investigating-incidents-with-aws-devops-agent

investigating-incidents-with-aws-devops-agent is a skill for Claude Code from aws/agent-toolkit-for-aws. It costs 100 tokens per session (1,344 once invoked), scanned A, original, Apache-2.0.

An AWS incident investigation workflow for finding the likely root cause of outages, alarms, and unexplained service problems. AWS is Amazon’s cloud platform.

In plain words
What is it for?
Investigating errors such as 5xx responses, out-of-memory failures, latency spikes, failed deployments, rollbacks, and services being down.
Why use it?
It gathers relevant local project context and connects it with AWS operational information, reducing manual debugging during incidents.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the aws-agents-for-devsecops plugin — 13 skills, 9 commands, 1 MCP server shipped together

Good fit Investigating errors such as 5xx responses, out-of-memory failures, latency spikes, failed deployments, rollbacks, and services being down.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aws/agent-toolkit-for-aws/investigating-incidents-with-aws-devops-agent
About the project

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.

aws/agent-toolkit-for-aws · 2,579 stars · on GitHub

Install

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.

Any agent
npx skills add aws/agent-toolkit-for-aws --skill investigating-incidents-with-aws-devops-agent
Clone the repo
git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws

Made for: Claude Code.

Or install aws-agents-for-devsecops, the plugin that ships this one along with the rest of its 13 skills, 9 commands, 1 MCP server.

Wrote 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.

agentmods badge for investigating-incidents-with-aws-devops-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/investigating-incidents-with-aws-devops-agent/github.svg)](https://agentmods.dev/skills/aws/agent-toolkit-for-aws/investigating-incidents-with-aws-devops-agent)
Your own site
<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/investigating-incidents-with-aws-devops-agent"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/investigating-incidents-with-aws-devops-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.

agentmods 80×15 button for investigating-incidents-with-aws-devops-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/investigating-incidents-with-aws-devops-agent"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/investigating-incidents-with-aws-devops-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,344 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Jun 2026
  • Snyk pass 18 Jun 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, 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 Excessive Agency · line 142
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00100 $0.01344
Opus 5 $0.00050 $0.00672
Sonnet 5 $0.00020 $0.00269
Haiku 4.5 $0.00010 $0.00134

Measured 12d ago against content hash b4ac858364ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

investigating-incidents-with-aws-devops-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 12d 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.

plugins/aws-agents-for-devsecops/skills/investigating-incidents-with-aws-devops-agent/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Investigate an AWS incident

AgentSpace routing (SigV4 only): If list_agent_spaces is available in your tool list and the multi-space orchestration skill has NOT been invoked yet this session, invoke it first to determine which agent_space_id to use. Then pass agent_space_id on all tool calls below. For bearer token auth this is unnecessary — the token is already scoped to one space.

Use this when the user is reporting or describing an operational problem that needs deep async analysis (5–8 minutes of agent work). For fast questions about cost, architecture, or topology, use the chatting-with-aws-devops-agent skill instead.

Pre-flight

Before starting an investigation, gather local context and pack it into the title parameter. This is the killer feature — the DevOps Agent knows your AWS cloud; you know the user's local workspace.

Always collect:

  • Service identity from package.json / pom.xml / Cargo.toml / requirements.txt / Makefile
  • git log --oneline -10 (recent commits — agent correlates deploys to incidents)
  • git diff --stat (uncommitted work that might be relevant)

When investigating errors, also include:

  • The full stack trace or relevant log excerpt
  • Any IaC files relevant to the failing resource (CDK / CloudFormation / Terraform / ECS task def)

Start the investigation

aws_devops_agent__investigate(
    title="ECS 503 errors on checkout-service since commit abc1234 deployed 2h ago. CDK: ECS Fargate behind ALB. Error: upstream connect error."
)
→ {"status": "investigation_started", "taskId": "...", "executionId": "...", "message": "...", "next_steps": "..."}

Save the taskId and executionId.

Tip: Pack as much context as possible into the title — service name, error type, time window, recent deploys. The agent uses this to scope its analysis.

Stream progress — never silently poll

Investigations take 5–8 minutes. Tell the user up front, then keep them informed.

Loop every 30–45 seconds:

Read the full file on GitHub · 145 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 145 lines · 100 tokens per session scan A b4ac858364ff

Subscribe to this mod's changes

investigating-incidents-with-aws-devops-agent 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 100 tokens to every session and 1,344 once invoked, about $0.0005 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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