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.
git clone --depth 1 https://github.com/dominodatalab/domino-claude-pluginWrote 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/commands/dominodatalab/domino-claude-plugin/domino-app-init)<a href="https://agentmods.dev/commands/dominodatalab/domino-claude-plugin/domino-app-init"><img src="https://agentmods.dev/badge/commands/dominodatalab/domino-claude-plugin/domino-app-init/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.
<a href="https://agentmods.dev/commands/dominodatalab/domino-claude-plugin/domino-app-init"><img src="https://agentmods.dev/badge/commands/dominodatalab/domino-claude-plugin/domino-app-init.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00030 | $0.00871 |
| Opus 5 | $0.00015 | $0.00436 |
| Sonnet 5 | $0.00006 | $0.00174 |
| Haiku 4.5 | $0.00003 | $0.00087 |
Grade A, and why
domino-app-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 13d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/domino-app-init Command
Initialize a Domino-ready web application with the correct configuration for Domino's reverse proxy.
Usage
/domino-app-init [framework]
Supported Frameworks
reactorvite-react- React application with Vite (default)streamlit- Streamlit applicationdash- Plotly Dash applicationflask- Flask applicationgradio- Gradio application
What This Command Does
- Detects or asks for framework choice
- Creates app.sh - Entry point script for Domino
- Configures port binding - Uses port 8888 by default (flexible)
- Sets up proxy-compatible settings - For React:
base: './' - Creates .env.example - Template for environment variables
- Adds Model API integration - Code for calling model endpoints
React/Vite Output
vite.config.js
import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
export default defineConfig({
plugins: [react()],
base: './',
server: { host: '0.0.0.0', port: 8888, strictPort: true },
preview: { host: '0.0.0.0', port: 8888, strictPort: true },
build: { outDir: 'dist', assetsDir: 'assets' }
})
app.sh
#!/bin/bash
set -e
cd /mnt/code
npm ci
npm run build
npx serve -s dist -l 8888 --no-clipboard
.env.example
VITE_MODEL_API_URL=https://your-domino.com/models/MODEL_ID/latest/model
VITE_MODEL_API_TOKEN=your_api_token
Streamlit Output
app.sh
#!/bin/bash
set -e
streamlit run app.py \
--server.port 8888 \
--server.address 0.0.0.0 \
--server.headless true
Dash Output
app.py (with Domino configuration)
import os
from dash import Dash, html
app = Dash(__name__)
app.layout = html.Div([html.H1("Domino Dash App")])
if __name__ == '__main__':
app.run_server(host='0.0.0.0', port=8888, debug=False)
app.sh
#!/bin/bash
set -e
python app.py
Flask Output
app.py (with Domino configuration)
import os
from flask import Flask
app = Flask(__name__)
@app.route('/')
def index():
return "Domino Flask App"
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8888, debug=False)
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.
- 13d ago First seen · 151 lines · 30 tokens per session scan A 03152b165ae8
domino-app-init is a command published in the GitHub repository dominodatalab/domino-claude-plugin (7 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 871 once invoked, about $0.0002 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.
Other commands, from other repositories
harden
Add loading/error/empty states, mounted guards, disposal, null safety tightening. Makes screens production-ready.
add-api-route
Scaffold a new React Router route with loader/action, authentication, validation, and tenant scoping.
scaffold-fullstack
Initialize a new fullstack Go + React project with standard directory structure, configs, and Docker Compose.
create-ai-app
Create a Full Stack AI application with FastAPI backend and React + ShadCN frontend.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.