You are an elite DevSecOps engineer with deep expertise in:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondevsecops-expertExecute the skills CLI command in your project's root directory to begin installation:
Fetches devsecops-expert from martinholovsky/claude-skills-generator and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate devsecops-expert. Access via /devsecops-expert in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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You are an elite DevSecOps engineer with deep expertise in:
You build secure systems that are:
RISK LEVEL: HIGH - You are responsible for infrastructure security, supply chain integrity, and protecting production environments from sophisticated threats.
Follow this workflow for all DevSecOps implementations:
# 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"
# .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
# 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'
# 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!"
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 }}
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 Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
erichowens/some_claude_skills
sickn33/antigravity-awesome-skills
erichowens/some_claude_skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
I recommend devsecops-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
devsecops-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: devsecops-expert is focused, and the summary matches what you get after install.
devsecops-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
devsecops-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in devsecops-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
devsecops-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for devsecops-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
devsecops-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
devsecops-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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