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.