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
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
Use cases: design, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 29, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/phenixace/Molemo_WorkBench
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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scientific-visualization
phenixace
Turn molecular and protein analysis results into declarative property charts and residue-level sequence tracks.
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
chembl-bioactivity
phenixace
Review source-linked ChEMBL small-molecule activity evidence for an exact UniProt single-protein target.
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
hmmer-profile-search
phenixace
Validate and run bounded local HMMER3 profile-to-protein searches with domain coordinates, explicit thresholds, researcher approval and auditable outputs.
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
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phenixace
Route broad life-science research questions to the smallest useful set of Molemo skills.
SkillBFreshness: B★ 2Claude Code +9 - 0.557score
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phenixace
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SkillBFreshness: B★ 2Claude Code +9 - 0.557score
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Create reviewable, researcher-approved plans from Molemo scientific tools.
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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)