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.
git clone --depth 1 https://github.com/silverstein/claude-scientific-skills-desktopnpx agentmods add skills/silverstein/claude-scientific-skills-desktop/ggetWrote 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.
[](https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/gget)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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) 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.
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
-csvflag - 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
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.
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.
- 12d ago First seen · 866 lines · 79 tokens per session scan A aa1541e6449a
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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