init

A guided setup command for turning a Tauri React template into a named desktop application. Tauri is a framework for building desktop apps with a web interface and a Rust backend.

In plain words
What is it for?
Use it after deciding an app's name and purpose to update its package metadata, interface title, README, Rust configuration, application identifier, and updater settings.
Why use it?
It removes the repetitive work of replacing template names, descriptions, identifiers, publisher details, and update settings across project files.

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/coollabsio/jean/init
Clone the repo
git clone --depth 1 https://github.com/coollabsio/jean

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 533 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 $0.00000 $0.00533
Opus 5 $0.00000 $0.00267
Sonnet 5 $0.00000 $0.00107
Haiku 4.5 $0.00000 $0.00053

Measured 2d ago against content hash bb71a91ee56c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

init 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.

.claude/commands/init.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are helping a user initialize their Tauri React template for their specific application. Follow these steps exactly:

Step 1: Collect Information

Ask the user for:

  1. App Name: What is the name of their application?
  2. App Description: What does their app do? (Ask for 1-2 sentences)

Step 2: Process and Update Files

After receiving their input:

  1. Reword the description to be coherent and professional
  2. Get GitHub username using gh api user --jq .login or git config user.name
  3. Update package.json with proper name and description
  4. Update src/index.html title tag
  5. Update CLAUDE.md to include the title and description in the overview section
  6. Update README.md to replace "Tauri React Template" with their app name and update the description
  7. Update src-tauri/tauri.conf.json:
    • Set productName to their app name
    • Set identifier to com.${githubUsername}.${kebab-case-app-name}
    • Set window title to their app name
    • Update bundle shortDescription and longDescription
    • Update bundle publisher and copyright with GitHub username
    • Update updater endpoint to use their GitHub username and repo name
  8. Update src-tauri/Cargo.toml:
    • Set package name to kebab-case app name
    • Set package description to their description
    • Update authors with GitHub username
  9. Update .github/workflows/release.yml:
    • Update workflow name to use their app name
    • Update release name and body to use their app name
  10. Create CLAUDE.local.md with the specified content

Step 3: Run Quality Checks

Execute these commands in order:

  1. bun install
  2. bun run check:all

Step 4: Final Instructions

Explain to the user:

  • What you've updated
  • They need to add their Tauri updater public key to tauri.conf.json
  • They need to add TAURI_SIGNING_PRIVATE_KEY and TAURI_SIGNING_PRIVATE_KEY_PASSWORD to GitHub Actions secrets
  • How to generate the Tauri updater keypair if needed

Read the full file on GitHub · 53 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 · 53 lines · 0 tokens per session scan A bb71a91ee56c

Subscribe to this mod's changes

init is a command published in the GitHub repository coollabsio/jean (1,250 stars, last pushed 7d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 533 tokens. 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.