ai-process-assessment:generate-artifact

Generate verified project artifacts from engine-computed results.json and trace.json data.

Updated May 9, 2026
One-click install
npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-generate-artifact
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-process-assessment:generate-artifact
Source: https://github.com/grandaha/ai-process-assessment/tree/main/skills/generate-artifact
Command: npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-generate-artifact

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This skill eliminates the risk of fabricated numbers and stale data in AI engagement deliverables by enforcing a strict, deterministic link between the engine's computational results and the final output.

Core Features & Use Cases

  • Deterministic Rendering: Automatically generates CFO-grade audits, executive one-pagers, and CSV exports directly from the verified engine contract.
  • Automated Verification: Uses a built-in manifest check to ensure every figure in the artifact matches the source-of-truth results.json, blocking emission if discrepancies or missing inputs are detected.
  • Use Case: When a client requests a financial audit of proposed AI initiatives, this skill renders a professional, source-cited report that proves every cost and saving figure using the underlying trace data.

Quick Start

Run the generate-artifact skill to create a CFO audit for the current engagement folder.

Frequently Asked Questions about ai-process-assessment:generate-artifact

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

FAQPage Schema
Does automated report generation verify numbers against source data?

Yes, automated verification blocks report emission if discrepancies or missing inputs are detected. A built-in manifest check ensures every figure in the artifact exactly matches the source-of-truth results.json file before rendering.

What file structure is required for AI project audit reporting?

AI project audit reporting requires a valid engagement folder structure containing results.json and trace.json files. These files provide the source-of-truth computational data and provenance evidence needed to ensure data integrity for the final artifact.

How to prevent fabricated numbers in AI consulting engagement deliverables?

Preventing fabricated numbers in AI consulting deliverables requires enforcing a strict, deterministic link between the engine's computational results and the final output. This skill automatically cites underlying trace data to prove every cost and saving figure.

Can I export CSV files directly from financial audit engine results?

Yes, you can export CSV files directly from the verified engine contract. The skill renders professional, source-cited reports, executive one-pagers, and CSV exports deterministically from the mapped computational data.

What happens if trace data is missing during automated artifact generation?

If trace data or results.json files are missing during artifact generation, the automated manifest check detects the missing inputs and blocks emission. This prevents discrepancies and ensures only fully verified data is rendered into reports.