agent-email-inbox

agent-email-inbox is a skill for Claude Code from resend/resend-skills. It costs 94 tokens per session (3,710 once invoked), scanned A, original, MIT.

A guide for building a secure inbox where incoming email can trigger application or AI-agent actions. It treats email as untrusted input and describes a webhook-based flow from the sender through Resend to the server and agent.

In plain words
What is it for?
Use it when creating email-to-task workflows, automated support handlers, or agents that receive and respond to email.
Why use it?
It helps avoid unsafe processing of email and removes the need to repeatedly poll an inbox for new messages.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: built for openclaw.

Part of the resend plugin — 5 skills shipped together

not rated 174repo +5 today A scan Socket: passSnyk: warnSkillSpector: pass 94 tokens original MIT

Good fit Use it when creating email-to-task workflows, automated support handlers, or agents that receive and respond to email.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/resend/resend-skills/agent-email-inbox
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add resend/resend-skills --skill agent-email-inbox
Clone the repo
git clone --depth 1 https://github.com/resend/resend-skills

Made for: Claude Code.

Or install resend, the plugin that ships this one along with the rest of its 5 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-email-inbox

README.md
[![agentmods](https://agentmods.dev/badge/skills/resend/resend-skills/agent-email-inbox/github.svg)](https://agentmods.dev/skills/resend/resend-skills/agent-email-inbox)
Your own site
<a href="https://agentmods.dev/skills/resend/resend-skills/agent-email-inbox"><img src="https://agentmods.dev/badge/skills/resend/resend-skills/agent-email-inbox/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-email-inbox

Your own site · 80×15
<a href="https://agentmods.dev/skills/resend/resend-skills/agent-email-inbox"><img src="https://agentmods.dev/badge/skills/resend/resend-skills/agent-email-inbox.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,710 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 16 Apr 2026
  • Snyk warn 16 Apr 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00094 $0.03710
Opus 5 $0.00047 $0.01855
Sonnet 5 $0.00019 $0.00742
Haiku 4.5 $0.00009 $0.00371

Measured 12d ago against content hash 50df0c77dc31, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agent-email-inbox scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. Server is running: `curl http://localhost:3000` should return a response
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/agent-email-inbox/SKILL.md · 401 lines

How it starts

The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 401 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 401 lines · 94 tokens per session scan A 50df0c77dc31

Subscribe to this mod's changes

agent-email-inbox is a skill published in the GitHub repository resend/resend-skills (174 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 3,710 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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