Agent Toolkit for AWS is a collection of AWS-supported MCP servers, skills, plugins, commands, and hooks that help AI coding agents build, deploy, and manage applications on AWS. It is used by developers working with AWS services through agents such as Claude Code, Codex, Cursor, and Kiro. The catalogue entries are the toolkit's own agent extensions for AWS development and operations.
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 skills add aws/agent-toolkit-for-aws --skill azure-to-awsgit clone --depth 1 https://github.com/aws/agent-toolkit-for-awsWrote 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.
[](https://agentmods.dev/skills/aws/agent-toolkit-for-aws/azure-to-aws)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/azure-to-aws"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/azure-to-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.
<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/azure-to-aws"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/azure-to-aws.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00239 | $0.05106 |
| Opus 5.5 | $0.00096 | $0.02042 |
| Sonnet 5.5 | $0.00048 | $0.01021 |
| Haiku 4.5 | $0.00024 | $0.00511 |
Grade A, and why
azure-to-aws 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- azure-to-aws — 94% identical, 74 lines differ
How it starts
The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure-to-AWS Migration Skill
Build status. Discover, Clarify, Design, Estimate, Generate, and the what-if workshop are implemented. A
## Statusblock records which build step filled a file in. It is not a signal to skip the file or to treat its body as a stub. Still missing: Bicep, ARM templates, and RDfA; the feedback sidebar (wiring only); andpatterns.md,licensing.md, andgpu-hpc.md. The liveazcapture path is implemented (discover-live.md). OpenAI, OpenRouter, and Anthropic usage-API discovery (interactive, consent-gated, main-window — same shape asdiscover-live.md's pre-dispatch live-azcapture) is implemented.
Optional usage telemetry
Before starting or resuming, load references/vendored/telemetry/PROTOCOL.md and
run its read-only status check. Use the returned reporting mode rather than the
model's identity. Complete the existing notice exchange only when that protocol
requires it; unavailable or declined telemetry never blocks this skill.
Philosophy
- Re-platform by default: pick the AWS service that matches the Azure workload type (App Service → Elastic Beanstalk, AKS → EKS, VMs → EC2, Flexible Server → RDS/Aurora, Azure Cache for Redis → ElastiCache). Re-architecting is a user decision, not a default.
- Do not recommend AWS App Runner (no longer accepting new customers as of April 2026). App Service maps to Elastic Beanstalk by default, with Fargate as the override for direct container control and EKS for teams that already run Kubernetes. ECS Express Mode may be mentioned only as a forward-look on the Fargate override path.
- Live-first discovery, read-only and consent-gated: the user's authenticated
azCLI is a first-class source — most startups have noazurerm_*Terraform, and the tenant is authoritative for what actually runs. The live-azcapture path is implemented (discover-live.md): consent + read-onlyaz resource list/listcapture run as main-window pre-work, and a file-only fragment parses the capture into the same inventory contract as the Terraform path (a live-only workspace no longer halts — it discovers). Resource Discovery for Azure (RDfA) is offered as the accuracy upgrade when right-sizing dollars matter, and recommended outright above roughly a handful of subscriptions. Live capture is strictly read-only, never captures app-setting or connection-string VALUES, and never mints a token. - Holistic first, per-resource second: the report leads with cluster-level architecture rationale. A 40-row per-resource mapping table is an appendix, not the headline.
- Pre-determined where there is no ambiguity: an architecture-invariant primitive (Blob → S3, VNet → VPC) is a deterministic table lookup and never routed through a rubric that could reason its way somewhere else. A pattern may narrow the rubric's candidate set; a pattern may never change a
deterministicmapping's target. - Dev sizing unless specified: default to development-tier capacity (single AZ,
db.t4g.micro-class). Upgrade only on user direction or on measured utilization. - x86_64 is the default architecture here, not Graviton: Azure fleets carry Windows and .NET far more often than GCP or Heroku fleets do, and
references/shared/graviton.md's escape path (Windows, .NET Framework, GPU/CUDA, RDS SQL Server) fires routinely. Graviton is offered as an optimization, not assumed. - Startup-weighted, not enterprise-weighted: Azure Database for PostgreSQL/MySQL Flexible Server and Cosmos DB Core API get full depth. Azure SQL Database / Managed Instance / SQL-on-VM, Azure Hybrid Use Benefit licensing, elastic-pool consolidation, and Synapse sit behind specialist gates that fire only on detection.
