scanning-with-aws-security-agent

por aws

Execute uma varredura do AWS Security Agent no workspace — envia o código-fonte para a AWS, realiza a varredura com o serviço gerenciado Security Agent e retorna resultados classificados e verificados…

npx skills add https://github.com/aws/agent-toolkit-for-aws --skill scanning-with-aws-security-agent

AWS Security Agent — Code Scans

This skill handles full repository scans. Setup (agent space, role, bucket) is handled by the setup-security-agent skill — if .security-agent/config.json is missing, the scan workflow auto-runs setup inline first.


Action mapping

User intentWorkflow
Direct scan request ("scan my code", "find vulnerabilities")Full Scan
Scan status check ("how's the scan", "progress")Status workflow
View findings ("what did it find", "show results")Findings workflow
List scans ("recent scans", "show my scans")Read .security-agent/scans.json
Stop a scanaws securityagent stop-code-review-job

Rules for proactive suggestions

  • Always ask before running — never auto-trigger scans
  • Single-line suggestions, not multi-paragraph pitches
  • If the user declines, do not bring it up again in the same session

Local state

Read .security-agent/config.json for agent_space_id and region. If config.json is missing, tell the user one line — "First scan in this workspace — running setup first." — and run the setup-security-agent workflow inline (steps from that skill's SKILL.md) before continuing. First-time scans should "just work."

Track scans in .security-agent/scans.json (keep last 50 entries). The per-workspace CodeReview ID is stored in config.json → code_reviews[<abs_path>] so subsequent scans reuse the same CodeReview.

Resolving the values you need

The CLI examples below use placeholders. Resolve them at the start of every scan:

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 (cache for the rest of the turn)
<role-arn>arn:aws:iam::<account>:role/SecurityAgentScanRole
<bucket>security-agent-scans-<account>-<region>
<cr-id>code_review_id from config.json → code_reviews[<abs_path>]
<job_id>codeReviewJobId returned by start-code-review-job
<WORKSPACE_ID>printf '%s' "$(pwd)" | md5sum | cut -c1-12

These are derived rather than stored in config so they can never drift out of sync with reality.


Pre-scan checks

  1. Read config.json. If missing → run the setup-security-agent workflow inline first, then continue.

  2. Verify agent space still exists:

    aws securityagent batch-get-agent-spaces --agent-space-ids <id>
    

    If response shows it doesn't exist, clear agent_space_id from config.json and run setup-security-agent again.

  3. Resolve account, role ARN, and bucket name from the table above.

  4. Generate workspace ID:

    WORKSPACE_ID=$(printf '%s' "$(pwd)" | md5sum | cut -c1-12)
    

Workflow: Full Scan (~45 min)

For scanning only changed code, use the diff-scanning-with-aws-security-agent skill instead. For threat modeling specs, use threat-modeling-with-aws-security-agent.

  1. Run pre-scan checks above.

  2. Zip the workspace. Exclude common build/cache directories. Honor .gitignore. Bail if zip > 2 GB.

    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 "Thumbs.db" \
      -x "*.pyc" -x "*.pyo"
    ZIP_BYTES=$(stat -f%z /tmp/source.zip 2>/dev/null || stat -c%s /tmp/source.zip)
    if [ "$ZIP_BYTES" -gt 2147483648 ]; then echo "Zip too large (>2GB)"; exit 1; fi
    
  3. Upload to the per-workspace stable key (overwrites any prior upload):

    aws s3 cp /tmp/source.zip s3://<bucket>/security-scans/source/<WORKSPACE_ID>/source.zip
    
  4. Get or create the per-workspace CodeReview. Look up config.json → code_reviews[<abs_path>].

    • If present, use that code_review_id.

    • If absent, create:

      aws securityagent create-code-review --agent-space-id <id> --title <title> \
        --service-role <role-arn> \
        --assets sourceCode=[{s3Location=s3://<bucket>/security-scans/source/<WORKSPACE_ID>/source.zip}]
      

      Capture codeReviewId and persist to config.json → code_reviews[<abs_path>].

    • Title default: pre-cr-<git-branch> (use git rev-parse --abbrev-ref HEAD). Replace any spaces with hyphens.

  5. Start the job:

    aws securityagent start-code-review-job --agent-space-id <id> --code-review-id <cr-id>
    
    • If the response is ResourceNotFoundException: the CodeReview was deleted externally. Recreate it (step 4) and retry.
  6. Capture codeReviewJobId. Generate a local scan_id like scan-<8-hex>. Append to scans.json:

    {
      "scan_id": "scan-...",
      "code_review_id": "cr-...",
      "job_id": "cj-...",
      "agent_space_id": "as-...",
      "scan_type": "FULL",
      "title": "pre-cr-main",
      "path": "/abs/path",
      "started_at": "2026-06-01T20:00:00Z",
      "status": "IN_PROGRESS"
    }
    
  7. Tell user: "Full scan started (scan_id: {id}). Takes ~45 minutes. I'll check every 5 minutes — say 'stop polling' to opt out."

