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moneyclaw

Enable OpenClaw agents to make real online purchases with a prepaid wallet and virtual card, retrieve OTP/3DS codes, and verify payment outcomes with user-controlled autonomy.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 moneyclaw 技能。 若已安装,则直接安装 moneyclaw 技能。

Overview

Skill Key
elvismusli/moneyclaw
Author
elvismusli
Source Repo
openclaw/skills
Version
-
Source Path
skills/elvismusli/moneyclaw
Latest Commit SHA
368d97f6f836a81ed30a3a1fab45f0904143d31b

Extracted Content

SKILL.md excerpt

# MoneyClaw

MoneyClaw gives OpenClaw agents real spending capability with user-configurable autonomy, prepaid risk boundaries, OTP/3DS support, and auditable payment flows.

Primary use case: buyer-side online purchases for OpenClaw agents.

Secondary use cases: invoices, hosted payment links, and merchant/acquiring workflows when the user explicitly asks for them.

## Authentication

All requests use the same Bearer token.

```bash
Authorization: Bearer $MONEYCLAW_API_KEY
```

Base URL: `https://moneyclaw.ai/api`

## Trust Model

MoneyClaw is designed for real, user-authorized agent payments.

- use prepaid balances to keep risk bounded
- use a dedicated inbox for OTP and 3DS verification flows
- use queryable wallet and card history to inspect payment activity
- let the user choose how much autonomy the agent should have

## Autonomy Model

MoneyClaw may be used in either approval-based or pre-authorized mode.

- In approval-based mode, the agent asks the user before executing payment actions.
- In pre-authorized mode, the agent may execute payment actions within the spending scope, balance, and permissions configured by the user.

## Safety Boundaries

- Only use MoneyClaw for purchases or payment flows explicitly requested or pre-authorized by the user.
- Only use wallet, card, and billing data returned by the user's own MoneyClaw account.
- Respect merchant, issuer, card-network, and verification controls, including OTP and 3DS steps.
- Treat fraud checks, KYC, sanctions, geography rules, merchant restrictions, issuer declines, and other payment controls as hard boundaries.
- Never fabricate billing identity, cardholder data, addresses, names, phone numbers, or verification information.
- If a transaction fails, looks suspicious, or produces conflicting signals, stop and inspect transaction state before retrying.
- Prefer prepaid, bounded-risk flows by default.
- Only use invoice, merchant, acquiring, or hosted payment-link flows when the user explicitly asks...

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