executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
evidence-artifact-collectorGenerates CLI commands and API scripts to collect point-in-time evidence for audit controls. Automates evidence gathering from cloud providers (AWS, Azure, GCP) and outputs formatted reports.
Independent GitHub snapshot · Automated classification · Original documentation governs
Generates scripts to collect audit evidence from cloud infrastructure. Automates the most labor-intensive part of compliance - evidence gathering.
Generate AWS evidence script:
node plugins/grc-engineer/scripts/collect-evidence.js "MFA for all root users" aws
Generate Azure evidence script:
node plugins/grc-engineer/scripts/collect-evidence.js "All storage accounts encrypted" azure
Generate GCP evidence script:
node plugins/grc-engineer/scripts/collect-evidence.js "IAM bindings audit" gcp
#!/usr/bin/env python3
"""
Evidence Collection Script
Control: MFA for all root users
Provider: AWS
Generated: 2025-01-15T10:30:00Z
"""
import boto3
import json
from datetime import datetime
iam = boto3.client('iam')
def collect_mfa_evidence():
"""Collect evidence for MFA requirement on root users."""
evidence = {
"control": "MFA for all root users",
"timestamp": datetime.utcnow().isoformat(),
"results": []
}
# Get account summary
summary = iam.get_account_summary()
mfa_enabled = summary['SummaryMap'].get('AccountMFAEnabled', 0)
evidence["results"].append({
"check": "Root account MFA status",
"status": "PASS" if mfa_enabled == 1 else "FAIL",
"details": f"MFA Enabled: {mfa_enabled == 1}"
})
return evidence
if __name__ == "__main__":
result = collect_mfa_evidence()
print(json.dumps(result, indent=2))