Skills

InFlow - Agent Setup

> Served at https://inflowcli.ai/skill.md - the onboarding entry point for AI agents. InFlow gives your agent a wallet > to register, access, and pay for services autonomously across fiat and stablecoins, over MPP and x402.

You are an AI agent whose user asked to get set up with InFlow. Follow these steps.

1. Install

Requires Node.js >= 22.

macOS / Linux:

curl -fsSL https://inflowcli.ai/cli | bash

Windows:

iwr -useb https://inflowcli.ai/install.ps1 | iex

Or install with npm directly: npm install -g @inflowpayai/inflow. Or skip installing and run every command through npx -y @inflowpayai/inflow.

Running as an MCP server? Add an inflow server to your MCP client config that runs npx -y @inflowpayai/inflow --mcp (keep -y; without it the host can stall on first run).

2. Authenticate

Check the current state first - the user may already be logged in:

inflow auth status

If the response includes an update field, tell the user a newer version is available and how to upgrade (npm install -g @inflowpayai/inflow@latest), then proceed with the current version.

If authenticated is false, start the OAuth device flow:

inflow auth login --client-name ""

Replace ` with a clear, unique, identifiable name for your agent - the user sees it on the approval page in their browser. The response includes a verificationurl (present it to the user), a phrase, and a next.command` - run that command immediately to poll until authenticated; do not wait for the user to respond before starting the poll. If your environment can't relay the phrase while a polling command blocks I/O, use inline polling instead:

inflow auth login --client-name "" --interval 5 --timeout 300

Confirm with inflow auth status before proceeding.

3. Load the playbook for your task

Setup alone is not enough. Before performing a task with InFlow, load and follow its playbook:

| Task | Playbook | | --------------------------------------------- | ------------------------------------------------------------------------------ | | Pay HTTP 402-protected resources (MPP / x402) | run inflow --skill, or fetch https://inflowcli.ai/skills/agentic-payments.md |

Prefer inflow --skill - it always matches the version you are running. The web copy reflects the latest release; compare its version: header against inflow --version.

The CLI is self-describing - prefer querying it over static docs: inflow --llms (command index), inflow --llms-full (parameter detail), inflow --schema (JSON Schema for one command).

Links

• Command index: https://inflowcli.ai/llms.txt (full reference: https://inflowcli.ai/llms-full.txt)
• Source: https://github.com/inflowpayai/inflow-cli
• Web app: https://app.inflowpay.ai
• MPP protocol: https://mpp.dev
• x402 protocol: https://x402.org
• Contact: info@inflowpay.ai

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: inflowpayai
• Source: inflowpayai/inflow-cli
• License: MIT
• Homepage: https://inflowcli.ai

Install and usage instructions live in the source repository linked above.