auth-validator

Evaluate user access across four authorization layers for autonomous skills.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/bizcad/RoadTrip --skill auth-validator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auth-validator
Source: https://github.com/bizcad/RoadTrip/tree/main/skills/auth-validator
Command: npx skills add https://github.com/bizcad/RoadTrip --skill auth-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Auth validator enforces a four-layer authorization model to ensure safe, auditable execution of autonomous skills.

Core Features & Use Cases

  • Enforces visibility, execution permissions, tool access, and resource access checks for each skill.
  • Supports MFA requirements and deterministic decision paths for verifiable behavior.
  • Provides actionable error outputs and recovery guidance for failed layers in enterprise environments.

Quick Start

Provide a sample user identity, skill name, and resource to trigger the evaluation and obtain a structured decision.

Frequently Asked Questions about auth-validator

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

FAQPage Schema
How do I enforce runtime authorization for autonomous skills?

Runtime authorization for autonomous skills is enforced by evaluating user access across four independent layers: visibility, execution permissions, tool-level access, and resource-level controls, producing auditable outcomes.

What is the best way to implement MFA requirements and policy-driven access control for autonomous agents?

Implement MFA requirements and policy-driven group checks by applying a four-layer authorization model that supports deterministic decision paths and verifiable behavior for autonomous skills.

How do I start an access-control audit for a specific user and resource?

To start an access-control audit, provide a sample user identity, skill name, and resource to trigger the evaluation, which returns a structured decision with clear failure modes and recovery guidance.

Does this authorization model provide actionable recovery guidance when a permission check fails?

Yes, the authorization model provides actionable error outputs and specific recovery guidance for failed layers, ensuring enterprise environments can quickly resolve visibility, execution, tool access, or resource permission issues.

Can I verify tool-level access and resource permissions separately for enterprise skills?

Yes, you can verify tool-level access and resource permissions separately because the four-layer model evaluates visibility, execution permissions, tool access, and resource access independently with deterministic decision paths.