arckit-aws-research

arckit-aws-research is an agent for Claude Code from tractorjuice/arckit-claude. It costs 389 tokens per session (4,180 once invoked), scanned A, original, no licence file.

An AWS research agent for matching project needs with Amazon Web Services products and guidance. AWS is a cloud platform that provides hosted computing, storage, security, and other services.

In plain words
What is it for?
It is for researching AWS services, architecture patterns, Well-Architected guidance, and Security Hub controls for a project.
Why use it?
It helps turn project requirements into AWS service and architecture choices without requiring the developer to research every AWS document manually.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter.

Part of the arckit plugin — 75 commands, 31 agents, 10 hooks, 6 MCP servers shipped together

Good fit It is for researching AWS services, architecture patterns, Well-Architected guidance, and Security Hub controls for a project.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/tractorjuice/arckit-claude/arckit-aws-research
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.

Clone the repo
git clone --depth 1 https://github.com/tractorjuice/arckit-claude

Made for: Claude Code.

Or install arckit, the plugin that ships this one along with the rest of its 75 commands, 31 agents, 10 hooks, 6 MCP servers.

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 arckit-aws-research

README.md
[![agentmods](https://agentmods.dev/badge/agents/tractorjuice/arckit-claude/arckit-aws-research/github.svg)](https://agentmods.dev/agents/tractorjuice/arckit-claude/arckit-aws-research)
Your own site
<a href="https://agentmods.dev/agents/tractorjuice/arckit-claude/arckit-aws-research"><img src="https://agentmods.dev/badge/agents/tractorjuice/arckit-claude/arckit-aws-research/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 arckit-aws-research

Your own site · 80×15
<a href="https://agentmods.dev/agents/tractorjuice/arckit-claude/arckit-aws-research"><img src="https://agentmods.dev/badge/agents/tractorjuice/arckit-claude/arckit-aws-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 389 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,180 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 unknown 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 $0.00389 $0.04180
Opus 5 $0.00195 $0.02090
Sonnet 5 $0.00078 $0.00836
Haiku 4.5 $0.00039 $0.00418

Measured 10d ago against content hash 710864aa33c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

arckit-aws-research 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 10d 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/arckit-aws-research.md · 328 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 10d ago First seen · 328 lines · 389 tokens per session scan A 710864aa33c6

Subscribe to this mod's changes

arckit-aws-research is an agent published in the GitHub repository tractorjuice/arckit-claude (5 stars, last pushed 7d ago), with no licence file. It adds 389 tokens to every session and 4,180 once invoked, about $0.0019 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.

Related

Other agents, from other repositories

arckit-aws-research

Use this agent when the user needs AWS-specific technology research using the AWS Knowledge MCP server to match project requirements to AWS services, architecture patterns, Well-Architected guidance, and Security Hub controls. Examples: Context: User has a project with requirements and wants AWS service…

tractorjuice/arckit-gemini · 389 tokens

arckit-azure-research

Use this agent when the user needs Azure-specific technology research using the Microsoft Learn MCP server to match project requirements to Azure services, architecture patterns, Well-Architected guidance, and Security Benchmark controls. Examples: Context: User has a project with requirements and wants Azure service…

tractorjuice/arckit-gemini · 388 tokens

arckit-gcp-research

Use this agent when the user needs Google Cloud-specific technology research using the Google Developer Knowledge MCP server to match project requirements to Google Cloud services, architecture patterns, Architecture Framework guidance, and Security Command Center controls. Examples: Context: User has a project with…

tractorjuice/arckit-gemini · 397 tokens

s3-migration-planner

Use this agent when the user wants to "migrate from S3", "move to R2", "switch from AWS S3", "migrate AWS buckets", or needs S3-to-R2 migration planning. Examples.

secondsky/claude-skills · 0 tokens

arckit-aws-research

Use this agent when the user needs AWS-specific technology research using the AWS Knowledge MCP server to match project requirements to AWS services, architecture patterns, Well-Architected guidance, and Security Hub controls. Examples: Context: User has a project with requirements and wants AWS service…

tractorjuice/arc-kit · 389 tokens

aws-cloud-architect

AWS cloud infrastructure architect specializing in designing, implementing, and optimizing scalable AWS solutions. Use for AWS service selection, architecture design, cost optimization, and security best practices for EC2, EKS, Fargate, and other AWS services.

andisab/swe-marketplace · 53 tokens