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Agent Skill · 开发

agentcardai(agentcardai 命令行)

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。

agentcardai 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 8,360。

总安装 3,208周安装 135GitHub Stars 2下载 1,123核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.8

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

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install agentcardai;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

agentcardai 怎么安装?

在终端执行 openclaw skills install agentcardai。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agentcardai 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agentcardai 需要什么权限?

权限级别是操作浏览器。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。

agentcardai 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

agentcardai 用的人多吗?

公开数据是累计安装 3,208 次,近一周安装 135 次,下载 1,123 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agentcardai 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
agentcardai

agentcardai 命令行 · 本页

3,2082操作浏览器MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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。目前只有一个公开来源,建议同时核对源仓库。

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