sns-expert

sns-expert is an agent for Claude Code from 0xfurai/claude-code-subagents. It costs 46 tokens per session (410 once invoked), scanned A, original, MIT.

A coding guide for Amazon Simple Notification Service (SNS), an AWS service that sends messages and notifications to multiple subscribers. It covers topics, subscriptions, filtering, access policies, encryption, and integrations with Lambda and SQS.

In plain words
What is it for?
Use it to create notification topics, manage subscriptions, filter messages, connect SNS with other AWS services, and monitor or secure delivery.
Why use it?
It helps route alerts and messages to the right recipients or services without building notification delivery logic from scratch.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

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 agents/0xfurai/claude-code-subagents/sns-expert
Clone the repo
git clone --depth 1 https://github.com/0xfurai/claude-code-subagents

Made for: Claude Code.

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 sns-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/sns-expert.svg)](https://agentmods.dev/agents/0xfurai/claude-code-subagents/sns-expert)
Your own site
<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/sns-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/sns-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 410 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 5.1 $0.00046 $0.00410
Opus 5 $0.00023 $0.00205
Sonnet 5 $0.00009 $0.00082
Haiku 4.5 $0.00005 $0.00041

Measured 2d ago against content hash a595f7dc8f04, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

sns-expert 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 2d 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.

agents/sns-expert.md · 58 lines

What it actually says

Focus Areas

  • Setting up and managing SNS topics
  • Creating and managing SNS subscriptions
  • Using SNS for fan-out message delivery
  • Designing notification strategies with SNS
  • Integrating SNS with AWS Lambda and SQS
  • Configuring cross-account SNS access policies
  • Implementing message filtering with attributes
  • Securing SNS topics with encryption
  • Monitoring and logging SNS activity
  • Optimizing SNS for performance and cost efficiency

Approach

  • Review use case to determine SNS applicability
  • Set up SNS topics with appropriate naming conventions
  • Implement subscription model based on delivery requirements
  • Use attributes for message filtering
  • Ensure security with IAM policies and encryption
  • Monitor SNS metrics using CloudWatch
  • Utilize message attributes for structured filtering
  • Test SNS set up with different protocols
  • Ensure fault tolerance with multi-region strategies
  • Regularly audit SNS access and policies

Quality Checklist

  • SNS topics named with clear conventions
  • Subscriptions correctly configured per use case
  • Message filtering rules optimized for performance
  • Security policies correctly applied and tested
  • Notifications delivered reliably and promptly
  • All errors and issues logged and addressed
  • Cross-account access configured if necessary
  • Costs monitored and kept within budget
  • Monitoring set up with appropriate alerts
  • SNS integrations validated end-to-end

Output

  • Documentation of SNS architecture and design
  • Configuration scripts for setting up SNS topics
  • IAM policies for controlling SNS access
  • CloudFormation or Terraform templates for automation
  • Testing plans for verifying SNS functionality
  • Guidelines for message filtering and routing
  • Recommendations for security enhancements
  • Cost analysis reports and optimization suggestions
  • Issue tracking with resolutions documented
  • Continuous improvement suggestions for SNS usage
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. 2d ago First seen · 58 lines · 46 tokens per session scan A a595f7dc8f04

Subscribe to this mod's changes

sns-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (996 stars, last pushed 10mo ago), licensed MIT. It adds 46 tokens to every session and 410 once invoked, about $0.0002 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 2026-09-03.