sast-configuration▌
wshobson/agents · updated Apr 8, 2026
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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
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
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
How to use sast-configuration on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add sast-configuration
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches sast-configuration from GitHub repository wshobson/agents and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate sast-configuration. Access the skill through slash commands (e.g., /sast-configuration) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★65 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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