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knowledge-profile-evaluator

Generate least-privilege MCP allowlists and golden question datasets for knowledge agents.

Updated Jun 1, 2026
Search Tags:#security#compliance#evaluation#mcp#governance#knowledge
One-click install
npx skills add https://github.com/aurora-atoms/lattice --skill knowledge-profile-evaluator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-profile-evaluator
Source: https://github.com/aurora-atoms/lattice/tree/main/skills/knowledge-profile-evaluator
Command: npx skills add https://github.com/aurora-atoms/lattice --skill knowledge-profile-evaluator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of uncontrolled AI knowledge access and unverified task outcomes by enforcing least-privilege access and rigorous, versioned evaluation gates.

Core Features & Use Cases

  • Least-Privilege Governance: Creates explicit read-only allowlists for MCP tools and knowledge scopes to prevent unauthorized data access.
  • Versioned Evaluation: Manages golden datasets and regression testing to ensure model answers meet strict quality, citation, and safety standards.
  • Use Case: Before deploying a new customer-facing knowledge agent, use this Skill to define the authorized knowledge boundary, generate a golden question suite, and verify that the agent correctly handles unauthorized queries and citation requirements.

Quick Start

Use the knowledge-profile-evaluator skill to generate a least-privilege task profile and a corresponding golden evaluation suite for the current project.

Frequently Asked Questions about knowledge-profile-evaluator

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

FAQPage Schema
How do I enforce least-privilege access for MCP tools before deploying an AI agent?▼

You can enforce least-privilege access for MCP tools by generating explicit read-only allowlists that define authorized knowledge boundaries and prevent unauthorized data access. This restricts agent capabilities to approved scopes.

What is a golden dataset and how does it verify AI knowledge profiles?▼

A golden dataset is a versioned evaluation suite used to regression test AI knowledge profiles. It verifies model answers meet strict quality, citation validity, and safety standards before deployment.

How do I prevent permission leakage in bounded AI tasks?▼

Prevent permission leakage in bounded AI tasks by applying deterministic profile hashing and strict governance policies to validate task outcomes. This ensures agents operate within authorized boundaries.

Can I use python3 to automate regression testing for knowledge-intensive agents?▼

Yes, you can use python3 to automate regression testing for knowledge-intensive agents by managing golden datasets and evaluating citation validity. This verifies agents handle unauthorized queries correctly.

What's the best way to validate task outcomes for customer-facing knowledge agents?▼

The best way to validate task outcomes for customer-facing knowledge agents is to define an authorized knowledge boundary, generate a golden question suite, and run regression tests. This verifies citation requirements and unauthorized query handling.

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