# Performing Sca Dependency Scanning With Snyk

> Use when 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.

- Skill: `oyi77/performing-sca-dependency-scanning-with-snyk` (Agent Skill)
- Install (CLI): `npx skillmds add oyi77/performing-sca-dependency-scanning-with-snyk`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/performing-sca-dependency-scanning-with-snyk/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/oyi77/performing-sca-dependency-scanning-with-snyk

---


# Performing Sca Dependency Scanning With Snyk

## Overview

Cybersecurity skill for performing sca dependency scanning with snyk. Follows industry best practices and security standards.

## When to Use
**Trigger phrases:**
- "performing sca dependency scanning with snyk"
- "This skill covers implementing Software Composition Analysis (SCA) using Snyk to"


- When applications use open-source packages that may contain known vulnerabilities
- When compliance requires tracking and remediating vulnerable dependencies (PCI DSS, SOC 2)
- When needing automated fix PRs for vulnerable dependencies in CI/CD
- When license compliance requires visibility into open-source license obligations
- When continuous monitoring is needed for newly disclosed vulnerabilities in deployed dependencies

**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).


## When NOT to Use

- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope


## Prerequisites

- Snyk account (free tier covers up to 200 tests per month for open source)
- Snyk CLI installed or Snyk GitHub/GitLab integration configured
- SNYK_TOKEN environment variable set with API authentication token
- Project with supported package manifests: package.json, requirements.txt, pom.xml, go.mod, Gemfile, etc.

## Workflow

```python
# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```

1. **Plan Operations** — Define objectives, scope, and success criteria for sca dependency scanning operations.
2. **Prepare Environment** — Set up tools, access, and data sources required for sca dependency scanning.
3. **Execute Core Workflow** — Use snyk to perform sca dependency scanning operations following established procedures.
4. **Validate Results** — Verify that results meet quality standards and objectives.
5. **Report Findings** — Document results, observations, and recommendations.
6. **Follow Up** — Track remediation actions and verify fixes where applicable.

## Tools

- **snyk** — Primary tool for this skill
- **Analysis Platform** — Data processing and visualization
- **Collaboration Tools** — Team coordination and knowledge sharing


## Process

1. **Design** — Define interface, identify patterns, plan implementation
1. **Implement** — Write code following existing conventions, add tests
1. **Verify** — Run tests, check integration, validate behavior

## Verification

- [ ] All sca dependency scanning procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |