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Get Started Free →This skill covers implementing Software Composition Analysis (SCA) using Snyk to detect vulnerable open-source dependencies in CI/CD pipelines. It addresses scanning package manifests and lockfiles, automated fix pull request generation, license compliance checking, continuous monitoring of deployed applications, and integration with GitHub, GitLab, and Jenkins pipelines.
.claude/skills/performing-sca-dependency-scanning-with-snyk/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-06 | ✗→✓ | ▲ Improved | — | — |
| case-04 | ✗→✓ | ▲ Improved | — | — |
| case-17 | ✗→✓ | ▲ Improved | — | — |
| case-01 | ✗→✓ | ▲ Improved | — | — |
| case-13 | ✗→✓ | ▲ Improved | — | — |
Do not use for scanning proprietary application code for logic vulnerabilities (use SAST), for runtime vulnerability detection (use DAST), or for container OS package scanning alone (use Trivy for a free alternative).
bash# Install Snyk CLI npm install -g snyk # Authenticate with Snyk snyk auth $SNYK_TOKEN # Test the connection snyk test --json | jq '.summary'
yaml# .github/workflows/dependency-scan.yml name: Dependency Security Scan on: push: branches: [main] pull_request: branches: [main] schedule: - cron: '0 8 * * 1' # Weekly Monday 8am jobs: snyk-scan: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Setup Node.js uses: actions/setup-node@v4 with: node-version: '20' - name: Install dependencies run: npm ci - 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 --json-file-output=snyk-results.json - name: Upload results to Snyk if: always() uses: snyk/actions/node@master env: SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }} with: command: monitor args: --project-name=${{ github.repository }} - name: Upload SARIF if: always() run: | npx snyk-to-html -i snyk-results.json -o snyk-report.html
bash# Python project scanning snyk test --file=requirements.txt --severity-threshold=high --json > snyk-python.json # Java/Maven project snyk test --file=pom.xml --severity-threshold=medium --json > snyk-java.json # Go module scanning snyk test --file=go.mod --severity-threshold=high --json > snyk-go.json # Docker image dependency scanning snyk container test myapp:latest --severity-threshold=high --json > snyk-container.json # Monorepo: scan all projects snyk test --all-projects --severity-threshold=high --json > snyk-all.json # IaC scanning (bonus) snyk iac test terraform/ --severity-threshold=medium --json > snyk-iac.json
yaml# .snyk policy file version: v1.25.0 ignore: SNYK-JS-LODASH-1018905: - '*': reason: "Prototype pollution in lodash. Not exploitable in our usage - no user input reaches affected function." expires: 2026-06-01T00:00:00.000Z created: 2026-02-23T00:00:00.000Z SNYK-PYTHON-REQUESTS-6241864: - '*': reason: "SSRF in requests redirect handling. Mitigated by allowlist at proxy layer." expires: 2026-04-01T00:00:00.000Z patch: {} # Severity threshold for CI failures failOnSeverity: high
bash# Snyk fix: generate fix PRs for vulnerable dependencies snyk fix --dry-run # Preview changes # Apply fixes locally snyk fix # Enable auto-fix PRs via Snyk dashboard: # 1. Navigate to Organization Settings > Integrations > GitHub # 2. Enable "Automatic fix pull requests" # 3. Set "Fix only direct dependencies" or "Fix direct and transitive" # 4. Configure branch target (main or develop)
bash# Check license compliance snyk test --json | jq '.licensesPolicy' # Snyk license policy configuration via organization settings: # - Approved licenses: MIT, Apache-2.0, BSD-2-Clause, BSD-3-Clause, ISC # - Restricted licenses: GPL-3.0, AGPL-3.0 (copyleft risk) # - Unknown licenses: Flag for manual review
| Term | Definition | |------|------------| | SCA | Software Composition Analysis — identifies vulnerabilities and license risks in open-source dependencies | | Transitive Dependency | A dependency of a direct dependency, often invisible to developers but still a vulnerability vector | | Fix PR | Automated pull request generated by Snyk that upgrades a vulnerable dependency to a patched version | | Snyk Monitor | Continuous monitoring mode that watches deployed projects for newly disclosed vulnerabilities | | Exploit Maturity | Snyk's assessment of whether a vulnerability has known exploits, proof-of-concept, or no known exploit | | Reachable Vulnerability | A vulnerability in a function that is actually called by the application code, not just present in the dependency | | License Policy | Organization-level rules defining which open-source licenses are approved, restricted, or require review |
Context: Snyk reports a critical RCE vulnerability in a transitive dependency (log4j in a Java application). The direct dependency has not released a patch.
Approach:
snyk test --json and examine the dependency path to identify which direct dependency pulls in the vulnerable transitive<dependencyManagement> section to force the safe version of the transitive dependencyoverrides section in package.json to pin the safe versionPitfalls: Ignoring transitive vulnerabilities because "we don't use that function directly" is risky. Attackers can chain vulnerabilities across dependency boundaries. Version overrides can break API compatibility between the direct and transitive dependency.
Snyk Dependency Scan Report
=============================
Project: org/web-application
Manifest: package.json
Dependencies: 342 (47 direct, 295 transitive)
Scan Date: 2026-02-23
VULNERABILITY SUMMARY:
Critical: 1 (1 fixable)
High: 4 (3 fixable)
Medium: 12 (8 fixable)
Low: 23 (15 fixable)
CRITICAL:
SNYK-JS-EXPRESS-1234567
Package: express@4.17.1 (direct)
Severity: Critical (CVSS 9.8)
Exploit: Mature
Fix: Upgrade to express@4.21.0
Path: express@4.17.1
HIGH:
SNYK-JS-JSONWEBTOKEN-5678901
Package: jsonwebtoken@8.5.1 (transitive)
Severity: High (CVSS 7.6)
Exploit: Proof of Concept
Fix: Upgrade passport@0.7.0 (which upgrades jsonwebtoken)
Path: passport@0.6.0 > jsonwebtoken@8.5.1
LICENSE ISSUES:
[RESTRICTED] GPL-3.0: some-package@1.2.3 (transitive via other-pkg)
QUALITY GATE: FAILED (1 Critical with fix available)| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-18 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +23 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.