Sca Trivy logo

Sca Trivy

Organization
AgentSecOps
sca-trivy

Software Composition Analysis (SCA) and container vulnerability scanning using Aqua Trivy for identifying CVE vulnerabilities in dependencies, container images, IaC misconfigurations, and license compliance risks. Use when: (1) Scanning container images and filesystems for vulnerabilities and misconfigurations, (2) Analyzing dependencies for known CVEs across multiple languages (Go, Python, Node.js, Java, etc.), (3) Detecting IaC security issues in Terraform, Kubernetes, Dockerfile, (4) Integrating vulnerability scanning into CI/CD pipelines with SARIF output, (5) Generating Software Bill of Materials (SBOM) in CycloneDX or SPDX format, (6) Prioritizing remediation by CVSS score and exploitability.

Overview

PublisherAgentSecOps
RepositorySecOpsAgentKit
Skill namesca-trivy
Stars
225
Forks
44
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AgentSecOps on GitHub. Read the source before you install it.

Installation

Install the Sca Trivy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AgentSecOps/SecOpsAgentKit/tree/main/skills/devsecops/sca-trivy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgentSecOps/SecOpsAgentKit.git /tmp/SecOpsAgentKit
mkdir -p .claude/skills
cp -r /tmp/SecOpsAgentKit/skills/devsecops/sca-trivy .claude/skills/sca-trivy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sca Trivy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sca Trivy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sca Trivy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Software Composition Analysis with Trivy

Overview

Trivy is a comprehensive security scanner for containers, filesystems, and git repositories. It detects vulnerabilities (CVEs) in OS packages and application dependencies, IaC misconfigurations, exposed secrets, and software licenses. This skill provides workflows for vulnerability scanning, SBOM generation, CI/CD integration, and remediation prioritization aligned with CVSS and OWASP standards.

Quick Start

Scan a container image for vulnerabilities:

bash
# Install Trivy
brew install trivy  # macOS
# or: apt-get install trivy  # Debian/Ubuntu
# or: docker pull aquasec/trivy:latest

# Scan container image
trivy image nginx:latest

# Scan local filesystem for dependencies
trivy fs .

# Scan IaC files for misconfigurations
trivy config .

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

Core Workflows

Workflow 1: Container Image Security Assessment

Progress: [ ] 1. Identify target container image (repository:tag) [ ] 2. Run comprehensive Trivy scan with trivy image <image-name> [ ] 3. Analyze vulnerability findings by severity (CRITICAL, HIGH, MEDIUM, LOW) [ ] 4. Map CVE findings to CWE categories and OWASP references [ ] 5. Check for available patches and updated base images [ ] 6. Generate prioritized remediation report with upgrade recommendations

Work through each step systematically. Check off completed items.

Workflow 2: Dependency Vulnerability Scanning

Scan project dependencies for known vulnerabilities:

bash
# Scan filesystem for all dependencies
trivy fs --severity CRITICAL,HIGH .

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

# Generate JSON report for analysis
trivy fs --format json --output trivy-report.json .

# Generate SARIF for GitHub/GitLab integration
trivy fs --format sarif --output trivy.sarif .

For each vulnerability:

  1. Review CVE details and CVSS score
  2. Check if fixed version is available
  3. Consult references/remediation_guide.md for language-specific guidance
  4. Update dependency to patched version
  5. Re-scan to validate fix

Workflow 3: Infrastructure as Code Security

Detect misconfigurations in IaC files:

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

# Scan Kubernetes manifests
trivy config ./k8s --severity CRITICAL,HIGH

# Scan Dockerfile best practices
trivy config --file-patterns dockerfile:Dockerfile .

# Generate report with remediation guidance
trivy config --format json --output iac-findings.json .

Review findings by category:

  • Security: Authentication, authorization, encryption
  • Compliance: CIS benchmarks, security standards
  • Best Practices: Resource limits, immutability, least privilege

Workflow 4: CI/CD Pipeline Integration

GitHub Actions
yaml
name: Trivy Security Scan
on: [push, pull_request]

jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Run Trivy vulnerability scanner
        uses: aquasecurity/trivy-action@master
        with:
          scan-type: 'fs'
          scan-ref: '.'
          format: 'sarif'
          output: 'trivy-results.sarif'
          severity: 'CRITICAL,HIGH'

      - name: Upload results to GitHub Security
        uses: github/codeql-action/upload-sarif@v2
        with:
          sarif_file: 'trivy-results.sarif'
GitLab CI
yaml
trivy-scan:
  stage: test
  image: aquasec/trivy:latest
  script:
    - trivy fs --exit-code 1 --severity CRITICAL,HIGH --format json --output trivy-report.json .
  artifacts:
    reports:
      dependency_scanning: trivy-report.json
    when: always
  allow_failure: false

Use bundled templates from assets/ci_integration/ for additional platforms.

