Authensor Gateway

Intercept AI tool calls and enforce security policies before execution.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/dfpalhano/openclaw-workspace --skill authensor-gateway
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Authensor Gateway
Source: https://github.com/dfpalhano/openclaw-workspace/tree/main/skills/authensor-gateway
Command: npx skills add https://github.com/dfpalhano/openclaw-workspace --skill authensor-gateway

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill acts as a critical security layer, intercepting and validating all tool calls made by the AI before they are executed, ensuring they comply with your defined security policies and preventing potentially harmful actions.

Core Features & Use Cases

  • Policy Enforcement: Automatically checks tool calls against predefined rules for low-risk, high-risk, and dangerous actions.
  • Approval Workflow: Requires user approval for high-risk actions, providing a human-in-the-loop safeguard.
  • Action Blocking: Blocks dangerous actions by default, protecting against destructive operations.
  • Data Minimization: Only sends action metadata (type, redacted resource) to the control plane, never sensitive user data.
  • Use Case: When an AI attempts to execute a command like rm -rf / or access sensitive files like ~/.ssh/id_rsa, Authensor Gateway will either block it outright or require your explicit approval, preventing accidental or malicious damage.

Quick Start

Use the authensor-gateway skill to read the file '/tmp/test.txt'.

Frequently Asked Questions about Authensor Gateway

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

FAQPage Schema
How do I enforce a security policy for AI tool calls?

To enforce a security policy for AI tool calls, you need a fail-safe gate that intercepts actions before execution and categorizes them into low-risk automatic executions, high-risk approvals, or blocked dangerous actions.

How can I require human approval for high-risk AI actions?

You can require human approval for high-risk AI actions by implementing an approval workflow that intercepts tool calls and pauses execution until explicit user permission is granted. Authensor Gateway enforces this human-in-the-loop safeguard automatically.

What is the best way to block dangerous AI commands like rm -rf?

The best way to block dangerous AI commands like rm -rf is to use a policy enforcement gateway that categorizes destructive operations as dangerous and blocks them by default. Authensor Gateway intercepts and prevents these destructive operations before execution.

How does data minimization work for AI access control?

Data minimization for AI access control works by intercepting tool calls and only sending action metadata, such as type and redacted resource, to the control plane instead of sensitive user data. Authensor Gateway redacts sensitive information before transmission.

Do I need any dependencies to set up AI safety policy enforcement?

You do not need any external dependencies to set up AI safety policy enforcement with Authensor Gateway, as it operates without requiring additional modules or components to validate tool usage against predefined rules.

When should I use an AI tool validation gateway?

You should use an AI tool validation gateway when your AI interacts with file systems or executes commands, such as accessing sensitive files like ~/.ssh/id_rsa. Authensor Gateway provides a fail-safe policy gate to prevent accidental or malicious damage.