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 troubleshooting-application-failuresgit 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/troubleshooting-application-failures)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/troubleshooting-application-failures"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/troubleshooting-application-failures.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00049 | $0.00248 |
| Opus 5 | $0.00024 | $0.00124 |
| Sonnet 5 | $0.00010 | $0.00050 |
| Haiku 4.5 | $0.00005 | $0.00025 |
Grade A, and why
troubleshooting-application-failures 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 4d 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.
What it actually says
Application Failure Troubleshooting
Overview
Domain expertise for diagnosing application failures through CloudWatch log analysis. Discovers relevant log groups, searches for error patterns and stack traces, performs root cause analysis, and generates prioritized remediation recommendations.
Troubleshoot a failing application
To diagnose and resolve application failures using CloudWatch logs, follow the procedure exactly. See Application failure troubleshooting procedure.
Troubleshooting
No log groups found
Ask the user for specific log group names. Common patterns: /aws/lambda/function-name,
/aws/apigateway/api-name, or custom application log groups.
Access denied errors
Verify AWS credentials have logs:DescribeLogGroups, logs:DescribeLogStreams,
logs:StartQuery, and logs:GetQueryResults permissions.
Query timeouts
Reduce the time window or limit results. Large log groups may require multiple smaller queries.
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.
- 4d ago First seen · 35 lines · 49 tokens per session scan A 65e66a1dfd80
troubleshooting-application-failures is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,550 stars, last pushed 3d ago), licensed Apache-2.0. It adds 49 tokens to every session and 248 once invoked, about $0.0002 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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