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Scan CI systems for security risks using live compromised-component threat intelligence.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Baneado98/ci-sentinel" MCP server from askskill: Run: claude mcp add --transport http 'io-github-baneado98-ci-sentinel' 'https://ci-sentinel.vercel.app/mcp'
Scan our current GitHub Actions and GitLab CI configurations, identify third-party CI components with security risks, and flag compromised or suspicious components using live threat intelligence. Return recommendations by risk level.
A severity-ranked risk report with affected components, threat details, and remediation advice.
Before release, check whether our CI/CD workflow uses any known compromised build plugins, Actions, or runner components, and list items that should be replaced, upgraded, or isolated immediately.
A pre-release security check result highlighting high-risk components and the required actions.
Continuously monitor our CI component inventory using live threat intelligence. If newly compromised components or critical vulnerabilities are found, generate an alert summary and remediation priority recommendations.
An ongoing monitoring alert summary with newly found risks, impact scope, and remediation priorities.
Scan Python projects and GitHub repos for vulnerabilities, secrets, and AI risk insights.
Scan AI-generated code for injections, secrets, SSRF, and risky patterns.
Analyze codebase health to find dead code, dependency cycles, and architecture drift.
Run comprehensive code and config security scans for AI coding assistants.
Scan project risks and quality issues with a health score and fixes.
Scan Claude Code configs for vulnerabilities, misconfigurations, and prompt injection risks.