aws

aws is a skill for Claude Code from pleaseai/claude-code-plugins. It costs 145 tokens per session (4,730 once invoked), scanned A, a copy of aws, MIT.

A local replacement for selected Amazon Web Services (AWS) cloud services. It imitates S3 object storage, SQS message queues, IAM permissions, and STS role access, keeping all state in memory.

In plain words
What is it for?
Use it to test uploading and retrieving files, sending and receiving queue messages, checking permissions, or testing role-assumption flows.
Why use it?
It lets developers test AWS integrations without contacting the real AWS account or creating cloud resources. The AWS SDK can point to the local endpoint instead.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Part of the emulate plugin — 11 skills shipped together

Good fit Use it to test uploading and retrieving files, sending and receiving queue messages, checking permissions, or testing role-assumption flows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pleaseai/claude-code-plugins/aws
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 pleaseai/claude-code-plugins --skill aws
Clone the repo
git clone --depth 1 https://github.com/pleaseai/claude-code-plugins

Made for: Claude Code.

Or install emulate, the plugin that ships this one along with the rest of its 11 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 aws

README.md
[![agentmods](https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/aws/github.svg)](https://agentmods.dev/skills/pleaseai/claude-code-plugins/aws)
Your own site
<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/aws"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/aws/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 aws

Your own site · 80×15
<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/aws"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/aws.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,730 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.
Origin 100% copy Near-identical to another mod 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 $0.00145 $0.04730
Opus 5.5 $0.00058 $0.01892
Sonnet 5.5 $0.00029 $0.00946
Haiku 4.5 $0.00015 $0.00473

Measured today against content hash 0a8e2d5070dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aws 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 today.

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.

allowed-tools: Bash(npx emulate:*), Bash(curl:*)
Origin

This is a copy

100% identical to aws — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/emulate/.agents/skills/aws/SKILL.md · 451 lines

How it starts

The opening of the file, as written. The whole thing — 451 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS Emulator

S3, SQS, Cognito, IAM, and STS emulation with AWS SDK-compatible S3 paths. S3 uploads and downloads preserve arbitrary binary payloads, including raw byte lengths and ETags. SQS supports AWS JSON 1.0 and XML Query protocols; IAM and STS use XML Query. All state is in-memory.

Start

Local listeners bind to 127.0.0.1 by default. For access from containers or other machines, pass --host 0.0.0.0 to the CLI or hostname: '0.0.0.0' to createEmulator. Configure --base-url or baseUrl for advertised URLs reachable by those clients.

# AWS only
npx emulate --service aws

# Default port (when run alone)
# http://localhost:4000

Or programmatically:

import { createEmulator } from 'emulate'

const aws = await createEmulator({ service: 'aws', port: 4006 })
// aws.url === 'http://localhost:4006'

Auth

Pass tokens as Authorization: Bearer <token>. Scoped permissions use s3:*, sqs:*, iam:*, sts:* patterns.

curl http://localhost:4006/ \
  -H "Authorization: Bearer test_token_admin"

Pointing Your App at the Emulator

Environment Variable

AWS_EMULATOR_URL=http://localhost:4006

AWS SDK v3

import { S3Client } from '@aws-sdk/client-s3'

const s3 = new S3Client({
  endpoint: process.env.AWS_EMULATOR_URL,
  region: 'us-east-1',
  credentials: {
    accessKeyId: 'AKIAIOSFODNN7EXAMPLE',
    secretAccessKey: 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY',
  },
  forcePathStyle: true,
})
import { SQSClient } from '@aws-sdk/client-sqs'

const sqs = new SQSClient({
  endpoint: `${process.env.AWS_EMULATOR_URL}/sqs`,
  region: 'us-east-1',
  credentials: {
    accessKeyId: 'AKIAIOSFODNN7EXAMPLE',
    secretAccessKey: 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY',
  },
})
import { IAMClient } from '@aws-sdk/client-iam'

const iam = new IAMClient({
  endpoint: `${process.env.AWS_EMULATOR_URL}/iam`,
  region: 'us-east-1',
  credentials: {
    accessKeyId: 'AKIAIOSFODNN7EXAMPLE',
    secretAccessKey: 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY',
  },
})

Read the full file on GitHub · 451 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.

  1. today Changed · +65 lines · +19 tokens per session 0a8e2d5070dd
  2. 29d ago Changed ba2c7c01cdab
  3. 1mo ago First seen · 386 lines · 126 tokens per session scan A 7ccdee6379b0

Subscribe to this mod's changes

aws is a skill published in the GitHub repository pleaseai/claude-code-plugins (16 stars, last pushed today), licensed MIT. It adds 145 tokens to every session and 4,730 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to aws, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

gke-compute-classes

Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…

google/skills · 83 tokens

gke-workload-security

Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…

google/skills · 171 tokens

gke-reliability

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…

google/skills · 85 tokens

cloud-architect

Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…

Jeffallan/claude-skills · 71 tokens

nemo-automodel-launcher-config

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills · 30 tokens

azure-mgmt-botservice-dotnet

Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".

microsoft/skills · 78 tokens