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research-lookup

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About research-lookup

R

research-lookup

Compiles current scholarly evidence

research-lookup is an agent skill that compiles the external scholarly evidence needed to plan and write a scientific manuscript or research brief. It runs only when you explicitly ask it to gather literature, references, background or evidence. Its default academic workflow targets 60 verified, unique references, and it produces a research packet ready for writing, rather than a loose list of links. The skill defines its count carefully: verified references are those whose retrieval returned a non-empty extract, excluding flagged retractions. That count does not establish bibliographic identity, support for a claim, peer review, or the absence of corrections, and those need checking against the sources. Use it for background research, finding many high-quality references, evidence that supports or contradicts a claim, a claim-to-source evidence matrix, current studies, methods precedent, mechanisms, limitations and research gaps. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs.

View research-lookupAll AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/research-lookup