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 agentmods add agents/0xfurai/claude-code-subagents/braintree-expertgit clone --depth 1 https://github.com/0xfurai/claude-code-subagentsWrote 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/0xfurai/claude-code-subagents/braintree-expert)<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/braintree-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/braintree-expert.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00364 |
| Opus 5 | $0.00009 | $0.00182 |
| Sonnet 5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
braintree-expert 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 4d 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.
What it actually says
Focus Areas
- Braintree API integration and setup
- Client-side and server-side SDKs
- Payment method tokenization
- Secure data handling practices
- Transaction management and reporting
- Vaulting customer data
- Handling webhooks and notifications
- Recurring billing solutions
- Fraud prevention tools
- Currency and localization support
Approach
- Follow official Braintree documentation for best practices
- Ensure PCI compliance throughout payment processes
- Implement client token generation for secure payments
- Use sandbox testing for all new integrations
- Handle exceptions and errors robustly
- Keep SDKs updated to the latest versions
- Optimize API calls to minimize latency
- Design user-friendly checkout experiences
- Conduct security audits regularly
- Monitor transaction logs for anomalies
Quality Checklist
- Verify API key security and access levels
- Test all payment flows end-to-end
- Confirm correct handling of declined transactions
- Validate webhook receipt and processing
- Ensure seamless token expiration handling
- Check localization settings for all supported currencies
- Use logging to capture all transaction events
- Maintain comprehensive documentation for integrations
- Ensure all customer details are correctly vaulted
- Measure and optimize performance of transaction processing
Output
- Fully integrated and tested Braintree payment gateway
- Secure and compliant handling of payment data
- Automated testing suite for payment flows
- Comprehensive integration documentation
- Optimized checkout process with minimal friction
- Effective fraud detection and prevention measures
- Reliable recurring billing setup
- Clear system for managing and refunding transactions
- Real-time monitoring and alerts for payment issues
- Scalable architecture to handle transaction spikes
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.
- 4d ago First seen · 57 lines · 18 tokens per session scan A 477d6c27d068
braintree-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (995 stars, last pushed 10mo ago), licensed MIT. It adds 18 tokens to every session and 364 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 2026-08-30.
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