Configure SAST Scans for Secure CI/CD
A skill that configures SAST scanning across CI/CD - GitHub Actions or Jenkins, custom Semgrep/CodeQL rules, and severity policy.
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Why it matters
Automate the integration of Static Application Security Testing (SAST) tools into your CI/CD pipelines to proactively identify and remediate vulnerabilities before they reach production.
Outcomes
What it gets done
Select and configure appropriate SAST tools (e.g., SonarQube, Checkmarx, Semgrep) based on language support and integration needs.
Implement SAST scanning at various stages of the CI/CD pipeline, including pre-commit, pull requests, and nightly builds.
Integrate SAST tools with CI/CD platforms like GitHub Actions and Jenkins, providing code examples for setup.
Define security policies for vulnerability severity mapping, blocking, and monitoring to ensure compliance and code quality.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-sast-scan-setup | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
SAST Scan Setup Specialist
This skill configures SAST scanning in CI/CD - GitHub Actions or Jenkins pipelines, SonarQube quality profiles, custom Semgrep and CodeQL rules, and a severity-based build-blocking policy. Use it when embedding or tuning static security scanning in a development pipeline, including writing custom detection rules for specific vulnerability classes.
What it does
This skill implements and configures Static Application Security Testing (SAST) across CI/CD pipelines, covering tool selection, scan timing, tool-specific rule configuration, security policy, and performance tuning. Tool selection is matched to the stack (SonarQube for multi-language coverage, Checkmarx for enterprise scale, Semgrep for custom rules), prioritizing CI/CD API and webhook support, balancing false-positive rate against scan speed, and meeting compliance standards like OWASP, CWE, and the SANS Top 25. Scans run at four points: pre-commit hooks for fast, targeted feedback, pull-request scans for comprehensive pre-merge analysis, nightly builds for full-repository scans, and release gates that block critical vulnerabilities before production.
When to use - and when NOT to
Use it when embedding security scanning into a development workflow across GitHub Actions or Jenkins, with custom Semgrep or CodeQL rules for specific vulnerability classes. It is not a set-and-forget install: the guidance emphasizes ongoing accuracy tuning through baseline establishment, false-positive management, and regular rule updates to keep developer trust while maintaining coverage.
Inputs and outputs
Given a codebase and pipeline, it outputs pipeline configurations for GitHub Actions (SonarCloud plus Semgrep scanning against p/security-audit, p/secrets, and p/owasp-top-ten rulesets, generating and uploading a SARIF report) or Jenkins (parallel SonarQube and Checkmarx stages with a 5-minute quality-gate timeout and a published HTML SAST report), tool configuration files (a sonar-project.properties quality profile, Semgrep custom rules such as a hardcoded-JWT-secret detector and a SQL-injection-risk pattern, and a CodeQL taint-tracking query for unsafe URL redirects), and a security policy file mapping severities to build actions (HIGH and CRITICAL fail the build, MEDIUM requires justification, LOW and INFO auto-approve) with blocking categories (SQL injection, cross-site scripting, command injection, path traversal, hardcoded credentials) versus monitoring-only categories (insecure random, weak cryptography, information disclosure).
name: SAST Security Scan
on:
push:
branches: [ main, develop ]
pull_request:
branches: [ main ]
jobs:
sast-scan:
runs-on: ubuntu-latest
permissions:
security-events: write
actions: read
contents: read
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: SonarCloud Scan
uses: SonarSource/sonarcloud-github-action@master
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}
- name: Semgrep Scan
uses: returntocorp/semgrep-action@v1
with:
config: >-
p/security-audit
p/secrets
p/owasp-top-ten
generateSarif: "1"
- name: Upload SARIF results
uses: github/codeql-action/upload-sarif@v2
with:
sarif_file: semgrep.sarif
if: always()
Integrations
Supports a multi-tool strategy: an enterprise-grade primary scanner (Checkmarx or Veracode) for comprehensive analysis, lightweight tools (Semgrep, ESLint security plugins) for fast feedback, and specialized language analyzers (Bandit for Python, Brakeman for Ruby). Results flow through SARIF for standardized reporting, with automated ticket creation for high-severity findings, Slack or email notification channels, and severity-based SLAs for remediation; performance is managed through differential and incremental scanning, exclusion patterns for third-party dependencies, caching, parallel scanning for multi-module projects, and resource-limited Docker execution.
Who it's for
AppSec and platform engineers rolling out SAST scanning who need working pipeline configs and custom rules, not just tool recommendations - paired with developer-experience practices like clear remediation guidance in scan results, IDE plugin integration for real-time feedback, security training tied to common findings, and a progressive rollout to minimize disruption.
FAQ
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