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gateguard

Enforces fact-finding before edit, write, or bash operations in Claude-generated code.

2|Updated Apr 14, 2026
Search Tags:#code quality#AI-assisted development#code validation#fact-finding#gate system
One-click install
npx skills add https://github.com/klu-dev/porting-ecc-to-vscode --skill gateguard-klu-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gateguard
Source: https://github.com/klu-dev/porting-ecc-to-vscode/tree/main/.github/skills/gateguard
Command: npx skills add https://github.com/klu-dev/porting-ecc-to-vscode --skill gateguard-klu-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The gateguard Skill solves the issue of AI-generated code that may lack depth and understanding by requiring concrete investigation and validation before allowing edit/write/bash operations.

Core Features & Use Cases

  • Fact-Forcing: Ensures Claude investigates before making changes, demanding specific facts and improving code quality.
  • Pre-Action Gate: Prevents edits, writes, or bash operations without necessary investigation.
  • Use Cases: Ideal for projects with complex data schemas, multi-module codebases, and any workflow where AI code needs to align with existing patterns.

Quick Start

Activate gateguard and let Claude investigate all required facts before performing the first edit to a file in your codebase.

Frequently Asked Questions about gateguard

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

FAQPage Schema
How do I enforce fact investigation in AI-assisted development before code edits?▼

A pre-action gate system prevents AI from writing or editing files until it investigates and validates specific facts about the codebase, improving code robustness and alignment with existing patterns.

What is a fact-forcing gate system for AI code quality?▼

A fact-forcing gate is a pre-activation mechanism that blocks AI edits, writes, and bash operations until the AI investigates and validates specific facts about the codebase, ensuring robustness and depth in generated code.

Can I use a pre-activation gate for complex multi-module codebases?▼

Yes, a fact-forcing pre-activation gate is ideal for complex multi-module codebases and complex data schemas, ensuring AI investigates facts before edits to align with existing patterns.

How do I validate AI-generated code against existing data schemas?▼

You validate AI-generated code against existing data schemas by activating a fact-forcing gate, which demands the AI investigate concrete facts about the schema before allowing any edit or write operations.

Why does my AI assistant write code without understanding the existing patterns?▼

AI assistants write code without understanding existing patterns because they lack a pre-action validation step; implementing a fact-forcing gate resolves this by requiring investigation before edit/write operations.

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