ensembl-database

ensembl-database is a skill for Claude Code, Codex from synthetic-sciences/openscience. It costs 45 tokens per session (1,951 once invoked), scanned A, original, Apache-2.0.

A programming guide to Ensembl, a genome database covering genes, sequences, variants, and related information for more than 250 species. It provides access through Ensembl's REST API.

In plain words
What is it for?
Use it to look up genes, retrieve DNA or protein sequences, analyze variants, find related genes across species, and access genome annotations.
Why use it?
It saves time when retrieving and comparing genetic information or assessing how variants may affect genes.

Skill for Claude CodeCodex

About the project

synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.

synthetic-sciences/openscience · 3,473 stars · on GitHub

Install

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.

agentmods
npx agentmods add skills/synthetic-sciences/openscience/ensembl-database
Any agent
npx skills add synthetic-sciences/openscience --skill ensembl-database
Clone the repo
git clone --depth 1 https://github.com/synthetic-sciences/openscience

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 ensembl-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/synthetic-sciences/openscience/ensembl-database.svg)](https://agentmods.dev/skills/synthetic-sciences/openscience/ensembl-database)
Your own site
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/ensembl-database"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/ensembl-database.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,951 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found 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 $0.00045 $0.01951
Opus 5 $0.00023 $0.00975
Sonnet 5 $0.00009 $0.00390
Haiku 4.5 $0.00005 $0.00195

Measured yesterday against content hash 81cb271b1ad0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ensembl-database 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/ensembl_query.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.

response = requests.get(
Origin

Copies of this mod

7 near-identical copies found in the catalogue:

backend/cli/skills/databases/ensembl-database/SKILL.md · 311 lines

How it starts

The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ensembl Database

Overview

Access and query the Ensembl genome database, a comprehensive resource for vertebrate genomic data maintained by EMBL-EBI. The database provides gene annotations, sequences, variants, regulatory information, and comparative genomics data for over 250 species. Current release is 115 (September 2025).

When to Use This Skill

This skill should be used when:

  • Querying gene information by symbol or Ensembl ID
  • Retrieving DNA, transcript, or protein sequences
  • Analyzing genetic variants using the Variant Effect Predictor (VEP)
  • Finding orthologs and paralogs across species
  • Accessing regulatory features and genomic annotations
  • Converting coordinates between genome assemblies (e.g., GRCh37 to GRCh38)
  • Performing comparative genomics analyses
  • Integrating Ensembl data into genomic research pipelines

Core Capabilities

1. Gene Information Retrieval

Query gene data by symbol, Ensembl ID, or external database identifiers.

Common operations:

  • Look up gene information by symbol (e.g., "BRCA2", "TP53")
  • Retrieve transcript and protein information
  • Get gene coordinates and chromosomal locations
  • Access cross-references to external databases (UniProt, RefSeq, etc.)

Using the ensembl_rest package:

from ensembl_rest import EnsemblClient

client = EnsemblClient()

# Look up gene by symbol
gene_data = client.symbol_lookup(
    species='human',
    symbol='BRCA2'
)

# Get detailed gene information
gene_info = client.lookup_id(
    id='ENSG00000139618',  # BRCA2 Ensembl ID
    expand=True
)

Direct REST API (no package):

import requests

server = "https://rest.ensembl.org"

# Symbol lookup
response = requests.get(
    f"{server}/lookup/symbol/homo_sapiens/BRCA2",
    headers={"Content-Type": "application/json"}
)
gene_data = response.json()

2. Sequence Retrieval

Fetch genomic, transcript, or protein sequences in various formats (JSON, FASTA, plain text).

Operations:

  • Get DNA sequences for genes or genomic regions
  • Retrieve transcript sequences (cDNA)
  • Access protein sequences
  • Extract sequences with flanking regions or modifications

Read the full file on GitHub · 311 lines

Files

What ships with it

2 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. yesterday First seen · 311 lines · 45 tokens per session scan A 81cb271b1ad0

Subscribe to this mod's changes

ensembl-database is a skill published in the GitHub repository synthetic-sciences/openscience (3,473 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 1,951 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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