generate-project-state-report

Generate repository state and Codex framework usage reports under docs/reports.

Updated Jan 31, 2026
One-click install
npx skills add https://github.com/doesitscript/dotfile-vnext --skill generate-project-state-report
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: generate-project-state-report
Source: https://github.com/doesitscript/dotfile-vnext/tree/main/.cursor/skills/generate-project-state-report
Command: npx skills add https://github.com/doesitscript/dotfile-vnext --skill generate-project-state-report

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Produces a durable, AI-readable snapshot of the repository's current state and a Codex framework usage document to onboard AI agents and support maturity checks.

Core Features & Use Cases

  • Creates two files under docs/reports: a README.md project-state report and codex_framework_usage.md.
  • Formats outputs for AI consumption, enabling fast onboarding and consistent auditing.
  • Serves as a baseline for comparing model understanding across runs and models.

Quick Start

Direct the AI to generate the project-state report for the current repository.

Frequently Asked Questions about generate-project-state-report

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

FAQPage Schema
How do I generate an AI-readable project state report for repository onboarding?

Generate a project state report by creating a durable, AI-readable snapshot of the repository's current state. This produces a README.md and codex_framework_usage.md under docs/reports to onboard AI agents and support maturity checks.

What is a Codex framework usage document and when do I need one?

A Codex framework usage document is an AI-readable file that records how the Codex framework is utilized in a repository. You need it when onboarding AI agents or performing AI maturity checks to establish a consistent baseline for auditing.

How do I track AI model understanding across different runs of a repository audit?

Track AI model understanding by generating versioned project state reports. Outputs are created in a new directory with a date prefix and model identifier, explicitly referencing prior reports and evidence sources to compare runs and models.

Can I use this project state report generation without external dependencies?

Yes, you can generate project state reports without external dependencies. The process independently creates the README.md and codex_framework_usage.md files under docs/reports, requiring no additional components or libraries to function.

What's the best way to document evidence sources for an AI audit?

The best way to document evidence sources for an AI audit is generating a durable project state report. The output explicitly references prior reports and evidence sources, providing a structured baseline for comparing model understanding across runs.

Why does my AI agent struggle with repository onboarding without a project state report?

AI agents struggle with repository onboarding without a project state report because they lack a durable, AI-readable snapshot of the current state. Generating versioned README.md and codex_framework_usage.md files provides the necessary context for fast onboarding and consistent auditing.