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completion_check

Evaluate research completeness and output a JSON completion status.

Updated Mar 11, 2026

Search Tags:#research evaluation #completeness check #data sufficiency #methodology assessment #discovery report #objective clarity

Ready to run

npx skills add https://github.com/prathamchopra001/INQUIRO --skill completion-check

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: completion_check
Source: https://github.com/prathamchopra001/INQUIRO/tree/main/skills/completion_check
Command: npx skills add https://github.com/prathamchopra001/INQUIRO --skill completion-check

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill evaluates whether a research process has gathered enough evidence to generate a meaningful discovery report, ensuring objectives are met with sufficient data and rigorous methodology.

Core Features & Use Cases

Objective Clarity Assessment: Determines if the research goal is specific and measurable.
Data Sufficiency Evaluation: Assesses the quality and relevance of data collected.
Methodological Rigor Check: Verifies the soundness and clarity of the research methods used.
Use Case: After an AI scientist completes its research cycles, this skill can be invoked to determine if the findings are substantial enough to compile a final report, preventing premature or incomplete conclusions.

Quick Start

Use the completion_check skill to evaluate if the research on 'biodiversity monitoring' has gathered sufficient evidence.

Frequently Asked Questions about completion_check

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

FAQPage Schema

How do I check if my research data is sufficient for a discovery report?▼

Evaluating research completeness involves assessing objective clarity, data sufficiency, and methodological rigor. This structured validation process ensures your research has gathered enough evidence to generate a meaningful discovery report and prevents premature conclusions.

What is research methodology assessment and when do I need it?▼

Research methodology assessment verifies the soundness and clarity of methods used in a study. You need this methodological rigor check before finalizing a discovery report to ensure the research process has gathered enough evidence and prevents incomplete conclusions.

How do I evaluate objective clarity in a data analysis workflow?▼

Evaluating objective clarity in a data analysis workflow involves determining if the research goal is specific and measurable. This assessment ensures the data analysis maintains focus and validates that the research objectives are met with sufficient data.

Does the completeness check output structured data for automated validation?▼

Yes, the completeness check outputs a structured JSON format indicating completion status, confidence score, and rationale. This structured output supports automated decision-making in data analysis workflows requiring validation before report generation.

When should I not use an automated research evaluation process?▼

You should not use automated research evaluation when the initial research objective lacks specificity and measurable criteria. Without clear goals, the completeness check cannot accurately assess data sufficiency or methodological rigor to validate the discovery report.