Evaluate research completeness and output a JSON completion status.
npx skills add https://github.com/prathamchopra001/INQUIRO --skill completion-check
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
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.
Use the completion_check skill to evaluate if the research on 'biodiversity monitoring' has gathered sufficient evidence.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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