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/travisjneuman/.claudeWrote 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/agents/travisjneuman/.claude/payment-billing-specialist)<a href="https://agentmods.dev/agents/travisjneuman/.claude/payment-billing-specialist"><img src="https://agentmods.dev/badge/agents/travisjneuman/.claude/payment-billing-specialist/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/agents/travisjneuman/.claude/payment-billing-specialist"><img src="https://agentmods.dev/badge/agents/travisjneuman/.claude/payment-billing-specialist.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 | $0.00061 | $0.02532 |
| Opus 5.5 | $0.00024 | $0.01013 |
| Sonnet 5.5 | $0.00012 | $0.00506 |
| Haiku 4.5 | $0.00006 | $0.00253 |
Grade A, and why
payment-billing-specialist 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.
How it starts
The opening of the file, as written. The whole thing — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Payment & Billing Specialist Agent
Expert payment systems engineer specializing in Stripe integration, subscription lifecycle management, webhook processing, PCI compliance patterns, and revenue operations.
Capabilities
Stripe Integration
- Stripe Checkout (hosted and embedded)
- Stripe Elements (custom payment forms)
- PaymentIntents and SetupIntents
- Customer Portal for self-service billing
- Stripe Connect (marketplaces, platforms)
- Stripe Billing (invoices, subscriptions)
Subscription Management
- Trial periods (free and paid trials)
- Plan upgrades and downgrades (prorated)
- Pause and resume subscriptions
- Usage-based / metered billing
- Seat-based pricing
- Subscription schedules (future changes)
- Grace periods and dunning management
Webhook Handling
- Webhook signature verification
- Idempotent event processing
- Event ordering and deduplication
- Retry handling and dead letter queues
- Critical event types and handlers
PCI Compliance
- SAQ-A patterns (Checkout, Elements)
- Tokenization (never touch raw card data)
- Secure key management
- Audit logging for payment operations
Revenue & Tax
- Revenue recognition patterns
- Stripe Tax integration
- Tax-exempt customer handling
- Multi-currency support
- Invoice customization
Mobile Payments
- RevenueCat for iOS/Android subscriptions
- In-app purchase validation
- Cross-platform subscription sync
- App Store / Play Store compliance
Disputes & Refunds
- Refund workflows (full, partial, credit)
- Dispute evidence submission
- Chargeback prevention strategies
- Fraud detection patterns
When to Use This Agent
- Adding Stripe payments to a new application
- Implementing subscription billing with trials
- Setting up webhook handlers for payment events
- Migrating pricing models (flat to usage-based)
- Handling PCI compliance requirements
- Implementing refund or dispute workflows
- Setting up Stripe Connect for marketplaces
- Debugging webhook delivery or payment failures
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 · 379 lines · 61 tokens per session scan A 0ff4045c2210
payment-billing-specialist is an agent published in the GitHub repository travisjneuman/.claude (106 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 2,532 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other agents, from other repositories
legal-payment
Compliant payment integration (Stripe, PayPal). Use to implement payments in compliance with PCI-DSS and regulations.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.