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 aws-marketplace-meteringgit 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/aws-marketplace-metering)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/aws-marketplace-metering"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/aws-marketplace-metering/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/aws-marketplace-metering"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/aws-marketplace-metering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00221 | $0.17197 |
| Opus 5.5 | $0.00088 | $0.06879 |
| Sonnet 5.5 | $0.00044 | $0.03439 |
| Haiku 4.5 | $0.00022 | $0.01720 |
Grade C, and why
aws-marketplace-metering scanned grade C 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 21d 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
**Capability boundary (state it; don't return a bounded answer as authoritative).** This query **USES** CloudTrail Event History (`LookupEvents`) in the seller's region, last ≤90 days, **page-bounded and processed in mem How it starts
The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Marketplace Metering
Overview
Complete lifecycle management for AWS Marketplace usage-based metering:
- Setup (SaaS PAYG) — deploy a new serverless metering integration (SAM, ResolveCustomer, BatchMeterUsage, EventBridge).
- Query — find, inspect, debug, analyze existing metering submissions (CloudTrail Event History ≤90 days; Seller Reports for billed history).
Scope is SaaS Usage-based (PAYG). SaaS Contract, Contract with Consumption Pricing (CCP), and AMI/Container are out of scope — redirect to public AWS docs.
Recommended: the AWS MCP server provides sandboxed execution and audit logging.
⚠️ AI-generated output — review before production. This skill is executed by an AI agent and can make mistakes. Everything it generates (CloudFormation/SAM templates, Lambda handlers, IAM policies,
deploy.sh) and everything it deploys to a seller's AWS account MUST be treated as a proposal to review, not a trusted artifact. Before any deployed stack carries PRODUCTION metering traffic (real billing), the seller MUST:
- Thoroughly review every resource the skill created or changed — templates, Lambda code, IAM roles/policies (least-privilege, no unintended grants), tables/indexes, queues, alarms — in their own account, and confirm it matches their intent and their org's standards. Metering errors directly affect revenue (under- or over-billing), so this review is not optional.
- Put the generated code through the seller's normal code review + change-management process (do not ship AI output straight to production), and
- Run the full hands-on test plan (
references/test-plan.md) end-to-end and verify each expected observable outcome BEFORE relying on the integration for real billing. The skill SHALL surface this review-before-production expectation to the seller, and SHALL NOT imply that a successful deploy means the integration is production-ready without this review + test.
Using this skill's packaged resources
What ships with it
30 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.
- assets/requirements.txt 14 B
- assets/template-events.yaml 27 KB
- assets/template-main.yaml 82 KB
- references/architecture.md 14 KB
- references/client-side-guardrails.md 10 KB
- references/concurrent-agreements.md 15 KB
- references/deployment-steps.md 20 KB
- references/dimension-reference.md 1.7 KB
- references/existing-sellers.md 7.4 KB
- references/iam-credentials.md 26 KB
- references/query-path.md 12 KB
- references/query-patterns.md 16 KB
- references/registration-page.md 4.9 KB
- references/scalable-metering-design.md 37 KB
- references/seller-reports.md 6.8 KB
- references/setup-path.md 29 KB
- references/test-plan.md 8.1 KB
- references/troubleshooting.md 19 KB
- scripts/aggregator.py 9.0 KB runs code
- scripts/cleanup.py 5.1 KB runs code
- scripts/deploy.sh 27 KB runs code
- scripts/deprovision_cleanup.py 4.5 KB runs code
- scripts/discoverer.py 13 KB runs code
- scripts/expiry.py 6.0 KB runs code
- scripts/metering_core.py 38 KB runs code
- scripts/query_metering.py 25 KB runs code
- scripts/register.py 12 KB runs code
- scripts/submitter.py 15 KB runs code
- scripts/subscription.py 14 KB runs code
- scripts/test_event_publisher.py 12 KB runs code
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.
- 21d ago First seen · 365 lines · 221 tokens per session scan C 367476fb17fb
aws-marketplace-metering 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 221 tokens to every session and 17,197 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-25.
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