sast-configuration

wshobson/agents · updated Apr 8, 2026

$npx skills add https://github.com/wshobson/agents --skill sast-configuration
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summary

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 performanc
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

  1. Identify primary programming languages in your codebase
  2. Determine compliance requirements (PCI-DSS, SOC 2, etc.)
  3. Choose SAST tool based on language support and integration needs
  4. 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:latest

# CodeQL CLI setup
gh extension install github/gh-codeql
codeql database create mydb --language=python

Reference Documentation

Templates & Assets

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

  1. Start with Baseline

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

    • Begin with security-focused rules
    • Gradually add code quality rules
    • Implement blocking only for critical issues
  3. False Positive Management

    • Document legitimate suppressions
    • Create allow lists for known safe patterns
    • Regularly review suppressed findings
  4. Performance Optimization

    • Exclude test files and generated code
    • Use incremental scanning for large codebases
    • Cache scan results in CI/CD
  5. 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

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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.565 reviews
  • William Chen· Dec 24, 2024

    Useful defaults in sast-configuration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Henry Garcia· Dec 12, 2024

    sast-configuration has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Harper Sethi· Dec 4, 2024

    Keeps context tight: sast-configuration is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Diya Abebe· Nov 23, 2024

    Registry listing for sast-configuration matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hiroshi Khan· Nov 15, 2024

    sast-configuration has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Valentina Smith· Nov 7, 2024

    sast-configuration fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Henry Johnson· Nov 3, 2024

    Useful defaults in sast-configuration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Valentina Torres· Oct 26, 2024

    We added sast-configuration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Alexander White· Oct 22, 2024

    I recommend sast-configuration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mei Diallo· Oct 14, 2024

    sast-configuration reduced setup friction for our internal harness; good balance of opinion and flexibility.

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