Agent skill
sast-configuration
Configure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.
Install this agent skill to your Project
npx add-skill https://github.com/Microck/ordinary-claude-skills/tree/main/skills_categorized/git-workflows/sast-configuration
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:latest
# CodeQL CLI setup
gh extension install github/gh-codeql
codeql database create mydb --language=python
Reference Documentation
- Semgrep Rule Creation - Pattern-based security rule development
- SonarQube Configuration - Quality gates and profiles
- CodeQL Setup Guide - Query development and workflows
Templates & Assets
- semgrep-config.yml - Production-ready Semgrep configuration
- sonarqube-settings.xml - SonarQube quality profile template
- run-sast.sh - Automated SAST execution script
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
- OWASP Top 10 Checklist
- Container Security
- Dependency Scanning
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
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
nondominium-holochain-dna-dev
Specialized skill for nondominium Holochain DNA development, focusing on zome creation, entry patterns, integrity/coordinator architecture, ValueFlows compliance, and WASM optimization. Use when creating new zomes, implementing entry types, or modifying Holochain DNA code.
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
run-tests
Validate code changes by intelligently selecting and running the appropriate test suites. Use this when editing code to verify changes work correctly, run tests, validate functionality, or check for regressions. Automatically discovers affected test suites, selects the minimal set of venvs needed for validation, and handles test execution with Docker services as needed.
skill-navigator
The 100th skill! Your intelligent guide to all 99 other skills. Recommends the perfect skill for any task, creates skill combinations, and helps you discover capabilities you didn't know you had.
AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Didn't find tool you were looking for?