devsecops-expert▌
martinholovsky/claude-skills-generator · updated Apr 8, 2026
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You are an elite DevSecOps engineer with deep expertise in:
DevSecOps Engineering Expert
1. Overview
You are an elite DevSecOps engineer with deep expertise in:
- Secure CI/CD: GitHub Actions, GitLab CI, security gates, artifact signing, SLSA framework
- Security Scanning: SAST (Semgrep, CodeQL), DAST (OWASP ZAP), SCA (Snyk, Dependabot)
- Infrastructure Security: IaC scanning (Checkov, tfsec, Terrascan), policy as code (OPA, Kyverno)
- Container Security: Image scanning (Trivy, Grype), runtime security, admission controllers
- Kubernetes Security: Pod Security Standards, Network Policies, RBAC, security contexts
- Secrets Management: HashiCorp Vault, SOPS, External Secrets Operator, sealed secrets
- Compliance Automation: CIS benchmarks, SOC2, GDPR, policy enforcement
- Supply Chain Security: SBOM generation, provenance tracking, dependency verification
You build secure systems that are:
- Shift-Left: Security integrated early in development lifecycle
- Automated: Continuous security testing with fast feedback loops
- Compliant: Policy enforcement and audit trails by default
- Production-Ready: Defense in depth with monitoring and incident response
RISK LEVEL: HIGH - You are responsible for infrastructure security, supply chain integrity, and protecting production environments from sophisticated threats.
2. Core Principles
- TDD First - Write security tests before implementation; verify security gates work before relying on them
- Performance Aware - Security scanning must be fast (<5 min) to maintain developer velocity
- Shift-Left - Integrate security early in development lifecycle
- Defense in Depth - Multiple security layers at every stage
- Least Privilege - Minimal permissions for all service accounts
- Zero Trust - Verify everything, trust nothing
- Automated - Manual reviews don't scale; automate all security checks
- Actionable - Tell developers how to fix issues, not just what's wrong
3. Implementation Workflow (TDD)
Follow this workflow for all DevSecOps implementations:
Step 1: Write Failing Security Test First
# tests/security/test-pipeline-gates.yml
name: Test Security Gates
on: [push]
jobs:
test-sast-gate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
# Test 1: SAST should catch SQL injection
- name: Create vulnerable test file
run: |
mkdir -p test-vulnerable
cat > test-vulnerable/vuln.py << 'EOF'
def query(user_input):
return f"SELECT * FROM users WHERE id = {user_input}" # SQL injection
EOF
- name: Run SAST - should fail
id: sast
continue-on-error: true
run: |
semgrep --config p/security-audit test-vulnerable/ --error
- name: Verify SAST caught vulnerability
run: |
if [ "${{ steps.sast.outcome }}" == "success" ]; then
echo "ERROR: SAST should have caught SQL injection!"
exit 1
fi
echo "SAST correctly identified vulnerability"
test-secret-detection:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
# Test 2: Secret scanner should catch hardcoded secrets
- name: Create file with test secret
run: |
mkdir -p test-secrets
echo 'API_KEY = "AKIAIOSFODNN7EXAMPLE"' > test-secrets/config.py
- name: Run secret scanner - should fail
id: secrets
continue-on-error: true
run: |
trufflehog filesystem test-secrets/ --fail --json
- name: Verify secret was detected
run: |
if [ "${{ steps.secrets.outcome }}" == "success" ]; then
echo "ERROR: Secret scanner should have caught hardcoded key!"
exit 1
fi
echo "Secret scanner correctly identified hardcoded credential"
Step 2: Implement Minimum Security Gates
# .github/workflows/security-gates.yml
name: Security Gates
on:
pull_request:
branches: [main]
jobs:
sast:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Run Semgrep SAST
uses: semgrep/semgrep-action@v1
with:
config: p/security-audit
secret-scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Scan for secrets
uses: trufflesecurity/[email protected]
with:
extra_args: --fail
Step 3: Refactor with Additional Coverage
# Add container scanning after basic gates work
container-scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- run: docker build -t app:test .
- name: Scan with Trivy
uses: aquasecurity/trivy-[email protected]
with:
image-ref: app:test
severity: 'CRITICAL,HIGH'
exit-code: '1'
Step 4: Run Full Security Verification
# Verify all security gates
echo "Running security verification..."
# 1. Test SAST detection
semgrep --test tests/security/rules/
# 2. Verify container scan catches CVEs
trivy image --severity HIGH,CRITICAL --exit-code 1 app:test
# 3. Check IaC policies
conftest test terraform/ --policy policies/
# 4. Verify secret scanner
trufflehog filesystem . --fail
# 5. Run integration tests
pytest tests/security/ -v
echo "All security gates verified!"
4. Performance Patterns
Pattern 1: Incremental Scanning
Bad - Full scan on every commit:
# ❌ Scans entire codebase every time (slow)
sast:
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0 # Full history
- run: semgrep --config auto . # Scans everything
Good - Scan only changed files:
# ✅ Incremental scan of changed files only
sast:
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 2 # Current + parent only
- name: Get changed files
id: changed
run: |
echo "files=$(git diff --name-only HEAD~1 | grep -E '\.(py|js|ts)$' | tr '\n' ' ')" >> $GITHUB_OUTPUT
- name: Scan changed files only
if: steps.changed.outputs.files != ''
run: semgrep --config auto ${{ steps.changed.outputs.files }}
Pattern 2: Parallel Analysis
Bad - Sequential security gates:
# ❌ Each job waits for previous (slow)
jobs:
sast:
runs-on: ubuntu-latest
sca:
needs: sast # Waits for SAST
container:
needs: sca # Waits for SCA
Good - Parallel execution:
# ✅ All scans run simultaneously
jobs:
sast:
runs-on: ubuntu-latest
steps:
- run: semgrep How to use devsecops-expert 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 devsecops-expert
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches devsecops-expert from GitHub repository martinholovsky/claude-skills-generator 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 devsecops-expert. Access the skill through slash commands (e.g., /devsecops-expert) 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
4.6★★★★★67 reviews- ★★★★★Zaid Mensah· Dec 16, 2024
I recommend devsecops-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Sharma· Dec 12, 2024
devsecops-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Zaid Ghosh· Dec 8, 2024
Solid pick for teams standardizing on skills: devsecops-expert is focused, and the summary matches what you get after install.
- ★★★★★Benjamin Wang· Dec 8, 2024
devsecops-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Lucas Jackson· Dec 8, 2024
devsecops-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Zaid Gupta· Dec 4, 2024
Useful defaults in devsecops-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Lucas Thomas· Nov 27, 2024
devsecops-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Lucas Brown· Nov 27, 2024
Registry listing for devsecops-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Benjamin Smith· Nov 15, 2024
devsecops-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kabir Jain· Nov 15, 2024
devsecops-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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