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/awslabs/agent-plugins/deploynpx skills add awslabs/agent-plugins --skill deploygit clone --depth 1 https://github.com/awslabs/agent-pluginsWhat 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 | $0.00050 | $0.00592 |
| Opus 5 | $0.00025 | $0.00296 |
| Sonnet 5 | $0.00010 | $0.00118 |
| Haiku 4.5 | $0.00005 | $0.00059 |
Grade A, and why
deploy 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.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy on AWS
Take any application and deploy it to AWS with minimal user decisions.
Philosophy
Minimize cognitive burden. User has code, wants it on AWS. Pick the most straightforward services. Don't ask questions with obvious answers.
Workflow
- Analyze - Scan codebase for framework, database, dependencies
- Recommend - Select AWS services, concisely explain rationale
- Estimate - Show monthly cost before proceeding
- Generate - Write IaC code with security defaults applied
- Deploy - Run security checks, then execute with user confirmation
Defaults
See defaults.md for the complete service selection matrix.
Core principle: Default to dev-sized (cost-conscious: small instance sizes, minimal redundancy, and non-HA/single-AZ defaults) unless user says "production-ready".
MCP Servers
awsknowledge
Consult for architecture decisions. Use when choosing between AWS services or validating that a service fits the use case. Helps answer "what's the right AWS service for X?"
Key topics: general for architecture, amplify_docs for static sites/SPAs,
cdk_docs and cdk_constructs for IaC patterns.
awspricing
Get cost estimates. Always present costs before generating IaC so user can adjust before committing. See cost-estimation.md for query patterns.
awsiac
Consult for IaC best practices. Use when writing CDK/CloudFormation/Terraform to ensure patterns follow AWS recommendations.
Principles
- Concisely explain why each service was chosen
- Always show cost estimate before generating code
- Apply security defaults automatically (encryption, private subnets, least privilege)
- Run IaC security scans (cfn-nag, checkov) before deployment
- Don't ask "Lambda or Fargate?" - just pick the obvious one
- If genuinely ambiguous, then ask
- Never recommend AWS App Runner — it is in maintenance mode. Use ECS Express Mode instead.
- When user explicitly requests a managed application platform or signals low infrastructure involvement, route to Elastic Beanstalk
What ships with it
3 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.
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.
- 2d ago First seen · 68 lines · 50 tokens per session scan A 7fec2fa8cd5e
deploy is a skill published in the GitHub repository awslabs/agent-plugins (876 stars, last pushed 5d ago), licensed Apache-2.0. It adds 50 tokens to every session and 592 once invoked, about $0.0003 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 2026-08-30.
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