Workflow 5: SBOM Generation

Generate Software Bill of Materials for supply chain transparency:

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

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

# SBOM for filesystem/project
trivy fs --format cyclonedx --output project-sbom.json .

SBOM use cases:

  • Vulnerability tracking: Monitor dependencies for new CVEs
  • License compliance: Identify license obligations and risks
  • Supply chain security: Verify component provenance
  • Regulatory compliance: Meet CISA SBOM requirements

Security Considerations

Sensitive Data Handling

  • Registry credentials: Use environment variables or credential helpers, never hardcode
  • Scan reports: Contain vulnerability details and package versions - treat as sensitive
  • SBOM files: May reveal internal architecture - control access appropriately
  • Secret scanning: Enable with --scanners secret to detect exposed credentials in images

Access Control

  • Container registry access: Requires pull permissions for image scanning
  • Filesystem access: Read permissions for dependency manifests and IaC files
  • CI/CD integration: Secure API tokens and registry credentials in secrets management
  • Report storage: Restrict access to vulnerability reports and SBOM artifacts

Audit Logging

Log the following for compliance and incident response:

  • Scan execution timestamps and scope (image, filesystem, repository)
  • Vulnerability counts by severity level
  • Policy violations and blocking decisions
  • SBOM generation and distribution events
  • Remediation actions and version updates

Compliance Requirements

  • PCI-DSS 6.2: Ensure system components protected from known vulnerabilities
  • SOC2 CC7.1: Detect and act upon changes that could affect security
  • NIST 800-53 SI-2: Flaw remediation and vulnerability scanning
  • CIS Benchmarks: Container and Kubernetes security hardening
  • OWASP Top 10 A06: Vulnerable and Outdated Components
  • CWE-1104: Use of Unmaintained Third-Party Components

Bundled Resources

Scripts (scripts/)

  • trivy_scan.py - Comprehensive scanning with JSON/SARIF output and severity filtering
  • sbom_generator.py - SBOM generation with CycloneDX and SPDX format support
  • vulnerability_report.py - Parse Trivy output and generate remediation reports with CVSS scores
  • baseline_manager.py - Baseline creation for tracking new vulnerabilities only

References (references/)

  • scanner_types.md - Detailed guide for vulnerability, misconfiguration, secret, and license scanning
  • remediation_guide.md - Language and ecosystem-specific remediation strategies
  • cvss_prioritization.md - CVSS score interpretation and vulnerability prioritization framework
  • iac_checks.md - Complete list of IaC security checks with CIS benchmark mappings

Assets (assets/)

  • trivy.yaml - Custom Trivy configuration with security policies and ignore rules
  • ci_integration/github-actions.yml - Complete GitHub Actions workflow with security gates
  • ci_integration/gitlab-ci.yml - Complete GitLab CI pipeline with dependency scanning
  • ci_integration/jenkins.groovy - Jenkins pipeline with Trivy integration
  • policy_template.rego - OPA policy template for custom vulnerability policies

Common Patterns

Pattern 1: Multi-Stage Security Scanning

Comprehensive security assessment combining multiple scan types:

bash
# 1. Scan container image for vulnerabilities
trivy image --severity CRITICAL,HIGH myapp:latest

# 2. Scan IaC for misconfigurations
trivy config ./infrastructure --severity CRITICAL,HIGH

# 3. Scan filesystem for dependency vulnerabilities
trivy fs --severity CRITICAL,HIGH ./app

# 4. Scan for exposed secrets
trivy fs --scanners secret ./app

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

Pattern 2: Baseline Vulnerability Tracking

Implement baseline scanning to track only new vulnerabilities:

bash
# Initial scan - create baseline
trivy image --format json --output baseline.json nginx:latest

# Subsequent scans - detect new vulnerabilities
trivy image --format json --output current.json nginx:latest
./scripts/baseline_manager.py --baseline baseline.json --current current.json

Pattern 3: License Compliance Scanning

Detect license compliance risks:

bash
# Scan for license information
trivy image --scanners license --format json --output licenses.json myapp:latest

# Filter by license type
trivy image --scanners license --severity HIGH,CRITICAL myapp:latest

Review findings:

  • High Risk: GPL, AGPL (strong copyleft)
  • Medium Risk: LGPL, MPL (weak copyleft)
  • Low Risk: Apache, MIT, BSD (permissive)

Pattern 4: Custom Policy Enforcement

Apply custom security policies with OPA:

bash
# Create Rego policy in assets/policy_template.rego
# Deny images with CRITICAL vulnerabilities or outdated packages

# Run scan with policy enforcement
trivy image --format json --output scan.json myapp:latest
trivy image --ignore-policy assets/policy_template.rego myapp:latest

