Rank candidate papers into selected, ambiguous, and rejected groups with evidence references.
npx skills add https://github.com/Dai0-2/Paper_Reach --skill paper-ranker
Please help me install this Agent Skill. Skill: paper-ranker Source: https://github.com/Dai0-2/Paper_Reach/tree/main/skills/paper-ranker Command: npx skills add https://github.com/Dai0-2/Paper_Reach --skill paper-ranker
This skill provides a disciplined method to convert a large pool of candidate papers into a clear, reproducible ranking by applying a conservative rubric, turning uncertain results into actionable decisions.
Provide a candidate set and run the paper-ranker to produce ranked results with reasons and evidence references.
High-intent search queries and answers about installing and using this skill.
You can rank research papers by applying a conservative rubric to normalized paper records, evidence entries, and inclusion criteria to generate grouped decisions with evidence references.
Conservative paper ranking separates screening candidates into selected, ambiguous, and rejected groups by matching topic relevance, method, and dataset against defined rubric thresholds.
You can get evidence-backed decisions for literature screening by processing candidate sets with inclusion and exclusion criteria to capture referenced justifications for each ranking outcome.
Paper screening requires normalized paper records, evidence entries, inclusion and exclusion criteria, rubric dimensions, thresholds, and a full-text requirement flag to generate reproducible ranking outputs.
Use a conservative rubric for paper ranking when converting a large pool of uncertain screening candidates into clear, auditable decisions suitable for handoffs and reproducible outputs.
Dai0-2Screen papers by title and abstract to generate JSON-ready candidate records.
akrindevDownload YouTube videos and playlists with audio, subtitles, and metadata.
MICHAEL-BODOSearch, retrieve, and install AI agent skills by keywords and categories.
kthornDevelop and refine paper screening rubrics with versioned JSON criteria.
