Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-ggetgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/alterlab-ieu/alterlab-academic-skills/alterlab-gget)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-gget"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-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/alterlab-ieu/alterlab-academic-skills/alterlab-gget"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-gget.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00094 | $0.01425 |
| Opus 5 | $0.00047 | $0.00713 |
| Sonnet 5 | $0.00019 | $0.00285 |
| Haiku 4.5 | $0.00009 | $0.00143 |
Grade A, and why
alterlab-gget scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 124 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:
# Install (or upgrade) into a clean environment
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 Catalog
Pick a module, then see references/module_examples.md for worked CLI + Python
examples and references/module_reference.md for the full parameter table.
| Module | Purpose | Queried source |
|---|---|---|
ref |
Reference genome download links/metadata | Ensembl |
search |
Find genes by name/description | Ensembl |
info |
Gene/transcript metadata (~1000 IDs max) | Ensembl, UniProt, NCBI |
seq |
Nucleotide/amino-acid sequences (FASTA) | Ensembl |
blast |
BLAST against standard databases | NCBI BLAST |
blat |
Genomic position of a sequence | UCSC BLAT |
muscle |
Multiple sequence alignment | Muscle5 (local) |
diamond |
Fast local protein/translated alignment | DIAMOND (local) |
pdb |
Experimental protein structures + metadata | RCSB PDB |
alphafold |
Predict 3D protein structure (setup req.) | AlphaFold2 (local) |
elm |
Eukaryotic linear motifs (setup req.) | ELM |
archs4 |
Correlated genes / tissue expression | ARCHS4 |
cellxgene |
Single-cell RNA-seq (setup req.) | CZ CELLxGENE Census |
enrichr |
Ontology/pathway enrichment | Enrichr |
bgee |
Orthologs and expression | Bgee |
opentargets |
Disease/drug associations | OpenTargets |
cbio |
Cancer genomics heatmaps | cBioPortal |
cosmic |
Somatic cancer mutations (license/account) | COSMIC |
mutate |
Generate mutated sequences | local |
gpt |
Natural-language text generation (setup req.) | OpenAI API |
setup |
Install third-party deps for a module | local |
What ships with it
8 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.
- evals/evals.json 4.1 KB
- references/database_info.md 10.0 KB
- references/module_examples.md 10 KB
- references/module_reference.md 17 KB
- references/workflows.md 25 KB
- scripts/batch_sequence_analysis.py 5.9 KB runs code
- scripts/enrichment_pipeline.py 7.0 KB runs code
- scripts/gene_analysis.py 5.6 KB runs code
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 · 124 lines · 94 tokens per session scan A 982b60f4c7f9
alterlab-gget is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 7d ago), licensed MIT. It adds 94 tokens to every session and 1,425 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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