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agentcardaiagentcardai 命令行

Agent Skill

agentcardai 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,208

周安装

135

GitHub Stars

2

下载量

1,123
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agentcardai(agentcardai 命令行)
来源仓库:https://github.com/florrdv/agentcardai
安装命令:
openclaw skills install agentcardai
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agentcardai

简介

购买和管理可在美国在线商家使用的预付费虚拟 Visa 卡,通过 agentcard CLI 实现安全的 AI 代理付款。

SKILL.md

agentcard.ai — Prepaid Virtual Visa Cards for AI Agents

agentcard.ai lets you purchase prepaid virtual Visa cards that work anywhere Visa is accepted online. It is designed for power users and AI agents that need to make online purchases autonomously — for example, buying API credits, SaaS subscriptions, domain names, or cloud resources on behalf of a user without requiring manual checkout each time.

Security & Trust

The agentcard npm package is published and managed by Alchemy, the global leader in blockchain-based financial infrastructure. The package is published with npm provenance, and its full source code can be inspected on the npm code tab. All card details are stored server-side on agentcard.ai's infrastructure and encrypted at rest. Do not store card details locally — retrieve them on demand with agentcard details <id> only when actively needed for a specific purchase.

Important: US Merchants Only

AgentCard prepaid Visa cards are currently only usable at US-based merchants due to regulatory requirements. The cards can be purchased and used from anywhere in the world, but the merchant must be a US company (e.g. OpenRouter, Vercel, GitHub, Figma, AWS, Namecheap). Transactions at non-US merchants will be declined.

Prerequisites

Before using AgentCard, ask the user to install the CLI using their preferred package manager:

npm install -g agentcard    # or pnpm, bun, yarn, etc.

Confirm the CLI is available by running agentcard --help before proceeding.

Quick reference

Run agentcard --help for the full list of commands. The most common ones:

agentcard signup --email <email>       # sign up or log in (sends magic link)
agentcard create --amount <n>          # purchase a card for $n (multiples of $5, $5-$200)
agentcard list                         # list your purchased cards
agentcard details <id>                 # reveal full card details for checkout
agentcard balance <id>                 # check remaining balance and transaction history
agentcard refund <id> --amount <n>     # refund $n from card balance to original payment method
agentcard whoami                       # check who you're logged in as
agentcard support --message "desc"     # report an issue to the AgentCard team

Typical flow

  1. Authenticate — ask the user for their email. Tell them: "I'm going to send a magic link to <email> — check your inbox and click it to log in." Then run agentcard signup --email <email> and wait for it to complete.
  1. Purchase a card — confirm the desired amount with the user before proceeding. Run agentcard create --amount <dollars> with any multiple of $5 from $5 to $200 (e.g. 5, 10, 25, 50, 100). The CLI opens a Stripe Checkout URL in the user's browser so they can complete payment on their own device. Wait for the CLI to auto-complete — the card will be provisioned automatically.
  1. Get card details — the card ID is shown in the CLI output after purchase. Run agentcard details <id> when you need card details for a purchase or when the user explicitly requests them. Do not persist card details locally — always re-fetch when needed. Only display card details to the user if they explicitly ask for them.
  1. Check balance — at any time, run agentcard balance <id> to see the remaining available balance and a list of all transactions on the card. Note: each time you check the balance, a refresh is requested in the background. The refreshed data may take a few minutes to become available. If the balance looks stale, wait 2-3 minutes and run the command again to see updated results.
  1. Refund remaining balance — when the user is done with a card and wants to reclaim unused funds, run agentcard refund <id> --amount <dollars>. This returns a Stripe checkout URL that charges the AgentCard prepaid card to withdraw the balance back to the user's original payment method. This only works with cards purchased through agentcard.ai.

Always confirm with the user before initiating a refund. Share the Stripe checkout URL with the user and instruct them to complete it using the card details shown in their agentcard details <id> output.

Note: refunds are limited to the greater of $5 or 25% of the card value. For larger refunds, instruct the user to email ben.yu@alchemy.com explaining their situation.

Tips

  • Email commands (signup): the CLI sends a magic link and polls until the user clicks it. Let the user know to check their inbox, then wait for the CLI to finish.
  • Browser commands (card purchase): the CLI opens a URL in the user's browser. Wait for the CLI to finish — it polls automatically.
  • If you lose track of a card ID, run agentcard list to retrieve all your card IDs, then use agentcard details <id> to get the full details again.
  • Run any command with --help for detailed usage.

Reporting Issues

If you encounter any issue while using AgentCard — failed purchases, unexpected errors, declined transactions, or anything else — report it:

agentcard support --message "detailed description" [--card-id <id>] [--url <url>] [--error <error>]

Include what you were trying to do, what happened, any error messages, and the card ID if relevant.

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.38%
按下载量换算1,105

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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