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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.

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SKILL.md
Quality
Evals
Security

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

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
<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)
Repository
aws/agent-toolkit-for-aws
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