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.
npx agentmods add skills/vercel-labs/emulate/awsnpx skills add vercel-labs/emulate --skill awsgit clone --depth 1 https://github.com/vercel-labs/emulateWhat 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 | $0.00126 | $0.03218 |
| Opus 5 | $0.00063 | $0.01609 |
| Sonnet 5 | $0.00025 | $0.00644 |
| Haiku 4.5 | $0.00013 | $0.00322 |
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 3d 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.
allowed-tools: Bash(npx emulate:*), Bash(emulate:*), Bash(curl:*) Copies of this mod
1 near-identical copy found in the catalogue:
- aws — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Emulator
S3, SQS, IAM, and STS emulation with AWS SDK-compatible S3 paths and query-style SQS/IAM/STS endpoints. All state is in-memory, and responses use AWS-compatible XML.
Start
# 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',
},
})
Seed Config
aws:
region: us-east-1
s3:
buckets:
- name: my-app-bucket
- name: my-app-uploads
region: eu-west-1
sqs:
queues:
- name: my-app-events
- name: my-app-dlq
visibility_timeout: 60
- name: my-app-orders.fifo
fifo: true
iam:
users:
- user_name: developer
create_access_key: true
- user_name: readonly-user
roles:
- role_name: lambda-execution-role
description: Role for Lambda function execution
assume_role_policy: '{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Principal":{"Service":"lambda.amazonaws.com"},"Action":"sts:AssumeRole"}]}'
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.
- 3d ago First seen · 386 lines · 126 tokens per session scan A 7ccdee6379b0
aws is a skill published in the GitHub repository vercel-labs/emulate (1,621 stars, last pushed yesterday), licensed Apache-2.0. It adds 126 tokens to every session and 3,218 once invoked, about $0.0006 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.
Other skills, from other repositories
kagent-dev
Development guide for kagent's v1alpha3 Harness and AgentTemplate CRDs, AgentInstance gRPC control plane, upstream A2A integration, Substrate runtime provisioning, tests, generation, and PR workflow. Use for any implementation, debugging, review, or CI task in the kagent repository.
timoni
Use when deploying applications to Kubernetes with Timoni. Covers installing and upgrading module instances from OCI registries, composing multi-app deployments with bundles, injecting values from clusters or CI with runtimes, targeting multiple clusters, and authoring, testing, signing and publishing modules with CUE.
azmon-mirroredcatalogs-operations-cli
Brings Azure Monitor, Application Insights, and Log Analytics telemetry into Fabric as Eventhouse external delta tables and correlates it with business data. Use to onboard observability data, judge whether latency or availability affected revenue, or build a Real-Time dashboard and Operations Agent over it.
durable-objects
Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases…
ship-web-games
Package, deploy, and verify a playable Three.js or web game. Use for release builds, asset delivery, private/public deployment, production smoke tests, browser proof, release notes, rollback readiness, and cleanup of temporary QA resources.
hyperpod-version-checker
Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting version mismatches…