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 threat-modeling-with-aws-security-agentgit 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/threat-modeling-with-aws-security-agent)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/threat-modeling-with-aws-security-agent"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/threat-modeling-with-aws-security-agent/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/threat-modeling-with-aws-security-agent"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/threat-modeling-with-aws-security-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 49 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
- medium Data Exfiltration · line 55 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
- medium Data Exfiltration · line 56 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
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 | $0.00064 | $0.01194 |
| Opus 5 | $0.00032 | $0.00597 |
| Sonnet 5 | $0.00013 | $0.00239 |
| Haiku 4.5 | $0.00006 | $0.00119 |
Grade A, and why
threat-modeling-with-aws-security-agent 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 today.
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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Security Agent — Threat Model Review
Analyze spec documents (requirements.md, design.md) against the source code to identify security-posture changes using STRIDE methodology. No prior scan needed.
Local state
Read .security-agent/config.json for agent_space_id and region. If missing, run the setup-security-agent workflow inline first.
Resolving the values you need
| Placeholder | How to resolve |
|---|---|
<id> (agent space) |
config.agent_space_id |
<region> |
config.region (default us-east-1) |
<account> |
aws sts get-caller-identity --query Account --output text |
<role-arn> |
arn:aws:iam::<account>:role/SecurityAgentScanRole |
<bucket> |
security-agent-scans-<account>-<region> |
Workflow
-
Pre-checks. Read config, verify agent space, resolve values.
-
Collect spec files. Identify the
requirements.mdand/ordesign.mdthe user is working on. Use absolute paths. Ask if unclear which files to review. -
Zip the workspace (same exclusions as code scan):
cd <absolute-workspace-path> zip -r /tmp/source.zip . \ -x ".git/*" -x ".security-agent/*" -x "node_modules/*" \ -x "__pycache__/*" -x ".venv/*" -x "venv/*" \ -x "dist/*" -x "build/*" -x "target/*" \ -x ".mypy_cache/*" -x ".pytest_cache/*" -x ".tox/*" \ -x ".next/*" -x "cdk.out/*" -x ".DS_Store" -x "*.pyc" -
Upload source zip:
SCAN_ID="tm-$(date +%s)-$(openssl rand -hex 3)" WORKSPACE_ID=$(printf '%s' "$(pwd)" | md5sum | cut -c1-12) aws s3 cp /tmp/source.zip s3://<bucket>/security-scans/source/${WORKSPACE_ID}/source.zip --expected-bucket-owner <account> -
Upload spec files:
aws s3 cp /path/to/requirements.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/requirements.md --expected-bucket-owner <account> aws s3 cp /path/to/design.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/design.md --expected-bucket-owner <account>
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.
- today Changed d46f34c06ffe
- 11d ago First seen · 124 lines · 64 tokens per session scan A 8b9ae511e1b7
threat-modeling-with-aws-security-agent is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,579 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 1,194 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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