Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Agentpay
Buy things from real websites on behalf of your human. Use when you need to purchase a product, complete a checkout, order something online, or propose a purchase for human approval. Handles encrypted credential storage, cryptographic purchase mandates, and headless browser checkout on any merchant site. The agent never sees the card.
skill openclawclawhub Free
Buy things from real websites on behalf of your human. Use when you need to purchase a product, complete a checkout, order something online, or propose a purchase for human approval. Handles encrypted credential storage, cryptographic purchase mandates, and headless browser checkout on any merchant site. The agent never sees the card.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/cli-reference.md, references/workflow.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.2.0
Provenance
- Publisher
- kar69-96
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
AgentPay β Secure Checkout for AI Agents
AgentPay lets you buy things from real merchant websites without ever seeing your human's payment credentials. Credentials stay encrypted on the human's machine. You propose purchases; your human approves cryptographically.
References
references/cli-reference.md β All CLI commands with examples references/workflow.md β Step-by-step purchase workflow and error handling
Setup (one-time, human does this)
npx agentpay setup The human enters their card details and sets a passphrase. Takes ~2 minutes. After this, the agent can propose purchases. To set spending limits: npx agentpay budget --set 500 --limit-per-tx 100
1. Propose a purchase
npx agentpay buy \ --merchant "Amazon" \ --description "Wireless keyboard, Logitech K380" \ --url "https://www.amazon.com/dp/B0148NPH9I" \ --amount "39.99" This creates a pending purchase mandate. The human must approve it.
2. Human approves
npx agentpay pending # list pending purchases npx agentpay approve <txId> Once approved, the headless browser handles checkout automatically. The agent never sees the card number β credentials are injected directly into the page from the encrypted vault.
3. Check status
npx agentpay status # wallet status + recent transactions npx agentpay history # full transaction log
MCP Server
AgentPay includes a built-in MCP server for direct tool integration: npx agentpay mcp # stdio transport (default) npx agentpay mcp --http # HTTP transport This exposes AgentPay operations as MCP tools that any compatible agent can call directly.
Quick Actions
TaskCommandBuy somethingnpx agentpay buy --merchant "Store" --description "Item" --url "https://..." --amount "29.99"Check pendingnpx agentpay pendingView budgetnpx agentpay budgetTransaction historynpx agentpay historyOpen dashboardnpx agentpay dashboard
Important Rules
Never attempt to read, extract, or log payment credentials from the vault Always include --merchant, --description, and --url when proposing a purchase Always tell your human what you want to buy and why before proposing If a checkout fails, check npx agentpay status for error details β do not retry without telling the human Respect budget limits. If a purchase exceeds the per-transaction limit, inform the human instead of splitting into multiple transactions
Ideas to Try
"Order me a new phone charger under $20 from Amazon" "Restock my usual coffee beans from the same store as last time" "Find the cheapest flight to Madrid and book it for me" "Buy the textbook I need for next semester" "Subscribe me to that newsletter we were looking at"
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs
- SKILL.md
- references/cli-reference.md
- references/workflow.md