ensembl-database

ensembl-database is a skill for Claude Code, Codex from CHENyiru3/AI-Skills-Collections. It costs 45 tokens per session (2,114 once invoked), scanned A, a copy of ensembl-database, MIT.

A tool for querying Ensembl, a public genome database maintained by EMBL-EBI, across more than 250 species. It provides gene, sequence, variant, regulatory, and cross-species genome information through a REST API.

In plain words
What is it for?
Use it to find genes, transcripts, proteins, sequences, variants, orthologs, regulatory features, and genome-coordinate conversions, including variant-effect predictions.
Why use it?
It avoids manually collecting genome records from separate sources and makes common genomic lookups available to research software.

Skill for Claude CodeCodex

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

Good fit Use it to find genes, transcripts, proteins, sequences, variants, orthologs, regulatory features, and genome-coordinate conversions, including variant-effect predictions.

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Install with agentmods
npx agentmods add skills/chenyiru3/ai-skills-collections/ensembl
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.

Any agent
npx skills add CHENyiru3/AI-Skills-Collections --skill ensembl
Clone the repo
git clone --depth 1 https://github.com/CHENyiru3/AI-Skills-Collections

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/chenyiru3/ai-skills-collections/ensembl/github.svg)](https://agentmods.dev/skills/chenyiru3/ai-skills-collections/ensembl)
Your own site
<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/ensembl"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/ensembl/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 ensembl-database

Your own site · 80×15
<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/ensembl"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/ensembl.svg" alt="Reviewed on agentmods" width="80" 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 2,114 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 86% 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 $0.00045 $0.02114
Opus 5.5 $0.00018 $0.00846
Sonnet 5.5 $0.00009 $0.00423
Haiku 4.5 $0.00005 $0.00211

Measured 6d ago against content hash 4a7e67f88e5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 6d ago.

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

This is a copy

86% identical to ensembl-database — 11 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.

skills-market/compbio/databases/ensembl/SKILL.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 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 · 312 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. 6d ago First seen · 312 lines · 45 tokens per session scan A 4a7e67f88e5e

Subscribe to this mod's changes

ensembl-database is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 45 tokens to every session and 2,114 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to ensembl-database, differing in 11 lines, and is treated as a copy.

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