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Run an automated security assessment — find internet-exposed resources, attack paths, and network vulnerabilities.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Deep code scan for AI security issues — prompt injection, PII in prompts, hardcoded keys, unguarded agents.
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Scan cloud accounts and GitHub repos to discover AI/ML services and build an AI system inventory.
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Paste a vendor's domain. Get a security risk assessment in 60 seconds.
| name | pentest |
| description | Run an automated security assessment — find internet-exposed resources, attack paths, and network vulnerabilities. |
| user-invocable | true |
Run an automated security assessment to find internet-exposed resources and attack paths.
Read shasta.config.json for python_cmd. Use that for all commands (shown as <PYTHON_CMD>).
Run the assessment:
<PYTHON_CMD> -c "
import json
from shasta.config import get_aws_client
from shasta.aws.pentest import run_security_assessment, save_pentest_report
client = get_aws_client()
client.validate_credentials()
print('Running automated security assessment...')
report = run_security_assessment(client)
path = save_pentest_report(report)
print(json.dumps({
'report_path': str(path),
'exposed_resources': len(report.exposed_resources),
'attack_paths': len(report.attack_paths),
'network_findings': len(report.network_findings),
'resources': [{
'id': r.resource_id, 'type': r.resource_type,
'exposure': r.exposure_type, 'ports': r.ports[:10],
} for r in report.exposed_resources],
'paths': report.attack_paths,
}, indent=2))
"
Present like a pen test debrief: exposed resources, attack paths with risk ratings, remediation. Recommend running quarterly for audit evidence.