input-checker

Classify and reformat scientific documents into structured paper-like sections for critique.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/j-walheim/Critical-AI-Scientist --skill input-checker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: input-checker
Source: https://github.com/j-walheim/Critical-AI-Scientist/tree/main/agent_definition/.claude/skills/input-checker
Command: npx skills add https://github.com/j-walheim/Critical-AI-Scientist --skill input-checker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill standardizes diverse scientific document formats into a consistent, structured scientific paper format, ensuring all necessary components are present for a robust critique pipeline.

Core Features & Use Cases

  • Input Classification: Identifies input type (hypothesis, abstract, full paper, presentation, protocol, other).
  • Content Reformatting: Transforms various document types into a structured, paper-like format with predefined sections.
  • Use Case: Submit a raw research abstract, and the skill will reformat it into a structured document including sections for Hypothesis, Study Design, Key Results, and Questions for Critique, ready for AI analysis.

Quick Start

Use the input-checker skill to reformat the provided research abstract into a structured scientific document.

Frequently Asked Questions about input-checker

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

FAQPage Schema
How do I structure a research abstract for scientific critique?

Document classification identifies the input type, such as a hypothesis, abstract, full paper, presentation, or protocol. Recognizing the scientific input type ensures the document transformation applies the correct predefined sections for critique.

Can I reformat a full research paper into a standardized protocol format?

Yes, you can reformat a full research paper into a structured, paper-like format. The process standardizes diverse scientific document formats into predefined sections, ensuring all necessary components are consistently present for a robust critique pipeline.

Does the input structuring process preserve quantitative data from presentations?

Yes, input structuring preserves all quantitative data from presentations. The content reformatting process ensures that all quantitative data and key claims are explicitly preserved and enumerated for downstream analysis.

What is the best way to prepare diverse scientific documents for AI analysis?

The best way to prepare diverse scientific documents for AI analysis is standardizing them into a consistent, structured scientific paper format. This validates the content and transforms various inputs into predefined sections ready for critique.