gget

gget is a skill for Claude Code, Codex from silverstein/claude-scientific-skills-desktop. It costs 79 tokens per session (7,009 once invoked), scanned A, a copy of gget, MIT.

A command-line and Python toolkit for querying many biological databases through one interface. It can return information about genes, sequences, proteins, expression, diseases, and related resources.

In plain words
What is it for?
Querying Ensembl, UniProt, AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, and other databases; running sequence searches; downloading genomes; and using the same operations from a terminal or Python.
Why use it?
Researchers otherwise have to learn separate tools and formats for each database. This provides a consistent way to run quick bioinformatics lookups and BLAST searches.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is gget enrichr -db pathway ACE2 AGT AGTR1 -ko ./kegg_images/.

Good fit Querying Ensembl, UniProt, AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, and other databases; running sequence searches; downloading genomes; and using the same operations from a terminal or Python.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/silverstein/claude-scientific-skills-desktop
agentmods
npx agentmods add skills/silverstein/claude-scientific-skills-desktop/gget

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gget

README.md
[![agentmods](https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/gget/github.svg)](https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/gget)
Your own site
<a href="https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/gget"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/gget/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gget

Your own site · 80×15
<a href="https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/gget"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/gget.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,009 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.07009
Opus 5 $0.00039 $0.03504
Sonnet 5 $0.00016 $0.01402
Haiku 4.5 $0.00008 $0.00701

Measured 12d ago against content hash aa1541e6449a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gget scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/batch_sequence_analysis.py, scripts/enrichment_pipeline.py, scripts/gene_analysis.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- `-d/--download`: Download files (requires curl)
Origin

This is a copy

97% identical to gget — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

corpus/gget/SKILL.md · 866 lines

How it starts

The opening of the file, as written. The whole thing — 866 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gget

Overview

gget is a command-line bioinformatics tool and Python package providing unified access to 20+ genomic databases and analysis methods. Query gene information, sequence analysis, protein structures, expression data, and disease associations through a consistent interface. All gget modules work both as command-line tools and as Python functions.

Important: The databases queried by gget are continuously updated, which sometimes changes their structure. gget modules are tested automatically on a biweekly basis and updated to match new database structures when necessary.

Installation

Install gget in a clean virtual environment to avoid conflicts:

# Using uv (recommended)
uv uv pip install gget

# Or using pip
uv pip install --upgrade gget

# In Python/Jupyter
import gget

Quick Start

Basic usage pattern for all modules:

# Command-line
gget <module> [arguments] [options]

# Python
gget.module(arguments, options)

Most modules return:

  • Command-line: JSON (default) or CSV with -csv flag
  • Python: DataFrame or dictionary

Common flags across modules:

  • -o/--out: Save results to file
  • -q/--quiet: Suppress progress information
  • -csv: Return CSV format (command-line only)

Module Categories

1. Reference & Gene Information

gget ref - Reference Genome Downloads

Retrieve download links and metadata for Ensembl reference genomes.

Parameters:

  • species: Genus_species format (e.g., 'homo_sapiens', 'mus_musculus'). Shortcuts: 'human', 'mouse'
  • -w/--which: Specify return types (gtf, cdna, dna, cds, cdrna, pep). Default: all
  • -r/--release: Ensembl release number (default: latest)
  • -l/--list_species: List available vertebrate species
  • -liv/--list_iv_species: List available invertebrate species
  • -ftp: Return only FTP links
  • -d/--download: Download files (requires curl)

Examples:

# List available species
gget ref --list_species

# Get all reference files for human
gget ref homo_sapiens

# Download only GTF annotation for mouse
gget ref -w gtf -d mouse

Read the full file on GitHub · 866 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 866 lines · 79 tokens per session scan A aa1541e6449a

Subscribe to this mod's changes

gget is a skill published in the GitHub repository silverstein/claude-scientific-skills-desktop (22 stars, last pushed 5mo ago), licensed MIT. It adds 79 tokens to every session and 7,009 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 97% identical to gget, differing in 7 lines, and is treated as a copy.

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