agent-email-inbox

resend/resend-skills · updated Apr 8, 2026

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$npx skills add https://github.com/resend/resend-skills --skill agent-email-inbox
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summary

This skill covers setting up a secure email inbox that allows your application or AI agent to receive and respond to emails, with content safety measures in place.

skill.md

AI Agent Email Inbox

Overview

This skill covers setting up a secure email inbox that allows your application or AI agent to receive and respond to emails, with content safety measures in place.

Core principle: An AI agent's inbox receives untrusted input. Security configuration is important to handle this safely.

Why Webhook-Based Receiving?

Resend uses webhooks for inbound email, meaning your agent is notified instantly when an email arrives. This is valuable for agents because:

  • Real-time responsiveness — React to emails within seconds, not minutes
  • No polling overhead — No cron jobs checking "any new mail?" repeatedly
  • Event-driven architecture — Your agent only wakes up when there's actually something to process
  • Lower API costs — No wasted calls checking empty inboxes

Architecture

Sender → Email → Resend (MX) → Webhook → Your Server → AI Agent
                                    Security Validation
                                    Process or Reject

SDK Version Requirements

This skill requires Resend SDK features for webhook verification (webhooks.verify()) and email receiving (emails.receiving.get()). Always install the latest SDK version. If the project already has a Resend SDK installed, check the version and upgrade if needed.

Language Package Min Version
Node.js resend >= 6.9.2
Python resend >= 2.21.0
Go resend-go/v3 >= 3.1.0
Ruby resend >= 1.0.0
PHP resend/resend-php >= 1.1.0
Rust resend-rs >= 0.20.0
Java resend-java >= 4.11.0
.NET Resend >= 0.2.1

Install the resend npm package: npm install resend (or the equivalent for your language). For full sending docs, install the resend skill.

Quick Start

  1. Ask the user for their email address — You need a real email address to send test emails to. Ask the user and wait for their response before proceeding.
  2. Choose your security level — Decide how to validate incoming emails before any are processed
  3. Set up receiving domain — Configure MX records for the user's custom domain (see Domain Setup section)
  4. Create webhook endpoint — Handle email.received events with security built in from the start. The webhook endpoint MUST be a POST route.
  5. Set up tunneling (local dev) — Use Tailscale Funnel (recommended) or ngrok. See references/webhook-setup.md
  6. Create webhook via API — Use the Resend Webhook API to register your endpoint programmatically. See references/webhook-setup.md
  7. Connect to agent — Pass validated emails to your AI agent for processing

Before You Start: Account & API Key Setup

First Question: New or Existing Resend Account?

Ask your human:

  • New account just for the agent? → Simpler setup, full account access is fine
  • Existing account with other projects? → Use domain-scoped API keys for sandboxing

Creating API Keys Securely

Don't paste API keys in chat! They'll be in conversation history forever.

Safer options:

  1. Environment file method: Human creates .env file directly: echo "RESEND_API_KEY=re_xxx" >> .env
  2. Password manager / secrets manager: Human stores key in 1Password, Vault, etc.
  3. If key must be shared in chat: Human should rotate the key immediately after setup

Domain-Scoped API Keys (Recommended for Existing Accounts)

If your human has an existing Resend account with other projects, create a domain-scoped API key:

  1. Verify the agent's domain first (Dashboard → Domains → Add Domain)
  2. Create a scoped API key: Dashboard → API Keys → Create API Key → "Sending access" → select only the agent's domain
  3. Result: Even if the key leaks, it can only send from one domain

Domain Setup

Option 1: Resend-Managed Domain (Recommended for Getting Started)

Use your auto-generated address: <anything>@<your-id>.resend.app

No DNS configuration needed. Find your address in Dashboard → Emails → Receiving → "Receiving address".

Option 2: Custom Domain

The user must enable receiving in the Resend dashboard: Domains page → toggle on "Enable Receiving".

Then add an MX record:

Setting Value
Type MX
Host Your domain or subdomain (e.g., agent.yourdomain.com)
Value Provided in Resend dashboard
Priority 10 (must be lowest number to take precedence)

Use a subdomain (e.g., agent.yourdomain.com) to avoid disrupting existing email services.

Tip: Verify DNS propagation at dns.email.

DNS Propagation: MX record changes can take up to 48 hours to propagate globally, though often complete within a few hours.

Security Levels

Choose your security level before setting up the webhook endpoint. An AI agent that processes emails without security is dangerous — anyone can email instructions that your agent will execute. The webhook code you write next should include your chosen security level from the start.

Ask the user what level of security they want, and ensure that they understand what each level means.

