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tooluniverse-literature-deep-research

Maintainer FreedomIntelligence · Last updated April 1, 2026

Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Default deliverable i….

OpenClawNanoClawAnalysisReproductiontooluniverse-literature-deep-research🏥 medical & clinicalmedical toolsconduct

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-literature-deep-research

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • A systematic approach to comprehensive literature research that starts with target disambiguation to prevent missing details, uses evidence grading to separate signal from noise, and produces a content-focused report with mandatory completeness sections.
  • KEY PRINCIPLES: 1. Target disambiguation FIRST - Resolve IDs, synonyms, naming collisions before literature search 2. Right-size the deliverable - Use Factoid / Verification Mode for single, answerable questions; use full report mode for “deep research” 3. Report-first output - Default deliverable is a report file; an inline answer is allowed (and recommended) for Factoid / Verification Mode 4. Evidence grading - Grade every claim by evidence strength (mechanistic paper vs screen hit vs review vs text-mined) 5. Mandatory completeness - All checklist sections must exist, even if "unknown/limited evidence" 6. Source attribution - Every piece of information traceable to database/tool 7. English-first queries - Always use English terms for literature searches and tool calls, even if the user writes in another language. Only try original-language terms as a fallback if English returns no results. Respond in the user's language.
  • Generated: [Date] Evidence cutoff: [Date].

Source Doc

Excerpt From SKILL.md

Mandatory Questions

  1. Target type: Is this a biological target (gene/protein), a general topic, or a disease?
  2. Scope: Is this a single factoid to verify (“Which antibiotic?”, “Which strain?”, “Which year?”) or a comprehensive/deep review?
  3. Known aliases: Any specific gene symbols or protein names you use?
  4. Constraints: Open access only? Include preprints? Specific organisms?
  5. Methods appendix: Do you want methodology details in a separate file?

Mode Selection (CRITICAL)

Pick exactly one mode based on the user’s intent and the question structure:

  1. Factoid / Verification Mode (single concrete question; answer should be a short phrase/sentence)
  2. Mini-review Mode (narrow topic; 1–3 pages of synthesis)
  3. Full Deep-Research Mode (use the full template + completeness checklist)

Heuristic:

  • If the user asks “X has been evolved to be resistant to which antibiotic?” → Factoid / Verification Mode
  • If the user asks “What does the literature say about X?” → Full Deep-Research Mode

Factoid / Verification Mode (Fast Path)

Goal: Provide a correct, source-verified single answer, with minimal but explicit evidence attribution.

Deliverables (still file-backed):

  1. [topic]_factcheck_report.md (≤ 1 page)
  2. [topic]_bibliography.json (+ CSV) containing the key paper(s)

Fact-check report template:

Use cases

  • Use when users need thorough literature reviews, target profiles, or to verify specific claims from the literature.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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