What is aws-ses-inbound?

A setup workflow for receiving email through Amazon SES, Amazon’s email service, and delivering notifications through SNS, Amazon’s messaging service, to an HTTPS webhook. It configures the email receipt rules and confirms the notification subscription.

Use it for email-to-ticket systems, inbound email parsers, or email agents that need to receive messages through a verified domain and webhook.

It removes the manual configuration needed to connect incoming email to an application that processes messages.

How different-ai/agent-bank configures OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to different-ai/agent-bank. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/different-ai/agent-bank/main/.opencode/skill/aws-ses-inbound/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/different-ai/agent-bank

Made for: OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/different-ai/agent-bank/aws-ses-inbound/github.svg)](https://agentmods.dev/skills/different-ai/agent-bank/aws-ses-inbound)

Your own site

<a href="https://agentmods.dev/skills/different-ai/agent-bank/aws-ses-inbound"><img src="https://agentmods.dev/badge/skills/different-ai/agent-bank/aws-ses-inbound/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/different-ai/agent-bank/aws-ses-inbound"><img src="https://agentmods.dev/badge/skills/different-ai/agent-bank/aws-ses-inbound.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,862 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00018	$0.01862
Opus 5	$0.00009	$0.00931
Sonnet 5	$0.00004	$0.00372
Haiku 4.5	$0.00002	$0.00186

Measured 12d ago against content hash ede3c65e825a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aws-ses-inbound 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 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.

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.

.opencode/skill/aws-ses-inbound/SKILL.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Contract

Purpose

Configure SES inbound email reception with SNS webhook delivery.

Inputs

AWS credentials, verified domain, and HTTPS webhook endpoint.

Outputs

Active receipt rule set and confirmed SNS subscription.

Completion Signals

complete when the rule set is active and SNS shows confirmed subscription.
continue when awaiting DNS verification or subscription confirmation.
error on permission failures or invalid credentials.

Credential Missing Behavior

If AWS credentials are missing, ask the user and stop.

What I Do

Set up Amazon SES (Simple Email Service) for receiving inbound emails and forwarding them to a webhook via SNS (Simple Notification Service). This is commonly used for:

AI email agents that process incoming emails
Email-to-ticket systems
Inbound email parsing APIs

Prerequisites

AWS CLI installed: brew install awscli or pip install awscli
AWS credentials with SES and SNS permissions
Domain with configurable DNS (for MX records)

Credential Setup

Set credentials via environment variables:

export AWS_ACCESS_KEY_ID='AKIA...'
export AWS_SECRET_ACCESS_KEY='...'
export AWS_DEFAULT_REGION='us-east-1'

Or use AWS CLI profile:

aws configure --profile ses-admin
export AWS_PROFILE=ses-admin

Supported Regions for SES Inbound

SES inbound email is only available in:

us-east-1 (N. Virginia)
us-west-2 (Oregon)
eu-west-1 (Ireland)

Complete Setup Flow

Step 1: Verify Domain in SES

# Register domain for verification
aws ses verify-domain-identity --domain example.com

# Response includes VerificationToken - add as TXT record:
# Name: _amazonses.example.com
# Value: <VerificationToken>

Step 2: Get DKIM Tokens

# Get DKIM tokens for email authentication
aws ses verify-domain-dkim --domain example.com

# Response includes 3 DkimTokens - add as CNAME records:
# Name: <token>._domainkey.example.com
# Value: <token>.dkim.amazonses.com

Read the full file on GitHub · 312 lines

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.

12d ago First seen · 312 lines · 18 tokens per session scan A ede3c65e825a

Subscribe to this mod's changes

aws-ses-inbound is a skill published in the GitHub repository different-ai/agent-bank (249 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 1,862 once invoked, about $0.0001 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 2026-08-30.

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