implementing-aqua-security-for-container-scanning

Deploy Aqua Security's Trivy scanner to detect vulnerabilities, misconfigurations, secrets, and license issues in container images across CI/CD pipelines and registries.

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Install Skill

Run in your terminal

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-aqua-security-for-container-scanning

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Installation Guide

How to use implementing-aqua-security-for-container-scanning on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add implementing-aqua-security-for-container-scanning
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-aqua-security-for-container-scanning

Fetches implementing-aqua-security-for-container-scanning from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/implementing-aqua-security-for-container-scanning

Restart Cursor to activate implementing-aqua-security-for-container-scanning. Access via /implementing-aqua-security-for-container-scanning in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

name
implementing-aqua-security-for-container-scanning
description
Deploy Aqua Security's Trivy scanner to detect vulnerabilities, misconfigurations, secrets, and license issues in container images across CI/CD pipelines and registries.
domain
cybersecurity
subdomain
devsecops
tags
- aqua-security - trivy - container-scanning - vulnerability-scanning - sbom - image-security - supply-chain
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.PS-01 - GV.SC-07 - ID.IM-04 - PR.PS-04

Implementing Aqua Security for Container Scanning

Overview

Aqua Security provides Trivy, the world's most popular open-source universal security scanner, designed to find vulnerabilities, misconfigurations, secrets, SBOM data, and license issues in containers, Kubernetes, code repositories, and cloud environments. Trivy covers OS packages (Alpine, Debian, Ubuntu, RHEL, etc.) and language-specific dependencies (npm, pip, Maven, Go modules, Cargo, etc.) with vulnerability databases sourced from NVD, vendor advisories, and GitHub Security Advisories. The enterprise Aqua Platform extends Trivy with centralized policy management, runtime protection, and compliance reporting.

When to Use

  • When deploying or configuring implementing aqua security for container scanning capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Docker installed for local image scanning
  • CI/CD platform (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Container registry access (Docker Hub, ECR, GCR, ACR, Harbor)
  • Trivy CLI (trivy) or Trivy Operator for Kubernetes
  • Aqua Platform license for enterprise features (optional)

Core Scanning Capabilities

Image Vulnerability Scanning

Trivy scans container images layer by layer, identifying CVEs in OS packages and application dependencies. It supports scanning local images, remote registry images, and tar archives.

# Scan a remote image
trivy image python:3.11-slim

# Scan with severity filter
trivy image --severity HIGH,CRITICAL nginx:latest

# Scan and fail CI if critical CVEs found
trivy image --exit-code 1 --severity CRITICAL myapp:latest

# Generate SBOM in CycloneDX format
trivy image --format cyclonedx --output sbom.json myapp:latest

Filesystem and Repository Scanning

# Scan project directory for vulnerabilities in dependencies
trivy fs --scanners vuln,secret,misconfig .

# Scan a specific lockfile
trivy fs --scanners vuln package-lock.json

# Scan git repository
trivy repo https://github.com/org/project

Kubernetes Scanning with Trivy Operator

The Trivy Operator runs inside a Kubernetes cluster and continuously scans workloads:

# Install Trivy Operator via Helm
helm repo add aqua https://aquasecurity.github.io/helm-charts/
helm repo update
helm install trivy-operator aqua/trivy-operator \
  --namespace trivy-system \
  --create-namespace \
  --set trivy.severity="HIGH,CRITICAL" \
  --set operator.scanJobTimeout="5m"

The operator creates VulnerabilityReport and ConfigAuditReport custom resources for each workload.

IaC Misconfiguration Scanning

# Scan Terraform files
trivy config --severity HIGH,CRITICAL ./terraform/

# Scan Dockerfile for misconfigurations
trivy config Dockerfile

# Scan Kubernetes manifests
trivy config ./k8s-manifests/

CI/CD Integration

GitHub Actions

name: Container Security Scan
on:
  push:
    branches: [main]
  pull_request:

jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Build Docker image
        run: docker build -t myapp:${{ github.sha }} .

