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Scholarly work reviewer

Give it a paper or thesis. Get a fair review of what is strong, what is weak and what to fix next.

Scholarly work reviewer is a free AI skill for the job "Research a topic properly". Give the instructions to an AI assistant that supports the required files and tools, then review its output.

Free · No account · MIT licence · Made by K-Dense · Level: advanced · Thinking: high

Made by K-Dense. See the original on GitHub; we copied it as it is, with its licence.

What it does

Honest feedback on a paper, thesis, protocol or research idea, so you know what is strong, what is weak and what to fix next. The review is written in words first, with evidence for each point. Each comment ties to a place in your work, so you can check it. Optional scores only show how your evidence matches a rubric set before the review, and never decide anything alone. It can also audit a low-stakes assessment process for rater consistency, uncertainty, fairness and privacy. It refuses to rank people or support hiring, tenure, admissions, funding or awards, and gives no accept or publish verdict. Optional scripts use Python.

You give it

The paper, draft or idea
The field and your target readers
A rubric you want applied (optional)
Specific worries (optional)

You get

Strengths and weaknesses with evidence
Next steps to improve the work
Optional rubric notes with limits stated
A check of an assessment process (optional)

Use it when

You wrote a draft and want a tough but fair read before submitting.
Your thesis chapter feels weak and you cannot say where.
You review a protocol and want comments tied to evidence.
Your group uses a rubric and you want to check it is applied fairly.

How to use it

Add it to your AI once: download it and add the folder to Claude, ChatGPT or Codex as a skill.
Ask for the job in your own words. Your AI opens the skill when it fits.