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.
npx skills add nevergoodstudy-hub/wechat-article-summarizer --skill braintree-automationgit clone --depth 1 https://github.com/nevergoodstudy-hub/wechat-article-summarizerWrote 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/skills/nevergoodstudy-hub/wechat-article-summarizer/braintree-automation)<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/braintree-automation"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/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.
<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/braintree-automation"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/braintree-automation.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 | $0.00025 | $0.01823 |
| Opus 5.5 | $0.00010 | $0.00729 |
| Sonnet 5.5 | $0.00005 | $0.00365 |
| Haiku 4.5 | $0.00003 | $0.00182 |
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 1mo 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.
This is a copy
100% identical to Braintree Automation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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 customerSTRIPE_GET_CUSTOMERS_CUSTOMER-- Retrieve a customer by IDSTRIPE_POST_CUSTOMERS_CUSTOMER-- Update an existing customerSTRIPE_LIST_CUSTOMERS-- List customers with paginationSTRIPE_GET_V1_CUSTOMERS_SEARCH_CUSTOMERS-- Search customers by email, name, metadata
Key Parameters for STRIPE_CREATE_CUSTOMER:
email-- Customer's primary email addressname-- Full name or business namephone-- Phone number with country codedescription-- Internal reference notesaddress-- Billing address object withline1,city,state,postal_code,country
Key Parameters for STRIPE_GET_V1_CUSTOMERS_SEARCH_CUSTOMERS:
query(required) -- Stripe Search Query Language. Must usefield:valuesyntax:email:'[email protected]'-- Exact match (case insensitive)name~'John'-- Substring match (min 3 chars)metadata['key']:'value'-- Metadata searchcreated>1609459200-- Timestamp comparison- Combine with
ANDorOR(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"
}
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.
- 1mo ago First seen · 187 lines · 25 tokens per session scan A ba95727ed710
Braintree Automation is a skill published in the GitHub repository nevergoodstudy-hub/wechat-article-summarizer (5 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 1,823 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to Braintree Automation, differing in 0 lines, and is treated as a copy.
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