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Skill · Security

Security automation

Automate security workflows and remediation. Build security pipelines, automate compliance checks, and implement SOAR capabilities. Use when scaling security operations or implementing DevSecOps.

Agentic Awesome SkillsLicense: MITAdded Sep 20, 2026
Use it in my AI

How to use it

  1. Start your plan and connect your AI once
  2. Add the skill to your AI, one time only: press Copy skill and paste it into your AI's instructions: a project in ChatGPT, Claude or Grok, a Gem in Gemini, an agent in Microsoft 365 Copilot, or a rule in Cursor. It stays there for every new chat. In Kimi, paste it at the start of a new chat.
  3. Ask for the task in your own words, or say it directly:
Use the Security automation skill to help me with this.
SKILL.md

Security Automation

Automate security operations for scale and efficiency.

Security Pipeline

# .github/workflows/security.yml
name: Security Pipeline

on: [push, pull_request]

jobs:
  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Secret Scanning
        uses: trufflesecurity/trufflehog@main
        
      - name: SAST
        uses: returntocorp/semgrep-action@v1
        
      - name: Dependency Scan
        run: npm audit --audit-level=high
        
      - name: Container Scan
        uses: aquasecurity/trivy-action@master
        with:
          scan-type: 'fs'
          
      - name: Compliance Check
        run: |
          checkov -d . --framework terraform

Automated Remediation

# Auto-remediation script
def remediate_public_s3(bucket_name):
    """Remove public access from S3 bucket."""
    s3 = boto3.client('s3')
    s3.put_public_access_block(
        Bucket=bucket_name,
        PublicAccessBlockConfiguration={
            'BlockPublicAcls': True,
            'IgnorePublicAcls': True,
            'BlockPublicPolicy': True,
            'RestrictPublicBuckets': True
        }
    )

SOAR Integration

playbook:
  name: Suspicious Login Response
  trigger: alert.type == "suspicious_login"
  actions:
    - enrich_ip:
        source: threat_intel
    - if_condition: ip.is_malicious
      then:
        - block_ip:
            firewall: cloudflare
        - disable_user:
            duration: 1h
        - notify:
            channel: security
        - create_ticket:
            priority: high

Compliance as Code

# Checkov custom check
from checkov.terraform.checks.resource.base_resource_check import BaseResourceCheck

class S3Encryption(BaseResourceCheck):
    def __init__(self):
        name = "Ensure S3 bucket has encryption enabled"
        id = "CUSTOM_S3_1"
        supported_resources = ['aws_s3_bucket']
        super().__init__(name=name, id=id, ...)
    
    def scan_resource_conf(self, conf):
        if 'server_side_encryption_configuration' in conf:
            return CheckResult.PASSED
        return CheckResult.FAILED

Best Practices

  • Start with high-impact automations
  • Test in staging first
  • Include manual review gates
  • Monitor automation effectiveness
  • Regular rule updates

Related Skills

  • github-actions (github-actions) - CI/CD automation
  • policy-as-code (policy-as-code) - Policy enforcement

When to Use

  • You need the security workflow covered by this skill (secrets, scanning, network defense, operations, AI security) inside an authorized scope.

Limitations

  • Apply guidance only within authorized scope; test destructive steps in non-production first.
  • Docs-only import: upstream scripts and templates not bundled.

Example

# Read-only first: inventory before any active step.
which <tool> && <tool> --help | head -n 20
Adapted from BagelHole/DevOps-Security-Agent-Skills (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.