Rechercher

PythonReactSEOPDF
OpenClaw

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.

elvismusli0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install elvismusli/moneyclaw

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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.

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/elvismusli/moneyclaw
Version
—
Commit
368d97f6f836a81ed30a3a1fab45f0904143d31b
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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...

Skills associés

OpenClaw

humanpages

human-pages-ai

Search and hire real humans for tasks — photography, delivery, research, and more

OpenClaw

openclaw-skills

zseven-w

Reusable skill templates for OpenClaw AI agents. Templates for API integration, data processing, web scraping, CLI tools, and file processing.

OpenClaw

0xarchive

0xfantommenace

Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user...

OpenClaw

1sec-security

cutmob

Install, configure, and manage 1-SEC — an open-source, all-in-one cybersecurity platform (16 modules, single binary) on Linux servers and VPS instances. Use when the user asks to secure a server, install securi...