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Skill Details

Runtime
(claude-4-8-opus)
Example user message
[userMessage]: CI/CD Configuration (GitHub Actions - main.yml):name: CI Pipeline on: [push] jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - name: Run Build run: | export DB_PASSWORD=mySuperSecret123 npm install npm run build - name: Deploy run: ./deploy.sh --privileged
Example agent response
Executive Summary: The pipeline presents critical security risks due to hardcoded credentials and excessive container privileges, significantly increasing the attack surface. ​Security & Performance Audit: ​Critical: Hardcoded Secrets The DB_PASSWORD is defined directly in the shell script. This exposes the database credentials to anyone with read access to the repository logs or configuration. ​Critical: Excessive Privilege The deployment script is executed with --privileged flags. This allows the container to bypass system constraints, which is unnecessary and poses a high security risk if a supply chain attack occurs. ​Medium: Lack of Caching npm install is executed without caching dependencies, which is a major efficiency bottleneck increasing build times on every commit. ​Optimization Proposals: ​Use Secrets Management: Replace the hardcoded password with GitHub Secrets. Use env: DB_PASSWORD: ${{ secrets.DB_PASSWORD }} in the YAML. ​Remove Privileged Mode: Evaluate the deployment script to remove the need for --privileged. Use specific capabilities instead, or refactor the deployment to use a dedicated service account. ​Implement Caching: Add an action like actions/cache@v3 to cache the node_modules directory, reducing build times by skipping redundant downloads. ​Closing Note: I recommend integrating a static analysis security testing (SAST) tool like 'Trivy' or 'CodeQL' into your pipeline to automatically detect these security patterns before deployment.
🟧 Claude Skill

Devsecops Pipeline Auditor

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CLAUDE-4-8-OPUS
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Automate your infrastructure security and performance reviews. This DevSecOps Auditor analyzes CI/CD pipeline files (YAML/Actions) to detect security vulnerabilities, secret leaks, and build bottlenecks. Using a strict 3-layer architecture—Role, Chain of Thought, and structured Output—it provides expert-level hardening strategies without using tables. Perfect for DevOps engineers looking to scale pipelines securely and optimize build times.
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