使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/aws/agent-toolkit-for-aws --skill threat-modeling-with-aws-security-agent开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
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
- Pre-checks. Read config, verify agent space, resolve values.
- Collect spec files. Identify the
requirements.mdand/ordesign.mdthe user is working on. Use absolute paths. Ask if unclear which files to review.
- Zip the workspace (same exclusions as code scan):
bash
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"- Upload source zip:
bash
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/${WORKSPACE_ID}/source.zip --expected-bucket-owner <account>- Upload spec files:
bash
aws s3 cp /path/to/requirements.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/requirements.md --expected-bucket-owner <account>
aws s3 cp /path/to/design.md s3://<bucket>/security-scans/threat-models/${SCAN_ID}/specs/design.md --expected-bucket-owner <account>- Create threat model:
bash
aws securityagent create-threat-model --agent-space-id <id> --title <title> \
--service-role <role-arn> \
--assets sourceCode=[{s3Location=s3://<bucket>/security-scans/source/${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.
- Start threat model job:
bash
aws securityagent start-threat-model-job --agent-space-id <id> --threat-model-id <tm-id>Capture threatJobId.
- Persist to
scans.jsonwithscan_type: "THREAT_MODEL".
- Tell user: "Threat model review started. Runtime varies with workspace size. I'll check every 2 minutes — say 'stop polling' to opt out."
- Poll every 2 minutes:
bash
aws securityagent batch-get-threat-model-jobs --agent-space-id <id> --threat-model-job-ids <tj-id>Only respond when status changes.
- On COMPLETED → fetch threats:
bash
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)
