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.