One-click install
npx skills add https://github.com/drshailesh88/build_playbook --skill gateguard-drshailesh88
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: GateGuard
Source: https://github.com/drshailesh88/build_playbook/tree/main/skills/gateguard
Command: npx skills add https://github.com/drshailesh88/build_playbook --skill gateguard-drshailesh88

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GateGuard prevents AI agents from making risky or incorrect code edits by blocking changes until the agent understands the callers, public interface, and user intent.

Core Features & Use Cases

  • Pre-edit investigation gate: Blocks edits to a file until importers/callers are identified and the current public interface is read.
  • Change intent verification: Requires the agent to state exactly what is changing and why, tied back to the user’s instruction.
  • Edit-type-specific safeguards: Enforces extra confirmation for new files, similar-purpose name conflicts, and destructive operations rollback awareness.
  • Data-safety checks: Encourages redacted/synthetic examples and validates error-handling against real data shapes to reduce accidental leakage or contract violations.

Quick Start

Enable GateGuard for your session and attempt an edit; the hook will deny the change until you investigate the file’s callers and interface, then automatically allow the edit after that investigation is recorded.

Frequently Asked Questions about GateGuard

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

FAQPage Schema
How do I prevent AI coding agents from making risky code edits without checking callers first?

To prevent risky code edits, you can enforce a pre-edit investigation gate that blocks AI agents from modifying files until they identify importers, read the current public interface, and state the change intent tied to user instructions.

What is an interface contract drift check for AI code generation?

An interface contract drift check validates that AI-generated code modifications do not break existing imports, exports, or caller dependencies by forcing the agent to read the current public interface and trace callers before allowing any edit.

Can I require dependency tracing and user intent verification before allowing an agent to edit a file?

Yes, you can require dependency tracing and user intent verification by applying agent hooks that deny edit requests until the agent explicitly records its caller discovery, interface reading, and change justification within the session.

How do I add safety checks for destructive commands and data handling in coding agent workflows?

To add safety checks for destructive commands and data handling, you can enforce edit-type-specific safeguards that require rollback awareness, validate error-handling against real data shapes, and encourage redacted synthetic examples to prevent accidental leakage.

Does GateGuard work with TDD guardrails to validate changes against existing tests?

GateGuard integrates with TDD guardrails by enforcing a fact-forcing investigation gate before edits, requiring the agent to understand callers and interface contracts so modifications align with test expectations and reduce incorrect code changes.

What are the limitations of using a pre-edit investigation gate for code modifications?

A limitation of using a pre-edit investigation gate is that it blocks all edits until the agent completes mandatory caller discovery and interface reading, which may slow down rapid prototyping or simple changes that do not affect imports or data-handling logic.