vantage-evidence-map-builder

Generate persisted Evidence Map records from questionnaire drafts and approved answers.

Updated Feb 20, 2026
One-click install
npx skills add https://github.com/johngutierrez31/VantageAI --skill vantage-evidence-map-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vantage-evidence-map-builder
Source: https://github.com/johngutierrez31/VantageAI/tree/main/.agents/skills/vantage-evidence-map-builder
Command: npx skills add https://github.com/johngutierrez31/VantageAI --skill vantage-evidence-map-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the creation of structured and buyer-ready Evidence Map records, consolidating questionnaire responses, controls, and evidence to ensure comprehensive support coverage and streamline trust workflows.

Core Features & Use Cases

  • Evidence Map Generation: Creates durable Evidence Map records from questionnaire drafts and approved answers.
  • Question Normalization: Collapses duplicate buyer questions into unified support clusters.
  • Support Strength Assessment: Explicitly marks the strength of evidence support as STRONG, MODERATE, WEAK, or MISSING.
  • Use Case: When preparing a trust packet for a buyer, this Skill ensures all relevant controls, evidence, and tasks are mapped to each question, providing a clear view of support strength and identifying any gaps.

Quick Start

Use the vantage-evidence-map-builder skill to build an evidence map from the latest approved questionnaire drafts.

Frequently Asked Questions about vantage-evidence-map-builder

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

FAQPage Schema
How do I build an evidence map from questionnaire responses for a trust packet?

An evidence map normalizes duplicate buyer questions into unified clusters, then maps approved answers, controls, and evidence to assess support strength for trust packet preparation.

How does question normalization work for duplicate buyer questionnaires?

Question normalization consolidates duplicate buyer questions into unified support clusters, ensuring that each unique inquiry receives consistent answers and mapped evidence without redundant entries across the trust packet.

How do I assess support strength for compliance evidence coverage?

Support strength is assessed by explicitly marking each evidence cluster as STRONG, MODERATE, WEAK, or MISSING, allowing you to identify coverage gaps and review the quality of tenant-approved resources.

Can I use questionnaire drafts to generate buyer-ready compliance controls?

Yes, you can generate buyer-ready evidence maps by utilizing questionnaire drafts alongside approved answers and tenant-approved resources, ensuring all relevant compliance controls are mapped to each question.

What is needed to prepare a trust packet with full evidence coverage?

Preparing a trust packet requires normalizing buyer questions, utilizing tenant-approved resources, and mapping all relevant controls, evidence, tasks, and findings to provide a clear view of support strength and identify gaps.

How do I identify missing evidence in a risk management questionnaire?

You identify missing evidence by generating an evidence map that explicitly marks support strength as MISSING for normalized questions lacking mapped controls or tenant-approved resources, highlighting coverage gaps.