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Pentesting With Aws Security Agent

OrganizationPopular
aws
pentesting-with-aws-security-agent

Run an AWS Security Agent penetration test against a live web application — registers and verifies the target domain, exercises the supplied endpoints with the managed Security Agent service, and returns verified runtime findings. Use when the user asks to pentest, run a penetration test, test their app's attack surface, find runtime vulnerabilities, register or verify a target domain, or check pentest status / findings.

Overview

Publisheraws
Repositoryagent-toolkit-for-aws
Skill namepentesting-with-aws-security-agent
Stars
2.7K
Forks
311
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by aws on GitHub. Read the source before you install it.

Installation

Install the Pentesting With Aws Security Agent AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git /tmp/agent-toolkit-for-aws
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit-for-aws/plugins/aws-agents-for-devsecops/skills/pentesting-with-aws-security-agent .claude/skills/pentesting-with-aws-security-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pentesting With Aws Security Agent in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pentesting With Aws Security Agent on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pentesting With Aws Security Agent is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS Security Agent — Penetration Test

This skill handles pentest setup, execution, and findings. Initial Security Agent setup (agent space, role, bucket) is handled by the setup-security-agent skill — if .security-agent/config.json is missing, the pentest workflow auto-runs setup inline first.

Pentests are slow (1-24 hours) and active — they probe a real running app. Always confirm the user is authorized to test the target before starting.


Resolving the values you need

The CLI examples below use placeholders. Resolve them at the start of every pentest:

PlaceholderHow 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 (cache for the rest of the turn)
<role-arn>arn:aws:iam::<account>:role/SecurityAgentScanRole
<td-id>targetDomainId returned by create-target-domain (cache under config.target_domains[<domain>])
<pentest-id>pentestId returned by create-pentest
<pj-id>pentestJobId returned by start-pentest-job

Pre-pentest checks

  1. Read .security-agent/config.json. If missing → tell the user one line — "First pentest in this workspace — running setup first." — and run the setup-security-agent workflow inline before continuing.

  2. Verify agent space still exists:

    bash
    aws securityagent batch-get-agent-spaces --agent-space-ids <id>

    If missing, clear agent_space_id from config.json and run setup-security-agent again.

  3. Resolve account and role ARN from the table above.

  4. Authorization check: ask the user "Do you own or have explicit permission to pentest <target>?" if it's not obvious from context. Do not proceed without confirmation.


Workflow

1. Register target domain (one-time per domain)

bash
aws securityagent create-target-domain --agent-space-id <id> \
  --target-domain-name <domain> --verification-method HTTP_ROUTE

The response includes a verification token / route. Tell the user what to put on their server (typically a .well-known/... file or HTTP route returning a token), then:

bash
aws securityagent verify-target-domain --agent-space-id <id> --target-domain-id <td-id>

Persist the verified target_domain_id in .security-agent/config.json under target_domains: { "<domain>": "<td-id>" } so future pentests can reuse it.

2. Create a pentest

Ask the user for:

  • Title (no spaces — use hyphens; default pentest-<timestamp>)
  • Endpoints to test (one or more URIs under the verified domain)
bash
aws securityagent create-pentest --agent-space-id <id> --title <title> \
  --service-role <role-arn> \
  --assets endpoints=[{uri=https://example.com/api/login},{uri=https://example.com/api/upload}]

Capture pentestId.

3. Start the pentest job

bash
aws securityagent start-pentest-job --agent-space-id <id> --pentest-id <pentest-id>

Capture pentestJobId. Append to .security-agent/pentests.json (create as [] if it doesn't exist yet — the directory itself is already created by setup):

json
{
  "pentest_id": "p-...",
  "pentest_job_id": "pj-...",
  "agent_space_id": "as-...",
  "title": "pentest-...",
  "endpoints": ["https://..."],
  "started_at": "2026-06-01T20:00:00Z",
  "status": "IN_PROGRESS"
}

Tell user: "Pentest started ({pentest_job_id}). Pentests typically run 1-24 hours depending on scope. I'll check every 15 minutes — say 'stop polling' to opt out."

4. Polling loop

  1. sleep 900 (15 minutes) between checks. Do not poll faster.

  2. Status:

    bash
    aws securityagent batch-get-pentest-jobs --agent-space-id <id> --pentest-job-ids <pj-id>
  3. Only respond when status changes or on terminal state (COMPLETED, FAILED, STOPPED).

  4. On COMPLETED → run the Findings workflow.

5. Findings

bash
aws securityagent list-findings --agent-space-id <id> --pentest-job-id <pj-id>

If nextToken is returned, call again with --next-token <token> until empty.

bash
aws securityagent batch-get-findings --agent-space-id <id> --finding-ids <id1> <id2> ...

Present in chat grouped by severity (same icons + format as code scans):

🟣 CRITICAL: {name}
   Endpoint: {endpoint}
   {description}

Write a full report to .security-agent/pentest-{pentest_job_id}.md with every field returned (findingId, name, description, riskLevel, riskType, confidence, status, endpoint, request/response samples if present, and remediationCode if present).

Tell user: "Full details written to .security-agent/pentest-{pentest_job_id}.md"

6. Stop a pentest

bash
aws securityagent stop-pentest-job --agent-space-id <id> --pentest-job-id <pj-id>

Rules

  • Always confirm authorization to test the target before starting
  • Verify the target domain before creating a pentest — create-pentest will fail otherwise
  • Reuse a verified target_domain_id from config.json instead of re-verifying
  • Pentest titles must not contain spaces — use hyphens
  • Poll every 15 minutes max — pentests are long-running
  • Don't auto-restart a failed pentest — show the failure to the user first

Troubleshooting

  • ValidationException on verify-target-domain → the verification route isn't responding correctly yet. Ask user to confirm the route is live and serving the expected token.
  • target domain not verified → run verify-target-domain (step 1) again.
  • Pentest stuck in IN_PROGRESS for >24 hours → likely a backend issue or the target is unreachable. Stop and inspect.
  • AccessDenied on the service role → the service role doesn't have the network/runtime permissions a pentest needs. The default SecurityAgentScanRole is for code scans only — pentests against AWS resources may need broader permissions. Direct user to the AWS Security Agent console to configure a pentest-specific role.

Frequently asked questions

What does the Pentesting With Aws Security Agent AI skill do?

Run an AWS Security Agent penetration test against a live web application — registers and verifies the target domain, exercises the supplied endpoints with the managed Security Agent service, and returns verified runtime findings. Use when the user asks to pentest, run a penetration test, test their app's attack surface, find runtime vulnerabilities, register or verify a target domain, or check pentest status / findings.

Why use Pentesting With Aws Security Agent on TypingMind?

Because you install it once and use it with any model. Pentesting With Aws Security Agent is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pentesting With Aws Security Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aws/agent-toolkit-for-aws/tree/main/plugins/aws-agents-for-devsecops/skills/pentesting-with-aws-security-agent. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pentesting With Aws Security Agent?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pentesting With Aws Security Agent?

As many as you like. As long as a model supports skills, you can use Pentesting With Aws Security Agent with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pentesting With Aws Security Agent AI skill free?

Yes. It is published on GitHub by aws under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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