Skill

Configure SCA for Vulnerability and License Compliance

An SCA configuration skill for dependency-vulnerability scanning and license compliance, with per-language policy files and CI pipelines.

Works with snykwhitesourceblack duckfossagithub dependency scanning

78
Spark score
out of 100
Updated 7 months ago
Version 1.0.0
Models

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Why it matters

Automate the identification and management of open-source vulnerabilities and license compliance issues across your software development lifecycle. This asset ensures your codebase adheres to security policies and licensing requirements by expertly configuring Software Composition Analysis tools.

Outcomes

What it gets done

01

Select and integrate appropriate SCA tools (e.g., Snyk, FOSSA, Black Duck).

02

Configure multi-stage pipelines for comprehensive dependency scanning (manifest, lock file, binary, container).

03

Define and enforce policies for vulnerability severity, license compliance, and dependency age.

04

Generate SBOMs and configure reporting for continuous monitoring and risk assessment.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-sca-configuration | bash

Overview

SCA (Software Composition Analysis) Configuration Expert

An SCA configuration skill for dependency-vulnerability scanning and license compliance, with per-language policy files, CI pipeline blocks, and SBOM generation. Use it to configure SCA tooling for a specific language ecosystem as part of an ongoing monitoring process, not for a single ad hoc scan.

What it does

This is a Software Composition Analysis (SCA) configuration skill for setting up dependency-vulnerability scanning and license-compliance enforcement across a tech stack, covering tool selection (Snyk, WhiteSource/Mend, Black Duck, FOSSA, GitHub Dependency Scanning), detection coverage (manifest-file analysis, lock-file scanning, binary analysis, container-image scanning), and policy definition (vulnerability-severity thresholds that block builds on Critical/High findings, approved and restricted license lists, dependency-age and maintenance-status checks, and known-malicious-package detection). A representative CI integration runs Snyk and FOSSA together in one pipeline:

name: SCA Security Scan
on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  sca-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      # Snyk vulnerability scanning
      - name: Run Snyk to check for vulnerabilities
        uses: snyk/actions/node@master
        env:
          SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
        with:
          args: --severity-threshold=high --fail-on=upgradable
      
      # FOSSA license compliance
      - name: FOSSA Scan
        uses: fossas/fossa-action@main
        with:
          api-key: ${{ secrets.FOSSA_API_KEY }}
          container: fossa/fossa:latest

When to use - and when NOT to

Use this skill when configuring SCA tooling for a specific language ecosystem - it gives concrete per-language configuration patterns: a .snyk policy file for Node.js/JavaScript, an OWASP dependency-check-maven plugin block for Java/Maven (failing the build at CVSS 7), and a safety policy file for Python, with a documented pattern for temporarily ignoring a specific CVE with a reason and an expiry date. It also covers container scanning via a multi-stage Dockerfile that runs Trivy against dependencies before the runtime image is built, and SBOM generation and validation with syft and grype. It is not a one-time scan - the skill assumes continuous monitoring with webhooks for new vulnerabilities and license changes, so it isn't suited for a single ad hoc scan without an ongoing policy and remediation process behind it.

Inputs and outputs

Inputs are the project's manifests, lock files, container images, and defined policies - severity thresholds, approved and prohibited license lists, custom vulnerability-database mirrors. Outputs are CI pipeline configurations (GitHub Actions and GitLab CI both shown), language-specific policy files, an SBOM in SPDX or CycloneDX format, and a metrics set tracking vulnerability trends (critical-count over time, mean-time-to-remediation, introduction rate), license-compliance violations, and dependency-health indicators such as percentage outdated and update frequency. A sample license policy approves MIT, Apache-2.0, BSD-3-Clause, and ISC, allows GPL-3.0 conditionally for development tools only, and prohibits AGPL-3.0, GPL-2.0, and LGPL-3.0.

Integrations

Covers Snyk, WhiteSource/Mend, Black Duck, FOSSA, GitHub Dependency Scanning, OWASP Dependency-Check, safety (Python), Trivy (container scanning), syft/grype (SBOM generation and validation), Gemnasium (GitLab CI), and custom NVD-mirror or internal vulnerability-feed integration.

Who it's for

Security and platform engineering teams configuring dependency and license scanning across a multi-language stack, who need concrete per-language policy files, CI pipeline blocks, and SBOM and metrics setup rather than a generic "add a scanner" instruction.

FAQ

Common questions

Discussion

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