Integration Points

CI/CD Integration

  • GitHub Actions: Native aquasecurity/trivy-action with SARIF upload to Security tab
  • GitLab CI: Dependency scanning report format for Security Dashboard
  • Jenkins: Docker-based scanning with JUnit XML report generation
  • CircleCI: Docker executor with artifact storage
  • Azure Pipelines: Task-based integration with results publishing

Container Platforms

  • Docker: Image scanning before push to registry
  • Kubernetes: Admission controllers with trivy-operator for runtime scanning
  • Harbor: Built-in Trivy integration for registry scanning
  • AWS ECR: Scan images on push with enhanced scanning
  • Google Artifact Registry: Vulnerability scanning integration

Security Tools Ecosystem

  • SIEM Integration: Export JSON findings to Splunk, ELK, or Datadog
  • Vulnerability Management: Import SARIF/JSON into Snyk, Qualys, or Rapid7
  • SBOM Tools: CycloneDX and SPDX compatibility with dependency-track and GUAC
  • Policy Enforcement: OPA/Rego integration for custom policy as code

Troubleshooting

Issue: High False Positive Rate

Symptoms: Many vulnerabilities reported that don't apply to your use case

Solution:

  1. Use .trivyignore file to suppress specific CVEs with justification
  2. Filter by exploitability: trivy image --ignore-unfixed myapp:latest
  3. Apply severity filtering: --severity CRITICAL,HIGH
  4. Review vendor-specific security advisories for false positive validation
  5. See references/false_positives.md for common patterns

Issue: Performance Issues on Large Images

Symptoms: Scans taking excessive time or high memory usage

Solution:

  1. Use cached DB: trivy image --cache-dir /path/to/cache myapp:latest
  2. Skip unnecessary scanners: --scanners vuln (exclude config, secret)
  3. Use offline mode after initial DB download: --offline-scan
  4. Increase timeout: --timeout 30m
  5. Scan specific layers: --removed-pkgs to exclude removed packages

Issue: Missing Vulnerabilities for Specific Languages

Symptoms: Expected CVEs not detected in application dependencies

Solution:

  1. Verify language support: Check supported languages and file patterns
  2. Ensure dependency manifests are present (package.json, go.mod, requirements.txt)
  3. Include lock files for accurate version detection
  4. For compiled binaries, scan source code separately
  5. Consult references/scanner_types.md for language-specific requirements

Issue: Registry Authentication Failures

Symptoms: Unable to scan private container images

Solution:

bash
# Use Docker credential helper
docker login registry.example.com
trivy image registry.example.com/private/image:tag

# Or use environment variables
export TRIVY_USERNAME=user
export TRIVY_PASSWORD=pass
trivy image registry.example.com/private/image:tag

# Or use credential file
trivy image --username user --password pass registry.example.com/private/image:tag

Advanced Configuration

Custom Trivy Configuration

Create trivy.yaml configuration file:

yaml
# trivy.yaml
vulnerability:
  type: os,library
severity: CRITICAL,HIGH,MEDIUM
ignorefile: .trivyignore
ignore-unfixed: false
skip-files:
  - "test/**"
  - "**/node_modules/**"

cache:
  dir: /tmp/trivy-cache

db:
  repository: ghcr.io/aquasecurity/trivy-db:latest

output:
  format: json
  severity-sort: true

Use with: trivy image --config trivy.yaml myapp:latest

Trivy Ignore File

Create .trivyignore to suppress specific CVEs:

# .trivyignore
# False positive - patched in vendor fork
CVE-0000-12345

# Risk accepted by security team - JIRA-1234
CVE-0000-67890

# No fix available, compensating controls in place
CVE-0000-11111

Offline Air-Gapped Scanning

For air-gapped environments:

bash
# On internet-connected machine:
trivy image --download-db-only --cache-dir /path/to/db

# Transfer cache to air-gapped environment

# On air-gapped machine:
trivy image --skip-db-update --cache-dir /path/to/db --offline-scan myapp:latest

References

Frequently asked questions

What does the Sca Trivy AI skill do?

Software Composition Analysis (SCA) and container vulnerability scanning using Aqua Trivy for identifying CVE vulnerabilities in dependencies, container images, IaC misconfigurations, and license compliance risks. Use when: (1) Scanning container images and filesystems for vulnerabilities and misconfigurations, (2) Analyzing dependencies for known CVEs across multiple languages (Go, Python, Node.js, Java, etc.), (3) Detecting IaC security issues in Terraform, Kubernetes, Dockerfile, (4) Integrating vulnerability scanning into CI/CD pipelines with SARIF output, (5) Generating Software Bill o...

Why use Sca Trivy on TypingMind?

Because you install it once and use it with any model. Sca Trivy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sca Trivy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgentSecOps/SecOpsAgentKit/tree/main/skills/devsecops/sca-trivy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sca Trivy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sca Trivy?

As many as you like. As long as a model supports skills, you can use Sca Trivy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sca Trivy AI skill free?

It is published on GitHub by AgentSecOps. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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