  8. Run the Polling Loop below with sleep 300 between checks.


Polling Loop

After starting a scan:

  1. sleep 300 (5 minutes). Do not poll faster than this.

  2. Call status:

    aws securityagent batch-get-code-review-jobs --agent-space-id <id> --code-review-job-ids <job_id>
    
  3. Compare status to last seen status. Only respond to the user when status CHANGES (e.g., IN_PROGRESSCOMPLETED) or on terminal state (COMPLETED, FAILED, STOPPED).

  4. Do not report "still in progress" multiple times — that's noise.

  5. If user says "stop polling" or "check later" → stop the loop and tell them: "Say 'scan status' or 'show findings' anytime."

  6. On COMPLETED → run the Findings workflow.

  7. On FAILED → fetch the job's error info (statusReason if present), tell the user, write a brief failure note to .security-agent/findings-{scan_id}.md.


Workflow: Status check (ad-hoc)

User says "scan status" / "how's the scan":

  1. If user names a scan_id, use it. Otherwise use the most recent entry in scans.json.
  2. Call batch-get-code-review-jobs once.
  3. Update scans.json status field.
  4. Report: status + elapsed time + current step (if any).

Workflow: Findings

After a scan completes (or on user request):

1. Fetch findings (paginate)

aws securityagent list-findings --agent-space-id <id> --code-review-job-id <job-id>

If nextToken is returned, call again with --next-token <token> until exhausted.

2. Enrich with full details

aws securityagent batch-get-findings --agent-space-id <id> --finding-ids <id1> <id2> ...

3. Filter (optional)

If the user asked for a minimum severity (e.g., "high and above"), filter to that level:

  • Severity order: CRITICAL > HIGH > MEDIUM > LOW > INFORMATIONAL.

4. Concise summary in chat

Group by severity. File path + line for each:

🟣 CRITICAL: {name}
   File: {filePath}:{lineStart}
   {description}

🔴 HIGH: {name}
   File: {filePath}:{lineStart}
   {description}

🟡 MEDIUM: {name}
   File: {filePath}:{lineStart}
   {description}

🟢 LOW: {name}
   File: {filePath}:{lineStart}
   {description}

5. Detailed report file

Write to .security-agent/findings-{scan_id}.md. Include EVERY field returned (findingId, name, description, riskLevel, riskType, confidence, status, codeLocations with filePath/lineStart/lineEnd, and remediationCode if present).

# Security Scan Report — {scan_id}

**Scan type**: FULL
**Title**: {title}
**Started**: {started_at}
**Total findings**: {count}

## Summary
| Severity | Count |
|----------|-------|
| CRITICAL | N |
| HIGH | N |
| MEDIUM | N |
| LOW | N |

## Findings

### 🟣 CRITICAL: {name}
- **ID**: {findingId}
- **Risk type**: {riskType}
- **Confidence**: {confidence}
- **Status**: {status}
- **Location**: `{filePath}:{lineStart}-{lineEnd}`

**Description**: {description}

**Remediation**:
{remediationCode or remediation guidance from description}

(repeat for every finding)

Tell user: "Full details written to .security-agent/findings-{scan_id}.md"

6. Follow-ups

Ask:

  • "Would you like to focus on the critical/high findings first?"
  • "Should I explain any of these in more detail?"
  • "Want me to fix these issues?"

For fixes: read the finding's description and code location, then synthesize and apply the fix via the Edit tool.


Workflow: Stop a scan

User says "stop the scan":

aws securityagent stop-code-review-job --agent-space-id <id> --code-review-job-id <job_id>

Update scans.json status to STOPPED.


Workflow: List recent scans

User asks "show my recent scans" / "list scans":

Read .security-agent/scans.json. Show in a compact table:

scan_idtypetitlestatusstarted
scan-abcFULLpre-cr-mainCOMPLETED2h ago
scan-defFULLpre-cr-feature-xFAILED1d ago

Rules

  • Always run pre-scan checks (config exists + agent space verified) before any scan
  • Scan APIs return immediately — poll status every 5 minutes
  • Use the most recent scan in scans.json if the user doesn't name one
  • Title must not contain spaces — use hyphens. Default to git branch name.
  • Don't dump raw JSON — format with severity icons + file locations
  • On ResourceNotFoundException from start-code-review-job, recreate the CodeReview and retry once

Troubleshooting

  • "Not configured" / config.json missing → run setup-security-agent skill first
  • AccessDenied on s3 cp → bucket not registered on agent space, or trust policy wrong. Re-run setup.
  • ResourceNotFoundException on agent space → it was deleted. Re-run setup.
  • Scan stuck in PREFLIGHT for >10 min → backend issue, not client. Show batch-get-code-review-jobs output and tell user to escalate.
  • Code too large (zip > 2 GB) → run on a subdirectory instead.

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