Agent skill

omics-target-evidence-mapper

Aggregate public target-level evidence across omics and translational sources for research triage.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill omics-target-evidence-mapper --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 3 KB
Bundled scripts: yes
Version: 0.1.0
Path: skills/clawbio/omics-target-evidence-mapper/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 1. Accept a gene or protein target and an optional disease term. 2. Retrieve canonical target information from UniProt. 3. Retrieve disease-target association evidence from Open Targets. 4. Retrieve recent literature hits from PubMed. 5. Optionally retrieve trial records relevant to the target and disease. 6. 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

What's inside
Steps it walks through
  1. Demo mode
Ships with 7 files
  • commands.sh
  • environment.yml
  • examples/demo_input.json
  • examples/expected_output.md
  • omics_target_evidence_mapper.py
  • tests/test_omics_target_evidence_mapper.py
  • tests/test_smoke.py
More from awesome-bio-agent-skills
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About this skill
What does the omics-target-evidence-mapper skill do?

Aggregate public target-level evidence across omics and translational sources for research triage.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill omics-target-evidence-mapper --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going