Skip to content
Development
Skill

/threat-modeling-with-aws-security-agent

Run an AWS Security Agent threat model review on spec/design documents. Use when the user asks to review a spec for security, run a threat model, check if a design introduces security risks, review requirements.md or design.md for security posture changes, or STRIDE analysis.

From plugin
agent-toolkit-for-aws
2.3k146 skills9 commands3 MCP
Install
$ npx -y skills add aws/agent-toolkit-for-aws --skill threat-modeling-with-aws-security-agent --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/threat-modeling-with-aws-security-agent

Context preview

The summary Claude sees to decide when to auto-load this skill.

Run an AWS Security Agent threat model review on spec/design documents. Use when the user asks to review a spec for security, run a threat model, check if a design introduces security risks, review requirements.md or design.md for security posture changes, or STRIDE analysis.

SKILL.md

threat-modeling-with-aws-security-agent.SKILL.md
name: threat-modeling-with-aws-security-agent
description: Run an AWS Security Agent threat model review on spec/design documents. Use when the user asks to review a spec for security, run a threat model, check if a design introduces security risks, review requirements.md or design.md for security posture changes, or STRIDE analysis.

AWS Security Agent — Threat Model Review

Analyze spec documents (`requirements.md`, `design.md`) against the source code to identify security-posture changes using STRIDE methodology. No prior scan needed.

Local state

Read `.security-agent/config.json` for `agent_space_id` and `region`. If missing, run the `setup-security-agent` workflow inline first.

Resolving the values you need

| 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` | | `<role-arn>` | `arn:aws:iam::<account>:role/SecurityAgentScanRole` | | `<bucket>` | `security-agent-scans-<account>-<region>` |

---

Workflow

1. **Pre-checks.** Read config, verify agent space, resolve values.

2. **Collect spec files.** Identify the `requirements.md` and/or `design.md` the user is working on. Use absolute paths. Ask if unclear which files to review.

3. **Zip the workspace** (same exclusions as code scan):

   cd <absolute-workspace-path>
   zip -r /tmp/source.zip . \
     -x ".git/*" -x ".security-agent/*" -x "node_modules/*" \
     -x "__pycache__/*" -x ".venv/*" -x "venv/*" \
     -x "dist/*" -x "build/*" -x "target/*" \
     -x ".mypy_cache/*" -x ".pytest_cache/*" -x ".tox/*" \
     -x ".next/*" -x "cdk.out/*" -x ".DS_Store" -x "*.pyc"

4. **Upload source zip:**

   SCAN_ID="tm-$(date +%s)-$(openssl rand -hex 3)"
   WORKSPACE_ID=$(printf '%s' "$(pwd)" | md5sum | cut -c1-12)
   aws s3 cp /tmp/source.zip s3://<bucket>/security-scans/source/${WORKSPACE_ID}/source.zip

5. **Upload spec files:**

   aws s3 cp /path/to/requirements.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/requirements.md
   aws s3 cp /path/to/design.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/design.md

6. **Create threat model:**

   aws securityagent create-threat-model --agent-space-id <id> --title <title> \
     --service-role <role-arn> \
     --assets sourceCode=[{s3Location=s3://<bucket>/security-scans/source/${WORKSPACE_ID}/source.zip}] \
     --scope-docs '[{"s3Location":"s3://<bucket>/security-scans/threat-models/'${SCAN_ID}'/specs/requirements.md"},{"s3Location":"s3://<bucket>/security-scans/threat-models/'${SCAN_ID}'/specs/design.md"}]'

Capture `threatModelId`.

7. **Start threat model job:**

   aws securityagent start-threat-model-job --agent-space-id <id> --threat-model-id <tm-id>

Capture `threatJobId`.

8. Persist to `scans.json` with `scan_type: "THREAT_MODEL"`.

9. Tell user: "Threat model review started. Runtime varies with workspace size. I'll check every 2 minutes — say 'stop polling' to opt out."

10. **Poll** every 2 minutes:

    aws securityagent batch-get-threat-model-jobs --agent-space-id <id> --threat-model-job-ids <tj-id>

Only respond when status changes.

11. **On COMPLETED** → fetch threats:

    aws securityagent list-threats --agent-space-id <id> --threat-job-id <tj-id>

If `nextToken`, paginate with `--next-token`.

Findings presentation

Each threat includes: `statement`, `severity`, `stride` category, `threatImpact`, `recommendation`, `impactedAssets`.

🟣 CRITICAL: {statement}
   STRIDE: {stride}
   Impact: {threatImpact}
   Assets: {impactedAssets}
   Recommendation: {recommendation}

🔴 HIGH: {statement}
   ...

Write full report to `.security-agent/findings-{scan_id}.md`. Call out any threat that represents a regression from the prior design.

---

Rules

  • Threat model reviews are standalone — no prior scan needed
  • Poll every 2 minutes, not faster
  • At least one spec file is required
  • Use absolute paths for workspace and spec files
  • Title: `threat-model-<feature-name>` (no spaces)
Read more
Ships withagent-toolkit-for-aws

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.

Get the whole plugin

Other skills on agent-toolkit-for-aws.