analyzing-release-read…
Trigger a pre-merge release readiness review on a GitHub PR, GitLab MR, or local branch. Use when the user wants to analyze code…
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
Claude Code
$ npx -y skills add aws/agent-toolkit-for-aws --skill pentesting-with-aws-security-agent --agent claude-code
Codex
$ npx skills add aws/agent-toolkit-for-aws --skill pentesting-with-aws-security-agent -a codex -y
Cursor
$ npx skills add aws/agent-toolkit-for-aws --skill pentesting-with-aws-security-agent -a cursor -y
Gemini CLI
$ npx skills add aws/agent-toolkit-for-aws --skill pentesting-with-aws-security-agent -a gemini-cli -y
GitHub Copilot
$ npx skills add aws/agent-toolkit-for-aws --skill pentesting-with-aws-security-agent -a github-copilot -y
OpenCode
$ npx skills add aws/agent-toolkit-for-aws --skill pentesting-with-aws-security-agent -a opencode -y
Windsurf
$ npx skills add aws/agent-toolkit-for-aws --skill pentesting-with-aws-security-agent -a windsurf -y
name: pentesting-with-aws-security-agent description: 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.
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.
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The CLI examples below use placeholders. Resolve them at the start of every pentest:
| Placeholder | How 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` |
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:**
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.
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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:
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.
Ask the user for:
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`.
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):
{
"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."
1. `sleep 900` (15 minutes) between checks. Do not poll faster. 2. Status:
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.
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.
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`"
aws securityagent stop-pentest-job --agent-space-id <id> --pentest-job-id <pj-id>
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Help AI coding agents build, deploy, and manage applications on AWS. The Agent Toolkit for AWS gives AI coding agents the tools, knowledge, and guardrails they need to work with AWS services.
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