/author-bios.md with the real names, titles, and bios
  3. Update the voice profile at authors/<name>/voice/voice-profile.md — replace the fictional author name but keep the template structure and "Status: Template — customize for your author" note. The user will run /extract-voice next to fill it in properly.
  4. Create the full directory structure for each author:
    • authors/<name>/samples/ with the README.md explaining what to put there
    • authors/<name>/drafts/linkedin/
    • authors/<name>/posted/linkedin/
    • authors/<name>/ideas/
    • authors/<name>/voice/voice-profile.md

If there are fewer than two authors, delete the unused author directory entirely.

Read the full file on GitHub · 78 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. 5d ago First seen · 78 lines · 12 tokens per session scan A 6f77a8e4c00c

Subscribe to this mod's changes

setup is a command published in the GitHub repository stepolan/marketing-repo-template (2 stars, last pushed 4mo ago), licensed MIT. It adds 12 tokens to every session and 782 once invoked, about $0.0001 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.