- No human one-time migration costs: do not present human labor, professional services, or people-time as dollar estimates or a "one-time migration cost" budget line. Vendor charges grounded in data (Azure invoice line items in the baseline) are allowed.
- Generate is opt-in: Design and Estimate always run. Terraform, migration scripts, and docs are produced only after the user chooses Execute at the post-Estimate decision gate (
run_mode: decide_and_execute).
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- knowledge/design/aks-eks-sizing.json 4.9 KB
- knowledge/design/appservice-eb-sizing.json 7.4 KB
- knowledge/design/azure-region-map.json 6.5 KB
- knowledge/design/cosmos-dynamodb-conversion.json 5.2 KB
- knowledge/design/disk-ebs-sizing.json 5.7 KB
- knowledge/design/fast-path-services.json 50 KB
- knowledge/design/flexible-server-rds-sizing.json 5.2 KB
- knowledge/design/vm-ec2-sizing.json 9.3 KB
- knowledge/estimate/estimate-defaults.json 7.2 KB
- knowledge/estimate/rightsizing-thresholds.json 3.5 KB
- references/clustering/classification-rules.md 3.9 KB
- references/clustering/clustering-algorithm.md 11 KB
- references/clustering/tiering.md 3.6 KB
- references/clustering/typed-edges-strategy.md 4.8 KB
- references/design-refs/ai.md 8.2 KB
- references/design-refs/analytics.md 11 KB
- references/design-refs/compute.md 13 KB
- references/design-refs/database.md 12 KB
- references/design-refs/fast-path.md 10 KB
- references/design-refs/identity.md 8.3 KB
- references/design-refs/index.md 19 KB
- references/design-refs/messaging.md 17 KB
- references/design-refs/networking.md 14 KB
- references/design-refs/specialist-gates.md 7.4 KB
- references/design-refs/storage.md 7.6 KB
- references/phases/clarify/clarify-ai-only.md 19 KB
- references/phases/clarify/clarify-ai.md 12 KB
- references/phases/clarify/clarify-assemble.md 14 KB
- references/phases/clarify/clarify-compute.md 11 KB
- references/phases/clarify/clarify-database.md 15 KB
- references/phases/clarify/clarify-global.md 8.4 KB
- references/phases/clarify/clarify-identity.md 6.1 KB
- references/phases/clarify/clarify-licensing.md 8.2 KB
- references/phases/clarify/clarify.md 14 KB
- references/phases/design/design-ai.md 16 KB
- references/phases/design/design-assemble.md 3.3 KB
- references/phases/design/design-infra.md 22 KB
- references/phases/design/design.md 13 KB
- references/phases/discover/discover-anthropic-api.md 31 KB
- references/phases/discover/discover-app-code.md 18 KB
- references/phases/discover/discover-assemble.md 13 KB
- references/phases/discover/discover-iac.md 13 KB
- references/phases/discover/discover-live.md 54 KB
- references/phases/discover/discover-openai-api.md 25 KB
- references/phases/discover/discover-openrouter-api.md 46 KB
- references/phases/discover/discover.md 31 KB
- references/phases/estimate/estimate-ai.md 33 KB
- references/phases/estimate/estimate-assemble.md 28 KB
- references/phases/estimate/estimate-infra.md 66 KB
- references/phases/estimate/estimate.md 19 KB
- references/phases/feedback/feedback-assemble.md 739 B
- references/phases/feedback/feedback-collect.md 941 B
- references/phases/feedback/feedback.md 1.9 KB
- references/phases/generate/generate-artifacts-ai.md 9.6 KB
- references/phases/generate/generate-artifacts-docs.md 4.2 KB
- references/phases/generate/generate-artifacts-infra.md 33 KB
- references/phases/generate/generate-artifacts-report.md 14 KB
- references/phases/generate/generate-assemble.md 6.9 KB
- references/phases/generate/generate.md 18 KB
- references/phases/workshop/workshop-assemble.md 2.5 KB
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.
- 6d ago Changed · +21 lines b206cd28ac37
- 8d ago Changed · +7 lines 8a4a5b4c6a30
- 13d ago Changed · +22 lines a671856f5de2
- 16d ago Changed · -1 tokens per session 648cc7eabd09
- 17d ago Changed · +2 lines 9e83639b09d1
- 20d ago First seen · 222 lines · 240 tokens per session scan A 512b30735f58
azure-to-aws is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,886 stars, last pushed yesterday), licensed Apache-2.0. It adds 239 tokens to every session and 5,106 once invoked, about $0.0010 per session on Opus 5.5. 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 2026-09-26.
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