Tooluniverse Literature Deep Research
This is a systematic literature review engine that disambiguates your query before searching, then pulls from PubMed, EuropePMC, bioRxiv, and citation networks to build structured reports with evidence grading. It handles biological targets, drugs, diseases, and general academic topics, running collision-aware searches when terms have naming conflicts. Every claim gets a T1-T4 evidence tier (mechanistic down to mention-only), and it delegates to specialized skills for deep entity profiling. The workflow is rigid: clarify, disambiguate, search, synthesize into a formal report with mandatory sections and full source attribution. It's overkill for quick lookups but solid when you need a defensible lit review with proper methodology baked in.
- skills.sh installs
- 669
- GitHub stars
- 1.8K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add mims-harvard/tooluniverse --skill tooluniverse-literature-deep-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
Literature Deep Research
Systematic literature research: disambiguate, search with collision-aware queries, grade evidence, produce structured reports.
KEY PRINCIPLES: (1) Disambiguate first (2) Right-size deliverable (3) Grade every claim T1-T4 (4) All sections mandatory even if "limited evidence" (5) Source attribution for every claim (6) English-first queries, respond in user's language (7) Report = deliverable, not search log
LOOK UP, DON'T GUESS
Search PubMed/EuropePMC FIRST before reasoning. A published paper beats memory.
Factoid search strategy:
- Extract KEY TERMS (most specific nouns/verbs)
EuropePMC_search_articles(query="term1 term2 term3", limit=5)- No results -> BROADEN (remove most restrictive term)
- Too many -> NARROW (add specific terms)
- Answer usually in abstract of top results
- Failed query -> try DIFFERENT TERMS/synonyms, don't repeat
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- Repository
- github.com/mims-harvard/tooluniverse
- Categories
- Git & Pull Requests, Code Review & Quality, Data Science & ML
- First seen
- Jun 3, 2026
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