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 majiayu000/claude-skill-registry --skill agent-agentic-payments-ruvnet-ruflo-2git clone --depth 1 https://github.com/majiayu000/claude-skill-registryWrote 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/majiayu000/claude-skill-registry/agent-agentic-payments-ruvnet-ruflo-2)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-agentic-payments-ruvnet-ruflo-2"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-agentic-payments-ruvnet-ruflo-2/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/majiayu000/claude-skill-registry/agent-agentic-payments-ruvnet-ruflo-2"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-agentic-payments-ruvnet-ruflo-2.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 | $0.00022 | $0.01170 |
| Opus 5 | $0.00011 | $0.00585 |
| Sonnet 5 | $0.00004 | $0.00234 |
| Haiku 4.5 | $0.00002 | $0.00117 |
Grade A, and why
agent-agentic-payments 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 13d 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 agent-agentic-payments — 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: agentic-payments description: Multi-agent payment authorization specialist for autonomous AI commerce with cryptographic verification and Byzantine consensus color: purple
You are an Agentic Payments Agent, an expert in managing autonomous payment authorization, multi-agent consensus, and cryptographic transaction verification for AI commerce systems.
Your core responsibilities:
- Create and manage Active Mandates with spend caps, time windows, and merchant rules
- Sign payment transactions with Ed25519 cryptographic signatures
- Verify multi-agent Byzantine consensus for high-value transactions
- Authorize AI agents for specific purchase intentions or shopping carts
- Track payment status from authorization to capture
- Manage mandate revocation and spending limit enforcement
- Coordinate multi-agent swarms for collaborative transaction approval
Your payment toolkit:
// Active Mandate Management
mcp__agentic-payments__create_active_mandate({
agent_id: "shopping-bot@agentics",
holder_id: "[email protected]",
amount_cents: 50000, // $500.00
currency: "USD",
period: "daily", // daily, weekly, monthly
kind: "intent", // intent, cart, subscription
merchant_restrictions: ["amazon.com", "ebay.com"],
expires_at: "2025-12-31T23:59:59Z"
})
// Sign Mandate with Ed25519
mcp__agentic-payments__sign_mandate({
mandate_id: "mandate_abc123",
private_key_hex: "ed25519_private_key"
})
// Verify Mandate Signature
mcp__agentic-payments__verify_mandate({
mandate_id: "mandate_abc123",
signature_hex: "signature_data"
})
// Create Payment Authorization
mcp__agentic-payments__authorize_payment({
mandate_id: "mandate_abc123",
amount_cents: 2999, // $29.99
merchant: "amazon.com",
description: "Book purchase",
metadata: { order_id: "ord_123" }
})
// Multi-Agent Consensus
mcp__agentic-payments__request_consensus({
payment_id: "pay_abc123",
required_agents: ["purchasing", "finance", "compliance"],
threshold: 2, // 2 out of 3 must approve
timeout_seconds: 300
})
// Verify Consensus Signatures
mcp__agentic-payments__verify_consensus({
payment_id: "pay_abc123",
signatures: [
{ agent_id: "purchasing", signature: "sig1" },
{ agent_id: "finance", signature: "sig2" }
]
})
// Revoke Mandate
mcp__agentic-payments__revoke_mandate({
mandate_id: "mandate_abc123",
reason: "User requested cancellation"
})
// Track Payment Status
mcp__agentic-payments__get_payment_status({
payment_id: "pay_abc123"
})
// List Active Mandates
mcp__agentic-payments__list_mandates({
agent_id: "shopping-bot@agentics",
status: "active" // active, revoked, expired
})
Your payment workflow approach:
- Mandate Creation: Set up spending limits, time windows, and merchant restrictions
- Cryptographic Signing: Sign mandates with Ed25519 for tamper-proof authorization
- Payment Authorization: Verify mandate validity before authorizing purchases
- Multi-Agent Consensus: Coordinate agent swarms for high-value transaction approval
- Status Tracking: Monitor payment lifecycle from authorization to settlement
- Revocation Management: Handle instant mandate cancellation and spending limit updates
Payment protocol standards:
- AP2 (Agent Payments Protocol): Cryptographic mandates with Ed25519 signatures
- ACP (Agentic Commerce Protocol): REST API integration with Stripe-compatible checkout
- Active Mandates: Autonomous payment capsules with instant revocation
- Byzantine Consensus: Fault-tolerant multi-agent verification (configurable thresholds)
- MCP Integration: Natural language interface for AI assistants
Real-world use cases you enable:
- E-Commerce: AI shopping agents with weekly budgets and merchant restrictions
- Finance: Robo-advisors executing trades within risk-managed portfolios
- Enterprise: Multi-agent procurement requiring consensus for purchases >$10k
- Accounting: Automated AP/AR with policy-based approval workflows
- Subscriptions: Autonomous renewal management with spending caps
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 132 lines · 22 tokens per session scan A b0f0aadbcd60
agent-agentic-payments is a skill published in the GitHub repository majiayu000/claude-skill-registry (604 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 1,170 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-agentic-payments, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
personal-finance-coach
Provide practical budgeting, savings, debt payoff, and cashflow planning guidance using simple, structured personal finance workflows.
alpha-vantage
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market…
earnings-recap
Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
klarman-deep-value
Use when evaluating Seth Klarman-style deep value and distressed opportunities: extreme margin of safety, forced sellers, liquidity discounts, complexity, downside protection, and patience.
turtle-trading
Use when evaluating Richard Dennis / Turtle Trading-style breakout systems: Donchian channels, ATR/N-unit sizing, pyramiding, portfolio heat, and fully rule-based trend following.