security-automation
security-automation is an code AI skill with a core value of Automate security workflows and remediation. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Automate security workflows and remediation. Build security pipelines, automate compliance checks, and implement SOAR capabilities. Use when scaling security operations or implementing DevSecOps.
Quick Facts
mkdir -p ./skills/security-automation && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/security-automation/SKILL.md -o ./skills/security-automation/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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 terraformAutomated 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: highCompliance 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.FAILEDBest 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](https://github.com/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.
🎯 Best For
- Security auditors
- DevSecOps teams
- Compliance officers
- UI designers
- Product designers
💡 Use Cases
- Auditing dependencies for known CVEs
- Scanning API endpoints for auth gaps
- Generating component mockups
- Creating design system tokens
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply security-automation to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Can this replace a dedicated SAST tool?
AI-based security review is complementary to SAST tools. Use it as a first-pass filter, not a replacement.
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
Is security-automation compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for security-automation?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install security-automation?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/security-automation/SKILL.md, ready to use.
⚠️ Common Mistakes to Avoid
Only scanning surface-level issues
Deep security review requires understanding your app architecture, not just regex patterns.
Skipping usability testing
AI-generated designs should be validated with real users before development.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.