sast-configuration

Configure SAST tools for automated vulnerability detection across multiple languages and CI/CD pipelines. Covers three major SAST platforms: Semgrep (custom pattern-based rules), SonarQube (quality gates and code coverage), and CodeQL (GitHub Advanced Security integration) Includes CI/CD integration patterns for GitHub Actions, GitLab CI, and Jenkins, plus pre-commit hook setup for early detection Provides production-ready configuration templates, custom rule examples, and performance optimization strategies for large codebases Addresses false positive management, compliance scanning (PCI-DSS, SOC 2), and team enablement workflows

INSTALLATION
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SKILL.md

SAST Configuration

Static Application Security Testing (SAST) tool setup, configuration, and custom rule creation for comprehensive security scanning across multiple programming languages.

Overview

This skill provides comprehensive guidance for setting up and configuring SAST tools including Semgrep, SonarQube, and CodeQL. Use this skill when you need to:

  • Set up SAST scanning in CI/CD pipelines
  • Create custom security rules for your codebase
  • Configure quality gates and compliance policies
  • Optimize scan performance and reduce false positives
  • Integrate multiple SAST tools for defense-in-depth

Core Capabilities

1. Semgrep Configuration

  • Custom rule creation with pattern matching
  • Language-specific security rules (Python, JavaScript, Go, Java, etc.)
  • CI/CD integration (GitHub Actions, GitLab CI, Jenkins)
  • False positive tuning and rule optimization
  • Organizational policy enforcement

2. SonarQube Setup

  • Quality gate configuration
  • Security hotspot analysis
  • Code coverage and technical debt tracking
  • Custom quality profiles for languages
  • Enterprise integration with LDAP/SAML

3. CodeQL Analysis

  • GitHub Advanced Security integration
  • Custom query development
  • Vulnerability variant analysis
  • Security research workflows
  • SARIF result processing

Quick Start

Initial Assessment

  • Identify primary programming languages in your codebase
  • Determine compliance requirements (PCI-DSS, SOC 2, etc.)
  • Choose SAST tool based on language support and integration needs
  • Review baseline scan to understand current security posture

Basic Setup

# Semgrep quick start

pip install semgrep

semgrep --config=auto --error

# SonarQube with Docker

docker run -d --name sonarqube -p 9000:9000 sonarqube:10.8-community

# CodeQL CLI setup

gh extension install github/gh-codeql

codeql database create mydb --language=python

Integration Patterns

CI/CD Pipeline Integration

# GitHub Actions example

- name: Run Semgrep

  uses: returntocorp/semgrep-action@v1

  with:

    config: >-

      p/security-audit

      p/owasp-top-ten

Pre-commit Hook

# .pre-commit-config.yaml

- repo: https://github.com/returntocorp/semgrep

  rev: v1.45.0

  hooks:

    - id: semgrep

      args: ['--config=auto', '--error']

Best Practices

-

Start with Baseline

  • Run initial scan to establish security baseline
  • Prioritize critical and high severity findings
  • Create remediation roadmap

-

Incremental Adoption

  • Begin with security-focused rules
  • Gradually add code quality rules
  • Implement blocking only for critical issues

-

False Positive Management

  • Document legitimate suppressions
  • Create allow lists for known safe patterns
  • Regularly review suppressed findings

-

Performance Optimization

  • Exclude test files and generated code
  • Use incremental scanning for large codebases
  • Cache scan results in CI/CD

-

Team Enablement

  • Provide security training for developers
  • Create internal documentation for common patterns
  • Establish security champions program

Common Use Cases

New Project Setup

./scripts/run-sast.sh --setup --language python --tools semgrep,sonarqube

Custom Rule Development

# See references/semgrep-rules.md for detailed examples

rules:

  - id: hardcoded-jwt-secret

    pattern: jwt.encode($DATA, "...", ...)

    message: JWT secret should not be hardcoded

    severity: ERROR

Compliance Scanning

# PCI-DSS focused scan

semgrep --config p/pci-dss --json -o pci-scan-results.json

Troubleshooting

High False Positive Rate

  • Review and tune rule sensitivity
  • Add path filters to exclude test files
  • Use nostmt metadata for noisy patterns
  • Create organization-specific rule exceptions

Performance Issues

  • Enable incremental scanning
  • Parallelize scans across modules
  • Optimize rule patterns for efficiency
  • Cache dependencies and scan results

Integration Failures

  • Verify API tokens and credentials
  • Check network connectivity and proxy settings
  • Review SARIF output format compatibility
  • Validate CI/CD runner permissions

Related Skills

Tool Comparison

Tool

Best For

Language Support

Cost

Integration

Semgrep

Custom rules, fast scans

30+ languages

Free/Enterprise

Excellent

SonarQube

Code quality + security

25+ languages

Free/Commercial

Good

CodeQL

Deep analysis, research

10+ languages

Free (OSS)

GitHub native

Next Steps

  • Complete initial SAST tool setup
  • Run baseline security scan
  • Create custom rules for organization-specific patterns
  • Integrate into CI/CD pipeline
  • Establish security gate policies
  • Train development team on findings and remediation
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