Individual skill

gget

Unified CLI/Python interface for querying genomic, proteomic, structure, and expression data across 20+ bioinformatics databases; use when you need fast, scriptable retrieval by gene/protein IDs or keywords.

scientific-skills/Evidence Insight/gget/SKILL.md

Read pinned source

Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
2,047
Repository last updated
Sep 17, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

## When to Use

- You need to search genes/proteins by keyword and species across common databases (e.g., Ensembl/UniProt/NCBI).
- You want to fetch detailed metadata for one or many Ensembl/UniProt/NCBI identifiers.
- You need to retrieve nucleotide/protein sequences for downstream analysis or pipelines.
- You want to obtain or predict protein structures (PDB download or AlphaFold prediction) from a sequence.
- You need to query expression resources (e.g., ARCHS4, CELLxGENE, Bgee) or run enrichment analysis (Enrichr).

## Key Features

- Unified wrapper (`scripts/wrapper.py`) exposing multiple `gget` subcommands through a consistent interface.
- Gene/protein search and identifier resolution across multiple databases.
- Rich gene/protein information retrieval (annotations and metadata).
Back to top