Does it verify the factual accuracy of external citations?

No, this skill focuses on internal logic and whether your claims are supported by the evidence presented in the text; it does not have the capability to verify external paper databases.

What is hedging calibration?

It is the process of matching the strength of your language (e.g., using 'suggests' vs 'demonstrates') to the actual strength and type of evidence you have provided.

Can it detect inconsistent technical terminology?

Yes, it performs a terminology consistency audit to ensure that the same concepts are referred to by the same terms throughout the entire document.

What types of documents can this skill analyze?

The skill is document-agnostic and works with all scientific formats including manuscripts, grant proposals, abstracts, letters, and technical presentations.

How does it help with quantitative data?

It identifies vague quantifiers such as 'many' or 'significant' and prompts for specific metrics, n-values, and p-values to ensure quantitative precision.

Scientific Clarity Checker

Name: Scientific Clarity Checker
Author: lyndonkl

bylyndonkl

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内容管理

Analyzes scientific documents to ensure logical rigor, argument soundness, and precise alignment between claims and empirical evidence.

关于

The Scientific Clarity Checker is a specialized review tool designed to enhance the quality of scientific writing by auditing the logical flow and evidential support within any technical document. It systematically evaluates manuscripts, grants, and abstracts for quantitative precision, appropriate hedging, and terminology consistency, ensuring that conclusions are strictly supported by the data presented. By identifying logical gaps and overclaiming, it helps researchers and professionals produce more rigorous, defensible, and clear scientific communications across all disciplines.

主要功能

Hedging calibration to match language strength with the level of evidence certainty
Quantitative precision check to replace vague language with specific statistics
8 GitHub stars
Terminology consistency audit to ensure technical terms are used uniformly
Claims-evidence audit to verify conclusions follow strictly from presented data
Logic flow assessment to map argument structures and identify reasoning gaps

使用场景

Refining grant proposals to ensure hypotheses and mechanisms are clearly articulated
Pre-submission review of research manuscripts to catch overclaiming and logical leaps
Self-editing technical documentation to maintain consistent terminology and precision

关于

主要功能

Hedging calibration to match language strength with the level of evidence certainty
Quantitative precision check to replace vague language with specific statistics
8 GitHub stars
Terminology consistency audit to ensure technical terms are used uniformly
Claims-evidence audit to verify conclusions follow strictly from presented data
Logic flow assessment to map argument structures and identify reasoning gaps

使用场景

Refining grant proposals to ensure hypotheses and mechanisms are clearly articulated
Pre-submission review of research manuscripts to catch overclaiming and logical leaps
Self-editing technical documentation to maintain consistent terminology and precision