external/anthropic-cybersecurity-skills/skills/performing-sca-dependency-scanning-with-snyk/SKILL.md
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.
npx skillsauth add seikaikyo/dash-skills performing-sca-dependency-scanning-with-snykInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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).
# Install Snyk CLI
npm install -g snyk
# Authenticate with Snyk
snyk auth $SNYK_TOKEN
# Test the connection
snyk test --json | jq '.summary'
# .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
# 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
# .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
# 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)
# 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: [email protected] (direct)
Severity: Critical (CVSS 9.8)
Exploit: Mature
Fix: Upgrade to [email protected]
Path: [email protected]
HIGH:
SNYK-JS-JSONWEBTOKEN-5678901
Package: [email protected] (transitive)
Severity: High (CVSS 7.6)
Exploit: Proof of Concept
Fix: Upgrade [email protected] (which upgrades jsonwebtoken)
Path: [email protected] > [email protected]
LICENSE ISSUES:
[RESTRICTED] GPL-3.0: [email protected] (transitive via other-pkg)
QUALITY GATE: FAILED (1 Critical with fix available)
development
拋棄式 HTML mockup 比稿:產出 2 到 3 個設計立場不同的變體(密度 / 版式 / 強調軸,不是換色),各附取捨說明,最後給有立場的對比結論。適用:「畫個草圖」「比較 A 版 B 版」「先看方向再做」「給我看幾種做法」。要 production 元件或設計已定案時不適用。
tools
需求不明時的意圖萃取訪談:一次一題、每題附上自己的猜測、聽出「真正想要 vs 覺得應該要」,直到能預測使用者反應(約 95% 信心)才動工。適用:需求缺少對象 / 動機 / 成功標準 / 約束,或使用者點名「訪談我」「先確認一下」「我們確定嗎」。明確自足的指示、純資訊查詢、機械性操作不適用。
development
對非平凡決策啟動新鮮 context 對抗審查(找碴不背書),在修正還便宜的時候抓出錯誤方向。適用:高風險改動(production、資安敏感邏輯、不可逆操作)、不熟的程式碼、要宣稱「這樣是安全的 / 可行的」之前。機械性操作與一行修改不適用。
testing
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