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Audit AI agent code for pre-deploy security risks missed by generic SAST.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.VamsiSudhakaran1/release-gate" MCP server from askskill: Run: claude mcp add 'io-github-vamsisudhakaran1-release-gate' -- npx -y release-gate
Run a pre-deployment security audit on this AI agent codebase. Focus on risks that generic SAST tools often miss, and list issues with severity and remediation advice.
A pre-deployment security audit report with risks, priorities, and remediation guidance.
We already ran a generic SAST scan. Audit this AI agent code further and highlight security issues that standard static analysis may miss.
A supplemental findings list that covers blind spots left by generic SAST.
Turn this AI agent code audit into release-gate guidance: which risks should block release and which ones can ship with conditions.
A release-gate recommendation organized by blocking severity for deployment approval.
Developers or DevOps teams use it before releasing AI agent code to catch security risks that could affect deployment. It is especially useful for covering issues a generic SAST may not catch.
When a team already has standard static analysis in place, this tool can be added as an extra audit step focused on AI agent code security. It helps improve pre-release review coverage.
It is a pre-deployment security auditing tool for AI agent code. Its purpose is to find risks that generic SAST tools may miss before release.
Based on the description, it focuses on risks that “generic SAST misses.” That makes it more of a targeted supplement for AI agent code than a simple replacement for standard static analysis.
The provided material does not include installation steps, runtime requirements, or key prerequisites. Please see the source repository for setup details.
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