Level Name When to Use Trade-off
1 Strict Allowlist Most use cases — known, fixed set of senders Maximum security, limited functionality
2 Domain Allowlist Organization-wide access from trusted domains More flexible, anyone at domain can interact
3 Content Filtering Accept from anyone, filter unsafe patterns Can receive from anyone, pattern matching not foolproof
4 Sandboxed Processing Process all emails with restricted agent capabilities Maximum flexibility, complex to implement
5 Human-in-the-Loop Require human approval for untrusted actions Maximum security, adds latency

For detailed implementation code for each level, see references/security-levels.md.

Level 1: Strict Allowlist (Recommended)

Only process emails from explicitly approved addresses. Reject everything else.

const ALLOWED_SENDERS = [
  '[email protected]',
  '[email protected]',
];

async function processEmailForAgent(
  eventData: EmailReceivedEvent,
  emailContent: EmailContent
) {
  const sender = eventData.from.toLowerCase();

  if (!ALLOWED_SENDERS.some(allowed => sender === allowed.toLowerCase())) {
    console.log(`Rejected email from unauthorized sender: ${sender}`);
    await notifyOwnerOfRejectedEmail(eventData);
    return;
  }

  await agent.processEmail({
    from: eventData.from,
    subject: eventData.subject,
    body: emailContent.text || emailContent.html,
  });
}

Security Best Practices

Always Do

Practice Why
Verify webhook signatures Prevents spoofed webhook events
Log all rejected emails Audit trail for security review
Use allowlists where possible Explicit trust is safer than filtering
Rate limit email processing Prevents excessive processing load
Separate trusted/untrusted handling Different risk levels need different treatment

Never Do

Anti-Pattern Risk
Process emails without validation Anyone can control your agent
Trust email headers for authentication Headers are trivially spoofed
Execute code from email content Untrusted input should never run as code
Store email content in prompts verbatim Untrusted input mixed into prompts can alter agent behavior
Give untrusted emails full agent access Scope capabilities to the minimum needed

Webhook Endpoint

After choosing your security level and setting up your domain, create a webhook endpoint. The webhook endpoint MUST be a POST route. Resend sends all webhook events as POST requests.

Critical: Use raw body for verification. Webhook signature verification requires the raw request body.

  • Next.js App Router: Use req.text() (not req.json())
  • Express: Use express.raw({ type: 'application/json' }) on the webhook route

Next.js App Router

// app/webhook/route.ts
import { Resend } from 'resend';
import { NextRequest, NextResponse } from 'next/server';

const resend = new Resend(process.env.RESEND_API_KEY);

export async function POST(req: NextRequest) {
  try {
    const payload = await req.text();

    const event = resend.webhooks.verify({
      payload,
      headers: {
        'svix-id': req.headers.get('svix-id'),
        'svix-timestamp': req.headers.get('svix-timestamp'),
        'svix-signature': req.headers.get('svix-signature'),
      },
      secret: process.env.RESEND_WEBHOOK_SECRET,
    });

    if (event.type === 'email.received') {
      // Webhook payload only includes metadata, not email body
      const { data: email } = await resend.emails.receiving.get(
        event.data.email_id
      );

      // Apply the security level chosen above
      await processEmailForAgent(event.data, email);
    }

    return new NextResponse('OK', { status: 200 });
  } catch (error) {
    console.error('Webhook error:', error);
    return new NextResponse('Error', { status: 400 });
  }
}

Express

import express from 'express';
how to use agent-email-inbox

How to use agent-email-inbox on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add agent-email-inbox
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/resend/resend-skills --skill agent-email-inbox

The skills CLI fetches agent-email-inbox from GitHub repository resend/resend-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/agent-email-inbox

Reload or restart Cursor to activate agent-email-inbox. Access the skill through slash commands (e.g., /agent-email-inbox) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.457 reviews
  • Daniel Ghosh· Dec 24, 2024

    Registry listing for agent-email-inbox matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Daniel Iyer· Dec 24, 2024

    agent-email-inbox reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Dec 20, 2024

    I recommend agent-email-inbox for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Advait Menon· Dec 16, 2024

    agent-email-inbox fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Charlotte Martinez· Dec 12, 2024

    Useful defaults in agent-email-inbox — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amelia Mensah· Dec 12, 2024

    I recommend agent-email-inbox for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Neel Jain· Nov 27, 2024

    Registry listing for agent-email-inbox matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Amelia Johnson· Nov 23, 2024

    Useful defaults in agent-email-inbox — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Layla Sethi· Nov 15, 2024

    We added agent-email-inbox from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Piyush G· Nov 11, 2024

    agent-email-inbox fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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