agentmail

An API integration that gives AI agents email inboxes they can use programmatically. It supports creating inboxes, sending and receiving messages, handling attachments, managing labels and drafts, and receiving event notifications.

In plain words
What is it for?
Use it to create agent inboxes, read or send email, process attachments, prepare drafts for approval, organize messages, and react to email events.
Why use it?
It removes the need to build and operate separate email accounts and mailbox plumbing for an agent.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/agentcomputerai/torch/agentmail
Any agent
npx skills add AgentComputerAI/torch --skill agentmail
Clone the repo
git clone --depth 1 https://github.com/AgentComputerAI/torch

Made for: Claude Code, Codex.

Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,822 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00069 $0.01822
Opus 5 $0.00034 $0.00911
Sonnet 5 $0.00014 $0.00364
Haiku 4.5 $0.00007 $0.00182

Measured yesterday against content hash e1097a65e807, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentmail scanned grade A with 0 findings 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 yesterday.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • agentmail — 92% identical, 83 lines differ
skills/agentmail/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentMail SDK

AgentMail is an API-first email platform for AI agents. Install the SDK and initialize the client.

Installation

# TypeScript/Node
npm install agentmail

# Python
pip install agentmail

Setup

import { AgentMailClient } from "agentmail";
const client = new AgentMailClient({ apiKey: "YOUR_API_KEY" });
from agentmail import AgentMail
client = AgentMail(api_key="YOUR_API_KEY")

Inboxes

Create scalable inboxes on-demand. Each inbox has a unique email address.

// Create inbox (auto-generated address)
const autoInbox = await client.inboxes.create();

// Create with custom username and domain
const customInbox = await client.inboxes.create({
  username: "support",
  domain: "yourdomain.com",
});

// List, get, delete
const inboxes = await client.inboxes.list();
const fetchedInbox = await client.inboxes.get({
  inboxId: "[email protected]",
});
await client.inboxes.delete({ inboxId: "[email protected]" });
# Create inbox (auto-generated address)
inbox = client.inboxes.create()

# Create with custom username and domain
inbox = client.inboxes.create(username="support", domain="yourdomain.com")

# List, get, delete
inboxes = client.inboxes.list()
inbox = client.inboxes.get(inbox_id="[email protected]")
client.inboxes.delete(inbox_id="[email protected]")

Messages

Always send both text and html for best deliverability.

// Send message
await client.inboxes.messages.send({
  inboxId: "[email protected]",
  to: "[email protected]",
  subject: "Hello",
  text: "Plain text version",
  html: "<p>HTML version</p>",
  labels: ["outreach"],
});

// Reply to message
await client.inboxes.messages.reply({
  inboxId: "[email protected]",
  messageId: "msg_123",
  text: "Thanks for your email!",
});

// List and get messages
const messages = await client.inboxes.messages.list({
  inboxId: "[email protected]",
});
const message = await client.inboxes.messages.get({
  inboxId: "[email protected]",
  messageId: "msg_123",
});

// Update labels
await client.inboxes.messages.update({
  inboxId: "[email protected]",
  messageId: "msg_123",
  addLabels: ["replied"],
  removeLabels: ["unreplied"],
});

Read the full file on GitHub · 300 lines

Files

What ships with it

2 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. yesterday First seen · 300 lines · 69 tokens per session scan A e1097a65e807

Subscribe to this mod's changes

agentmail is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 4mo ago), licensed MIT. It adds 69 tokens to every session and 1,822 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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