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geo-dataset-discovery

Discover public NCBI GEO Series from a biological question with exact GSE-only query provenance, bounded metadata, study-design caveats, and an approved…

Skill by phenixace

IndexedMIT★ 2
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/phenixace-geo-dataset-discovery

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Discover public NCBI GEO Series from a biological question with exact GSE-only query provenance, bounded metadata, study-design caveats, and an approved persistence workflow.

Use cases: design, productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/geo-dataset-discovery

What's inside

Skill name
geo-dataset-discovery
Description
Discover public NCBI GEO Series from a biological question with exact GSE-only query provenance, bounded metadata, study-design caveats, and an approved persistence workflow.
License
MIT
Instructions
15 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • SKILL.md
  • openai.yaml · agents/
  • handler.py · scripts/
  • skill.json

SKILL.md (first lines)

# GEO Dataset Discovery

Use this skill when a researcher wants to find public expression or methylation studies before selecting data for a local analysis.

## Boundary

- Search the NCBI GEO DataSets database through E-utilities and require exact `GSE[ETYP]` Series filtering.
- Preserve the free-text query, organism, assay scope, minimum GEO sample count, source relevance order, query translation, accessions, retrieval time, and public links.
- Keep the agent-callable preview to eight records. Persist up to twenty records only through a researcher-approved workflow.
- Treat sample count as submitter metadata, not the number of independent biological replicates.
- Do not score dataset quality, infer analysis readiness from a file extension, or treat GEO relevance as scientific priority.
- Flag SuperSeries/SubSeries, overlapping cohorts, incomplete metadata, normalization state, subject design, batch structure, and raw-data availability for researcher review.
- Discovery does not download or analyze expression data.

From phenixace/Molemo_WorkBench, MIT.

More from phenixace/Molemo_WorkBench

Signals

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Last commit (this folder)
Aug 29, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

geo-dataset-discovery skill. Agent Mart. https://agentmart.dev/skills/phenixace-geo-dataset-discovery (last updated 2026-10-24)