Braintree Automation

Braintree Automation is a skill for Claude Code, Codex from openteams-lab/openteams. It costs 25 tokens per session (1,823 once invoked), scanned A, original, Apache-2.0.

An integration for managing Braintree payment data through Stripe-compatible tools. Braintree is a payment-processing service used for customers, subscriptions, payment methods, and transactions.

In plain words
What is it for?
It helps create, find, update, and list customers, and manage subscriptions, payment methods, and transactions.
Why use it?
It brings common payment-management tasks into an agent workflow instead of requiring separate manual work in Braintree.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps create, find, update, and list customers, and manage subscriptions, payment methods, and transactions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openteams-lab/openteams/braintree-automation
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 openteams-lab/openteams --skill braintree-automation
Clone the repo
git clone --depth 1 https://github.com/openteams-lab/openteams

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 Braintree Automation

README.md
[![agentmods](https://agentmods.dev/badge/skills/openteams-lab/openteams/braintree-automation/github.svg)](https://agentmods.dev/skills/openteams-lab/openteams/braintree-automation)
Your own site
<a href="https://agentmods.dev/skills/openteams-lab/openteams/braintree-automation"><img src="https://agentmods.dev/badge/skills/openteams-lab/openteams/braintree-automation/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 Braintree Automation

Your own site · 80×15
<a href="https://agentmods.dev/skills/openteams-lab/openteams/braintree-automation"><img src="https://agentmods.dev/badge/skills/openteams-lab/openteams/braintree-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,823 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00025 $0.01823
Opus 5 $0.00013 $0.00911
Sonnet 5 $0.00005 $0.00365
Haiku 4.5 $0.00003 $0.00182

Measured 9d ago against content hash ba95727ed710, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

Braintree Automation 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 9d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

assets/skills/braintree-automation/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Braintree Automation

Automate payment processing operations via Stripe-compatible tooling including managing customers, subscriptions, payment methods, balance transactions, and customer searches. The Composio platform routes Braintree payment workflows through the Stripe toolkit for unified payment management.

Toolkit docs: composio.dev/toolkits/braintree


Setup

This skill requires the Rube MCP server connected at https://rube.app/mcp.

Before executing any tools, ensure an active connection exists for the stripe toolkit. If no connection is active, initiate one via RUBE_MANAGE_CONNECTIONS.


Core Workflows

1. Create and Manage Customers

Create new customers and retrieve existing customer details.

Tools:

  • STRIPE_CREATE_CUSTOMER -- Create a new customer
  • STRIPE_GET_CUSTOMERS_CUSTOMER -- Retrieve a customer by ID
  • STRIPE_POST_CUSTOMERS_CUSTOMER -- Update an existing customer
  • STRIPE_LIST_CUSTOMERS -- List customers with pagination
  • STRIPE_GET_V1_CUSTOMERS_SEARCH_CUSTOMERS -- Search customers by email, name, metadata

Key Parameters for STRIPE_CREATE_CUSTOMER:

  • email -- Customer's primary email address
  • name -- Full name or business name
  • phone -- Phone number with country code
  • description -- Internal reference notes
  • address -- Billing address object with line1, city, state, postal_code, country

Key Parameters for STRIPE_GET_V1_CUSTOMERS_SEARCH_CUSTOMERS:

  • query (required) -- Stripe Search Query Language. Must use field:value syntax:
    • email:'[email protected]' -- Exact match (case insensitive)
    • name~'John' -- Substring match (min 3 chars)
    • metadata['key']:'value' -- Metadata search
    • created>1609459200 -- Timestamp comparison
    • Combine with AND or OR (max 10 clauses, cannot mix)
  • limit -- Results per page (1--100, default 10)

Example:

Tool: STRIPE_CREATE_CUSTOMER
Arguments:
  email: "[email protected]"
  name: "Jane Doe"
  description: "Enterprise plan customer"
  address: {
    "line1": "123 Main St",
    "city": "San Francisco",
    "state": "CA",
    "postal_code": "94105",
    "country": "US"
  }

Read the full file on GitHub · 187 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. 9d ago First seen · 187 lines · 25 tokens per session scan A ba95727ed710

Subscribe to this mod's changes

Braintree Automation is a skill published in the GitHub repository openteams-lab/openteams (612 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 1,823 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 2026-09-03.

Related

Other skills, from other repositories

defi-protocol-templates

Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and flash loans. Use when building decentralized finance applications or smart contract protocols.

wshobson/agents · 38 tokens

nft-standards

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

wshobson/agents · 48 tokens

risk-scoring

Score how concentrated and risky a portfolio is on a 0-100 scale from its position weights. Use when the user asks how risky their portfolio is, whether it is too concentrated, or for a diversification check.

microsoft/agent-framework · 47 tokens

valuation

Estimate whether a stock looks cheap or expensive using a price-to-earnings (P/E) based fair-value method. Use when the user asks if a stock is over- or under-valued, or for a fair-value / target price.

microsoft/agent-framework · 51 tokens

cost-efficiency-analyzer

Analyzes cost structure, cost efficiency, and expense management from P&L data. Use when the user asks about costs, expenses, COGS, operating expenses, cost ratios, cost control, spending efficiency, margin compression from cost side, or wants to understand where money is going. Also use for "are we spending too…

awslabs/agentcore-samples · 98 tokens

executive-financial-briefing

Generates a concise executive-level financial briefing or summary suitable for a CEO, CFO, or board presentation. Use when the user asks for a summary, briefing, executive summary, board update, financial overview, financial health check, or "how is the business doing". Covers the full P&L picture in one page. Also…

awslabs/agentcore-samples · 95 tokens