      - name: Run Trivy vulnerability scanner
        uses: aquasecurity/trivy-action@master
        with:
          image-ref: 'myapp:${{ github.sha }}'
          format: 'sarif'
          output: 'trivy-results.sarif'
          severity: 'CRITICAL,HIGH'
          exit-code: '1'

      - name: Upload Trivy scan results to GitHub Security tab
        uses: github/codeql-action/upload-sarif@v3
        if: always()
        with:
          sarif_file: 'trivy-results.sarif'

GitLab CI

container_scanning:
  stage: security
  image:
    name: aquasec/trivy:latest
    entrypoint: [""]
  variables:
    FULL_IMAGE_NAME: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHORT_SHA
  script:
    - trivy image --exit-code 0 --format template --template "@/contrib/gitlab.tpl"
      --output gl-container-scanning-report.json $FULL_IMAGE_NAME
    - trivy image --exit-code 1 --severity CRITICAL $FULL_IMAGE_NAME
  artifacts:
    reports:
      container_scanning: gl-container-scanning-report.json

Jenkins Pipeline

pipeline {
    agent any
    stages {
        stage('Build') {
            steps {
                sh 'docker build -t myapp:${BUILD_NUMBER} .'
            }
        }
        stage('Security Scan') {
            steps {
                sh '''
                    trivy image --exit-code 1 \
                      --severity HIGH,CRITICAL \
                      --format json \
                      --output trivy-report.json \
                      myapp:${BUILD_NUMBER}
                '''
            }
            post {
                always {
                    archiveArtifacts artifacts: 'trivy-report.json'
                }
            }
        }
    }
}

Policy Configuration

Trivy Policy with OPA/Rego

Create .trivy/policy.rego for custom policy enforcement:

package trivy

deny[msg] {
    input.Results[_].Vulnerabilities[_].Severity == "CRITICAL"
    msg := "Critical vulnerabilities found in image"
}

deny[msg] {
    input.Results[_].Vulnerabilities[vuln]
    vuln.FixedVersion != ""
    vuln.Severity == "HIGH"
    msg := sprintf("Fixable HIGH vulnerability: %s", [vuln.VulnerabilityID])
}

Ignore File Configuration

Create .trivyignore for accepted risks:

# Accepted risk: vulnerability in test dependency only
CVE-2023-12345

# Accepted until expiry date
CVE-2024-67890 exp:2025-06-01

SBOM Generation and Management

# Generate CycloneDX SBOM
trivy image --format cyclonedx --output sbom-cyclonedx.json myapp:latest

# Generate SPDX SBOM
trivy image --format spdx-json --output sbom-spdx.json myapp:latest

# Scan an existing SBOM for new vulnerabilities
trivy sbom sbom-cyclonedx.json

Monitoring and Reporting

MetricDescriptionTarget
Images scanned per dayTotal images passing through scanning pipelineAll production images
Critical CVE countOpen critical vulnerabilities across all images0 in production
Mean time to patchAverage days from CVE publication to patched image< 7 days
SBOM coveragePercentage of production images with generated SBOMs100%
Scan durationAverage time per image scan< 2 minutes

References

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.875 reviews
  • N
    Noor BhatiaDec 28, 2024

    implementing-aqua-security-for-container-scanning fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • P
    Pratham WareDec 20, 2024

    implementing-aqua-security-for-container-scanning reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • A
    Ava SharmaDec 20, 2024

    Keeps context tight: implementing-aqua-security-for-container-scanning is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • A
    Alexander SinghDec 20, 2024

    implementing-aqua-security-for-container-scanning reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • A
    Alexander MehtaDec 16, 2024

    We added implementing-aqua-security-for-container-scanning from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • A
    Alexander GuptaDec 8, 2024

    We added implementing-aqua-security-for-container-scanning from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • X
    Xiao MenonDec 8, 2024

    I recommend implementing-aqua-security-for-container-scanning for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • A
    Ava ShahDec 4, 2024

    Solid pick for teams standardizing on skills: implementing-aqua-security-for-container-scanning is focused, and the summary matches what you get after install.

  • N
    Nikhil SethiNov 27, 2024

    implementing-aqua-security-for-container-scanning reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • A
    Aisha HaddadNov 23, 2024

    implementing-aqua-security-for-container-scanning is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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