/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.
$ npx -y skills add aws/agent-toolkit-for-aws --skill threat-modeling-with-aws-security-agent --agent claude-codeHow it fires
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- 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.mdname: 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/${WORKSPACE_ID}/source.zip5. **Upload spec files:**
aws s3 cp /path/to/requirements.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/requirements.md
aws s3 cp /path/to/design.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/design.md6. **Create threat model:**
aws securityagent create-threat-model --agent-space-id <id> --title <title> \
--service-role <role-arn> \
--assets sourceCode=[{s3Location=s3://<bucket>/security-scans/source/${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
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/${WORKSPACE_ID}/source.zip5. **Upload spec files:**
aws s3 cp /path/to/requirements.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/requirements.md
aws s3 cp /path/to/design.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/design.md6. **Create threat model:**
aws securityagent create-threat-model --agent-space-id <id> --title <title> \
--service-role <role-arn> \
--assets sourceCode=[{s3Location=s3://<bucket>/security-scans/source/${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)
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.
Repo: aws/agent-toolkit-for-aws
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