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agentmfaagentmfa 开发

Agent Skill

agentmfa 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

3,646

周安装

155

GitHub Stars

公开资料未说明

下载量

1,277
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:agentmfa(agentmfa 开发)
来源仓库:https://github.com/leiarenee/agentmfa
安装命令:
openclaw skills install agentmfa
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 agentmfa

简介

agentmfa 在执行敏感操作前请求生物识别人工批准,确保关键动作可控。

  • 适用于不可逆或高风险操作(如删除、支付、配置变更)的安全防护。
  • 支持多种生物特征验证方式,提升代理操作安全性。
  • 安装命令为 openclaw skills install agentmfa,需设备生物识别接口权限。
  • 注意依赖用户终端硬件支持,移动端与桌面端体验可能存在差异。

SKILL.md

name
agentmfa
description
Request human approval via biometric auth before performing sensitive actions. Use this skill whenever an action is irreversible, destructive, or requires human sign-off (e.g. deleting data, deploying to production, sending emails, making payments).
homepage
https://agentmfa.ai
license
MIT
metadata
openclaw
emoji
🔐
requires
env
bins
primaryEnv
AGENTMFA_API_KEY
install
kind
node
package
@agentmfa/mcp
bins
label
Install AgentMFA MCP server (npm)

AgentMFA Skill

AgentMFA does not execute actions. It pauses your agent and requests biometric approval from the human operator's mobile app. The agent only proceeds — or aborts — based on the human's decision.

Use this skill before performing any sensitive or irreversible action. The human operator will receive a push notification, review the action, and approve or reject it with biometrics.

About AgentMFA

  • Operator: AgentMFA (https://agentmfa.ai)
  • MCP server: Local binary (@agentmfa/mcp) that runs on your machine and makes outbound HTTPS calls to api.agentmfa.ai
  • Auth: Requires AGENTMFA_API_KEY set in your shell environment — obtain from the AgentMFA dashboard after signing up
  • Privacy & security policy: https://agentmfa.ai/privacy
  • Source code: https://github.com/agentmfa/agentmfa-integrations (fully open source — MCP server source is in mcp/)

The MCP server must be configured in your agent runtime before this skill can be used. See the setup instructions at https://github.com/agentmfa/agentmfa-integrations.

For production use, pin the MCP server to a specific version rather than using latest:

npx @agentmfa/mcp@1.0.0

Review the package source at https://github.com/agentmfa/agentmfa-integrations/tree/main/mcp before installing. To verify the binary matches the published source, check the SHA256 hash against checksums.txt in the GitHub release:

sha256sum $(which agentmfa-mcp)

When to Use

  • Deleting or modifying production data
  • Deploying code to production
  • Sending emails or messages on behalf of the user
  • Actions that could result in financial charges or transactions
  • Modifying infrastructure (cloud resources, DNS, etc.)
  • Any action explicitly marked as requiring human approval

How to Use

This skill uses the AgentMFA MCP server tools. The MCP server handles all API communication — your agent code makes only tool calls, no direct HTTP calls. The MCP server requires AGENTMFA_API_KEY to be set in your shell environment.

Standard flow (blocking)

1. Call request_approval(action, context, risk_level)
   → returns { id, status: "pending", expires_at, ... }

2. Call wait_for_approval(request_id: <id from step 1>)
   → blocks until human decides (polls every 3s)
   → returns { status: "approved", code: "..." }
          or { status: "rejected" }
          or { status: "expired" }

3a. status == "approved"  → proceed; treat the code as a sensitive one-time token
3b. status == "rejected"  → abort; inform the user
3c. status == "expired"   → abort; treat as rejected

Non-blocking check

If you need to do other work while waiting, use check_approval_status(request_id) to poll manually instead of wait_for_approval.

Rules

  • Always wait for approval before proceeding — never skip or assume approval
  • Abort on rejection — do not retry the same action without user re-initiation
  • Abort on expiry — a timed-out request is treated as rejected
  • Be specificaction and context should give the human enough detail to decide
  • Handle the code carefully — the one-time approval code returned on approval is a sensitive one-time token; do not write it to logs or external systems

MCP Tools

ToolPurpose
request_approval(action, context?, risk_level?)Submit approval request, returns request ID
wait_for_approval(request_id, timeout_seconds?)Block until decided, returns status + code
check_approval_status(request_id)Single non-blocking poll

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

84.06%
按下载量换算1,073

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install agentmfa 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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