Provide a question and selection criteria. AI can compare Consensus search results and prepare a reading shortlist with source identifiers kept intact.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Search papers with your criteria and organize the returned evidence into a reading shortlist.
/oo Consensus: Search Consensus for [research question], years [year range], using study filters [filters]. Compare titles, abstracts, study types, sample sizes, and takeaways where present, preserving DOI or paper links and identifying papers worth reading in full.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with a Consensus API key.
Connect Consensus →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
Consensus returns relevance-ranked academic papers with available publication and study details. These provide a starting point for literature screening and comparison.
Search relevance-ranked papers with publication, study-design, quality, and access filters, optionally requesting text chunks.
Search Consensus for relevance-ranked academic papers with publication, study, and quality filters.
Leina 
Wanta 
consensus.search_papers No matching tools.
Yes. Provide publication bounds and documented study-type filters; additional filters include sample size and preprint exclusion.
Yes. Ask to preserve titles, authors, publication years, DOI, and paper links where present.
No. Results can include abstracts and takeaways; optional text chunks are not a guarantee of complete paper text.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.