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Evidence Artifact Collector
ASecurityGenerates 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.
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- Added May 28, 2026
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[](https://www.skillsdirectory.com/skills/grcengclub-evidence-artifact-collector)---
name: evidence-artifact-collector
description: Generates 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.
allowed-tools: Bash, Read, Glob, Write, Edit
---
# Evidence Artifact Collector
Generates scripts to collect audit evidence from cloud infrastructure. Automates the most labor-intensive part of compliance - evidence gathering.
## Quick Commands
**Generate AWS evidence script:**
```bash
node plugins/grc-engineer/scripts/collect-evidence.js "MFA for all root users" aws
```
**Generate Azure evidence script:**
```bash
node plugins/grc-engineer/scripts/collect-evidence.js "All storage accounts encrypted" azure
```
**Generate GCP evidence script:**
```bash
node plugins/grc-engineer/scripts/collect-evidence.js "IAM bindings audit" gcp
```
## Supported Providers
- **aws** - AWS CLI and boto3 scripts
- **azure** - Azure CLI and Python SDK scripts
- **gcp** - gcloud CLI and Python SDK scripts
- **kubernetes** - kubectl commands
- **terraform** - Terraform state queries
## Output Formats
- **python** - Python script with boto3/azure-sdk/google-cloud
- **bash** - Shell script with CLI commands
- **json** - Direct API query results
- **markdown** - Formatted evidence report
- **pdf** - PDF report (requires additional dependencies)
## Example Controls
- "MFA for all root users"
- "All S3 buckets encrypted"
- "CloudTrail logging enabled"
- "Security groups restrict access"
- "IAM policies follow least privilege"
- "Database encryption at rest"
- "Network ACLs configured"
## Generated Script Features
- Point-in-time evidence collection
- Timestamped results
- Multiple output formats
- Error handling and validation
- Ready-to-run commands
## Example Output
```python
#!/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))
```
## Prerequisites
- Control description or control ID
- Optional: Cloud provider (defaults to aws)
- Optional: Output format (defaults to python)
Attribution
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