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 resilience-hub-failure-mode-assessmentgit 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/resilience-hub-failure-mode-assessment)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/resilience-hub-failure-mode-assessment"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/resilience-hub-failure-mode-assessment/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/resilience-hub-failure-mode-assessment"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/resilience-hub-failure-mode-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector 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 | $0.00112 | $0.00892 |
| Opus 5 | $0.00056 | $0.00446 |
| Sonnet 5 | $0.00022 | $0.00178 |
| Haiku 4.5 | $0.00011 | $0.00089 |
Grade A, and why
resilience-hub-failure-mode-assessment 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 7d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Failure Mode Assessment
Overview
Domain expertise for running Resilience Hub v2 failure mode assessments, interpreting findings, triaging by severity and achievability, and driving remediation.
The AWS MCP server is recommended for executing this skill's AWS API calls, but it is not required — all operations also work with the AWS CLI directly.
Guardrail — where this skill's own files live (MCP vs local install)
Before reading a reference file, determine how this skill was loaded:
- Loaded via the AWS MCP
retrieve_skilltool: the skill's reference files are not on the local filesystem. Fetch each one throughretrieve_skillwith thefileparameter (e.g.file="references/assessment-workflow.md") — do NOTfile_readthese paths locally or search the filesystem for them. - Installed locally (e.g.
.kiro/skills/resilience-hub-failure-mode-assessment/or~/.claude/skills/resilience-hub-failure-mode-assessment/): read reference files from the local skill directory using the relative paths shown here.
This applies only to the skill's own reference files; always read and write user or session data in the working directory, never through retrieve_skill.
Run and interpret assessments
To run assessments and triage findings, follow the procedure exactly. See references/assessment-workflow.md.
Troubleshooting
Assessment fails with INVALID_PERMISSIONS
The service's permission model (invokerRoleName / crossAccountRoles) doesn't have access to the resources. Verify the invoker role (and any cross-account roles) can describe resources in all configured regions.
Too many findings — where to start?
Prioritize by finding severity, highest first (HIGH, then MEDIUM, then LOW). For HIGH-severity
findings, check the service's achievability for the relevant policy component (from get-service
/ list-failure-mode-assessments): NOT_ACHIEVABLE means the architecture must change before
testing; ACHIEVABLE means validate the fix with an FIS experiment. MEDIUM findings: plan
remediation this sprint; LOW findings: track but don't block (see the priority matrix in
references/assessment-workflow.md Step 5).
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.
- 7d ago First seen · 62 lines · 112 tokens per session scan A 7717b646baa2
resilience-hub-failure-mode-assessment is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,579 stars, last pushed yesterday), licensed Apache-2.0. It adds 112 tokens to every session and 892 once invoked, about $0.0006 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 2026-09-03.
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