secure-orchestration

Score and gate LLM workflows by security risk and approval policies.

10|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/verivus-oss/llm-cli-gateway --skill secure-orchestration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: secure-orchestration
Source: https://github.com/verivus-oss/llm-cli-gateway/tree/main/.agents/skills/secure-orchestration
Command: npx skills add https://github.com/verivus-oss/llm-cli-gateway --skill secure-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures high-security AI operations with risk assessment and approval gates for Claude, Codex, Gemini, Grok, and Mistral Vibe, safeguarding sensitive data and critical operations.

Core Features & Use Cases

  • Risk Assessment & Approval: Score and gate AI workflows based on predefined security policies.
  • Uniform Security Policy: Apply uniform security policies across multiple AI tools.
  • Use Case: Automate high-risk code generation tasks by running them through the Skill, which enforces strict approval thresholds before execution.

Quick Start

Enable the Skill for your next AI operation: claude_request({prompt:"Refactor auth module",approvalStrategy:"mcp_managed",approvalPolicy:"strict"}).

Frequently Asked Questions about secure-orchestration

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

FAQPage Schema
How do I enforce approval gates before executing LLM workflows?

You can enforce approval gates for LLM workflows by applying a security-conscious orchestration platform that scores operations based on predefined security risk policies and blocks execution until approval thresholds are met.

Can I apply a uniform security policy across multiple AI services like Claude and Gemini?

Yes, you can apply a uniform security policy across multiple AI services including Claude, Codex, Gemini, Grok, and Mistral Vibe to safeguard sensitive data and ensure consistent risk management.

How does risk scoring work for AI code generation tasks?

Risk scoring for AI code generation tasks works by evaluating the requested operation against predefined security policy thresholds, requiring strict approval before any high-risk execution proceeds.

What is the best way to automate high-risk code generation securely?

The best way to automate high-risk code generation securely is to route tasks through an orchestration platform that enforces strict approval thresholds and validates security policies before operation execution.

Do I need to specify an approval strategy when making AI requests?

Yes, you need to specify an approval strategy and policy in your request parameters, such as setting an mcp_managed strategy with a strict policy, to ensure operations trigger the necessary risk assessment gates.