dlc-audit

Score AI-DLC process adherence across nine dimensions with remediation guidance.

2|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/msifoss/ai-dlc --skill dlc-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dlc-audit
Source: https://github.com/msifoss/ai-dlc/tree/main/skills/skills/dlc-audit
Command: npx skills add https://github.com/msifoss/ai-dlc --skill dlc-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep assessment of AI-DLC process adherence goes beyond surface checks to determine whether practices are truly being followed, providing a precise maturity view.

Core Features & Use Cases

  • 9-dimension scoring across foundations, architecture, governance, and operations to quantify compliance.
  • Maturity mapping with letter-grade equivalents and actionable remediation guidance for teams.
  • Dashboard-ready output enabling quick governance reviews and prioritized improvements.

Quick Start

Run an initial assessment to produce a dashboard-ready report for your AI-DLC process.

Frequently Asked Questions about dlc-audit

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

FAQPage Schema
What is AI-DLC compliance auditing and how does the scoring work?

AI-DLC compliance auditing quantifies process adherence across nine dimensions using a 0-10 scoring model. It analyzes foundational docs, governance, architecture, and operations to produce a compliance dashboard with letter-grade mapping and a maturity rating.

How do I assess my project's AI-DLC maturity and governance readiness?

You can assess AI-DLC maturity by applying a structured scoring model to your project repos. The audit evaluates foundational docs, architecture, and operational readiness, generating a dashboard-ready report with a maturity rating and recommended remediation steps.

Can I use this audit for repositories lacking formal governance documentation?

Yes, you can audit repositories lacking formal governance documentation. The assessment quantifies process adherence across nine dimensions, meaning missing foundational docs will yield lower per-dimension scores and trigger specific remediation guidance to improve compliance.

What is the best way to generate a dashboard-ready compliance report for AI development?

The best way to generate a dashboard-ready compliance report is running an assessment that applies a 9-dimension scoring model to your project repos. This produces a 0-10 per-dimension score, letter-grade mapping, and maturity rating for quick governance reviews.

Does the audit provide actionable remediation for low AI-DLC compliance scores?

Yes, the audit provides actionable remediation for low AI-DLC compliance scores. Beyond generating a 0-10 score per dimension, the assessment outputs a maturity mapping with letter-grade equivalents and specific recommended remediation guidance to help teams improve.

What dimensions are evaluated in an AI-DLC foundational and operational readiness audit?

An AI-DLC foundational and operational readiness audit evaluates nine dimensions covering foundations, architecture, governance, and operations. This structured scoring model quantifies process adherence to produce a comprehensive maturity view of your project.