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Use omics-target-evidence-mapper to compile public target-level evidence for [gene or protein target] in [disease context], producing JSON and Markdown research-triage reports with literature and relevant trial evidence; do not make causal, therapeutic-value, or clinical recommendations.
Required inputs
[gene or protein target]
[disease context]
User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗
SKILL.md
name: omics-target-evidence-mapperdescription: Aggregate public target-level evidence across omics and translational sources for research triage.license: MITmetadata: version: 0.1.0 tags: - omics - targets - translational-research - literature - trials openclaw: requires: bins: - python3 always: false emoji: 🧬 homepage: https://github.com/ClawBio/ClawBio os: - darwin - linux trigger_keywords: - target evidence - gene disease evidence - target triage - omics evidence - gene disease mapper
Why This Exists
Researchers often need a quick first-pass view of whether a gene or protein target has evidence across multiple public sources. In practice, this usually means checking several websites manually and informally combining results. This skill makes that process reproducible by retrieving and organising public evidence into one structured output.
This skill is for research triage only. It does not infer causality, rank therapeutic value, or make clinical recommendations.
Core Capabilities
Accept a gene or protein target and an optional disease term.
Retrieve canonical target information from UniProt.
Retrieve disease-target association evidence from Open Targets.
Retrieve recent literature hits from PubMed.
Optionally retrieve trial records relevant to the target and disease.
Produce a machine-readable JSON file and a human-readable Markdown report.
Input Formats
Argument
Required
Example
Notes
--gene
Yes, unless --demo is used
IL6R
Gene or target symbol
--disease
No
coronary artery disease
Optional disease context
--output
Yes
demo_out
Output directory
--max-papers
No
5
Number of PubMed hits to include
--max-trials
No
5
Number of trial records to include
--demo
No
--demo
Runs the built-in demo query
Workflow
Validate CLI inputs.
Resolve the query from either user input or demo mode.
Query public data sources.
Normalise results into a structured evidence object.
Write JSON and Markdown outputs.
Write reproducibility bundle:
reproducibility/checksums.sha256 — SHA-256 hashes of all output files