intake-audit

Audit and normalize existing research state, ranking asset trustworthiness and reconciling conflicts.

Updated May 24, 2026
One-click install
npx skills add https://github.com/leoplasture/STA304_Final_Project --skill intake-audit-leoplasture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: intake-audit
Source: https://github.com/leoplasture/STA304_Final_Project/tree/main/src/skills/intake-audit
Command: npx skills add https://github.com/leoplasture/STA304_Final_Project --skill intake-audit-leoplasture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of auditing and normalizing existing research state, ensuring a reliable starting point for subsequent work.

Core Features & Use Cases

  • State Audit: Audits existing baselines, results, drafts, and review materials.
  • Trust Ranking: Determines the trustworthiness of assets and identifies reusable components.
  • Reconciliation: Reconciles conflicting or missing state, providing a clear path forward.
  • Use Case: When restarting a research quest that already has a significant amount of existing work, this Skill helps you quickly understand the current state and make informed decisions about the next steps.

Quick Start

Start the intake-audit skill to begin the state audit process.

Frequently Asked Questions about intake-audit

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

FAQPage Schema
How do I audit existing research state before restarting a project?

Auditing existing research state involves evaluating pre-existing baselines, drafts, and experiments to identify trustworthy assets and resolve conflicts. This reconciliation normalizes the current state, ensuring a reliable starting point for restarting your research workflow.

What is the best way to rank the trustworthiness of existing research assets?

Trust ranking of research assets is determined through a structured state audit of existing baselines and experiments. This process evaluates asset reliability, identifies reusable components, and reconciles missing or conflicting data to establish a trustworthy foundation.

How do I reconcile conflicting data in my research workflow?

Reconciling conflicting data in a research workflow requires auditing existing baselines and experiments to identify discrepancies. By applying a structured approach to state management, you can normalize results and provide a clear path forward for deep exploration.

Can I use this state audit approach for research with only drafts and review materials?

Yes, the state audit applies to research quests containing pre-existing baselines, experiments, analysis, drafts, or review materials. It evaluates these assets to determine trustworthiness and identifies reusable components before deep exploration begins.

Why do I need to normalize research state before deep exploration?

Normalizing research state before deep exploration ensures a reliable starting point by resolving conflicting or missing data. This structured state management allows you to quickly understand the current research status and make informed decisions about next steps.