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 agents-hardengit 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/agents-harden)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/agents-harden"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/agents-harden/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/agents-harden"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/agents-harden.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
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 →
- low Privilege Escalation · line 122 Skill requests more permissions than appear necessary for its stated functionality. Review if elevated access is justified.Fix: Request only the minimum permissions required. Document why each permission is needed. Remove broad permissions like '*' or 'all'.
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 | $0.00204 | $0.07300 |
| Opus 5 | $0.00102 | $0.03650 |
| Sonnet 5 | $0.00041 | $0.01460 |
| Haiku 4.5 | $0.00020 | $0.00730 |
Grade A, and why
agents-harden 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 9d 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 — 705 lines — stays where its author put it; the contents beside it link to each section on GitHub.
harden
Prepare your AgentCore agent for production — security, reliability, and performance.
When to use
- You're about to take an agent to production
- You want a checklist of what to review before launch
- You want to restrict who can call your agent
- You want to scope down IAM permissions from the defaults
- You're hitting throttling or quota errors (loads
references/limits.md) - You need to tune session lifecycle for your workload
- You're running long-running background work in your agent
Input
No arguments required. The skill reads your project config and produces a checklist with specific findings for your project.
Process
Step 0: Verify CLI version
Run agentcore --version. This skill requires v0.9.0 or later. If the version is older, tell the developer to run agentcore update before proceeding.
Step 1: Read the project
Read agentcore/agentcore.json to understand:
- What resources are configured (memory, gateway, credentials, evaluators)
- What framework is being used
- What network mode is configured (PUBLIC or VPC)
Step 2: Run through the checklist
Work through each category and report findings specific to the project.
IAM: Scope down permissions
The auto-created execution role has broad Bedrock access (arn:aws:bedrock:*::foundation-model/*). For production, scope it to the specific models your agent uses.
Check the current execution role:
agentcore status --json | jq -r '.runtimes[0].executionRoleArn'
Recommended production Bedrock policy:
{
"Effect": "Allow",
"Action": [
"bedrock:InvokeModel",
"bedrock:InvokeModelWithResponseStream"
],
"Resource": [
"arn:aws:bedrock:<REGION>::foundation-model/anthropic.claude-sonnet-4-5-20250929-v1:0"
]
}
Replace the resource ARN with the specific model(s) your agent uses.
ECR access: Scope to your specific repository:
{
"Effect": "Allow",
"Action": ["ecr:BatchGetImage", "ecr:GetDownloadUrlForLayer"],
"Resource": "arn:aws:ecr:<REGION>:<YOUR_ACCOUNT_ID>:repository/bedrock-agentcore-<AGENT_NAME>-*"
}
What ships with it
1 file 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.
- 9d ago First seen · 705 lines · 204 tokens per session scan A 6207879b9d76
agents-harden is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,559 stars, last pushed today), licensed Apache-2.0. It adds 204 tokens to every session and 7,300 once invoked, about $0.0010 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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