gatekeeper-skill

Analyze verification status and review findings to allow, block, or defer command execution.

Updated Jun 27, 2026
One-click install
npx skills add https://github.com/truongnat/aix --skill gatekeeper-skill-truongnat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gatekeeper-skill
Source: https://github.com/truongnat/aix/tree/main/content/skills/gatekeeper
Command: npx skills add https://github.com/truongnat/aix --skill gatekeeper-skill-truongnat

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the decision-making process for whether a command should be allowed in AI engineering workflows, reducing the need for manual review and improving efficiency.

Core Features & Use Cases

  • Automated Decision Making: Determines whether a command should be allowed based on verification status and review findings.
  • Use Case: Before executing a 'harness-ship' command, the Skill checks the verification status and review findings to decide if the command should proceed, block, or defer.
  • Scalability: Designed to handle multiple scenarios and can be integrated into various engineering workflows.

Quick Start

Use the gatekeeper skill to decide whether to allow or block the next command in your AI engineering workflow.

Frequently Asked Questions about gatekeeper-skill

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

FAQPage Schema
How do I automate gatekeeping decisions for AI engineering workflows?

Automated gatekeeping decisions evaluate verification status and review findings to determine whether a command should proceed, block, or defer. This reduces manual review time and enhances workflow efficiency for command execution.

What is decision automation for command execution in engineering workflows?

Decision automation for command execution analyzes verification status and review findings to decide if an action is allowed. It scales across multiple engineering scenarios to minimize manual intervention and improve processing speed.

How do I set up workflow automation to allow or block commands based on verification status?

Workflow automation gatekeeping checks verification status and review findings before a command executes. The Skill decides whether to proceed, block, or defer the action, integrating directly into existing engineering workflows.

Can I use decision automation for multiple scenarios in my engineering workflow?

Decision automation is designed for scalability and handles multiple scenarios within AI engineering workflows. It integrates into various processes to automate command execution decisions based on verification and review data.

What is the best way to reduce manual review time for command execution?

Automated gatekeeping reduces manual review time by analyzing verification status and review findings to decide if a command should proceed, block, or defer. This approach scales across multiple engineering workflow scenarios.

Why does my automated gatekeeping decision defer or block a command?

Gatekeeping decisions block or defer commands based on negative verification status or unfavorable review findings. The automation analyzes these inputs to determine whether command execution should proceed safely.