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catpilot-security-core

Detect secrets and guard unsafe cloud CLI actions in coding workflows.

2|4|Updated Feb 2, 2026
Search Tags:#security#secrets#cloud-cli#ai code review#cloud safety#prevent leaks
One-click install
npx skills add https://github.com/catpilotai/catpilot-ai-guardrails --skill catpilot-security-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: catpilot-security-core
Source: https://github.com/catpilotai/catpilot-ai-guardrails/tree/main/skills/catpilot-security-core
Command: npx skills add https://github.com/catpilotai/catpilot-ai-guardrails --skill catpilot-security-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides comprehensive security guardrails to prevent sensitive data leaks and unsafe cloud commands during AI code generation and execution.

Core Features & Use Cases

  • Secret blocking: Detects and prevents hardcoded secrets like API keys or passwords in code and configs.
  • Cloud CLI safety: Ensures cloud commands are executed with caution, query-before-act, and proper confirmation steps.
  • Use Case: Protect a development environment from accidental credential exposure by preventing secrets from being committed or executed.
  • Operational Scope: Applies to code editing, diffs, shell commands, and CI/CD pipelines dealing with cloud resources.
  • Technical Requirements: Integrates with code and command review processes, leveraging regex pattern matching and workflow checks.

Quick Start

Implement security guardrails to block secret leaks and risky cloud commands before code deployment or execution.

Frequently Asked Questions about catpilot-security-core

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

FAQPage Schema
How do I prevent hardcoded API keys from leaking in AI generated code?▼

To prevent hardcoded secrets like API keys from leaking in AI generated code, you need security guardrails that detect and block sensitive data in code and configs before deployment. This ensures secure handling across your workflows.

How can I enforce review protocols for cloud CLI commands in AI coding workflows?▼

You can enforce review protocols for cloud CLI commands by applying query-before-act safety rules and confirmation steps to shell commands. This guards against unsafe cloud actions during AI code generation and execution.

Does this security baseline work with CI/CD pipelines and cloud resources?▼

Yes, this security baseline works with CI/CD pipelines and cloud resources by applying guardrails to code editing, diffs, and shell commands. It integrates with your review processes to prevent sensitive data leaks.

What is the best way to block risky cloud commands before code execution?▼

The best way to block risky cloud commands is to implement safety guardrails that enforce caution and proper confirmation steps before execution. This prevents accidental credential exposure and unsafe actions in production environments.

How does regex pattern matching detect secrets in code and configs?▼

Regex pattern matching detects secrets in code and configs by scanning code edits and diffs against known sensitive data formats. This workflow check blocks hardcoded passwords and API keys during AI code generation.

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