ship-safe

Audit software security across code and configurations with parallel agents.

25|10|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/neuron-one/GODMODE --skill ship-safe-neuron-one
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ship-safe
Source: https://github.com/neuron-one/GODMODE/tree/main/skills/security/ship-safe
Command: npx skills add https://github.com/neuron-one/GODMODE --skill ship-safe-neuron-one

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Conventional security reviews struggle to catch all vulnerabilities across large codebases and configurations, leaving risky gaps before production.

Core Features & Use Cases

  • 16 parallel security agents scan across 80+ attack classes for rapid, comprehensive coverage.
  • Detects prompt injection vectors, RAG data poisoning, API key leaks, supply chain risks, MCP misconfiguration, authentication and authorization flaws.
  • Produces structured output with severity levels to guide remediation before deployment.

Quick Start

Launch Ship Safe to perform a comprehensive security sweep of your codebase.

Frequently Asked Questions about ship-safe

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to check for MCP misconfigurations and prompt injection vulnerabilities?

A multi-agent security scan audits code and configurations by deploying 16 parallel agents. They detect prompt injection vectors, API key leaks, supply chain risks, and MCP misconfiguration to identify vulnerabilities across large codebases.

How do I detect RAG data poisoning and API key leaks in my software dependencies?

Yes, you can use parallel agents to scan for authentication and authorization flaws. The security audit covers 80+ attack classes, detecting API key leaks, supply chain risks, and RAG data poisoning alongside auth reviews.

Does a multi-agent security scan work for pre-production dependency audits?

Detect RAG data poisoning and API key leaks by running an automated dependency audit. The multi-agent security scan identifies supply chain risks and leaked credentials, providing structured output with severity levels for remediation.

What are the limitations of automated security reviews for large codebases?

Yes, a multi-agent security scan works for pre-production dependency audits. It applies to pre-production deployments, thoroughly reviewing dependencies, configurations, and code to catch vulnerabilities before reaching production.

How do I run a security audit across a large codebase before production deployment?

Automated security reviews for large codebases provide comprehensive coverage across 80+ attack classes but may require manual interpretation of structured severity-based output. They focus on identifying vulnerabilities, prompt injection, and misconfigurations rather than automatically patching them.