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Dbsnp Database

OrganizationPopular
google-deepmind
dbsnp-database

Use when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database. Resolves between rsIDs, genomic coordinates in VCF format, and HGVS strings. For an rsID, returns variant type, gene associations, clinical significance, allele frequencies, and genomic coordinates (GRCh38).

Overview

Publishergoogle-deepmind
Repositoryscience-skills
Skill namedbsnp-database
Stars
3.1K
Forks
349
Bundled files
3
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by google-deepmind on GitHub. Read the source before you install it.

Installation

Install the Dbsnp Database AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/google-deepmind/science-skills.git /tmp/science-skills
mkdir -p .claude/skills
cp -r /tmp/science-skills/skills/dbsnp_database .claude/skills/dbsnp-database
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dbsnp Database in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dbsnp Database on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dbsnp Database is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

dbSNP Database Integration

Prerequisites

  1. uv: Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH.
  2. User Notification: If .licenses/dbsnp_database_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://www.ncbi.nlm.nih.gov/snp/, then (2) create the file recording the notification text and timestamp.
  3. .env file: Make sure the .env file exists in your home directory. Create one if it does not exist.
  4. NCBI_API_KEY (optional): Raises the NCBI rate limit from 3 to 10 requests/second. The skill works without it, but a key is recommended if the user plans many queries or encounters a 429 error. You can register for a key for free at https://www.ncbi.nlm.nih.gov/account/settings/. You MUST use the safe credentials protocol in the credentials skill to check for and request this key if this skill looks relevant to the user's request.

Core Rules

  • Use the Wrapper: ALWAYS execute the provided wrapper script scripts/dbsnp_cli.py to query the database rather than constructing custom HTTP or curl requests. The script automatically handles rate limiting, retries, and JSON parsing.
  • Command Choice: Do NOT use search-region to find the rsID of a specific variant; use resolve-variant instead.
  • Output Size: Avoid using --full on get-variant unless specifically needed, as raw payloads can exceed 1 MB.
  • Shell Safety: Always wrap HGVS strings in single quotes to prevent shell expansion errors.
  • Notification: If this skill is used, ensure this is mentioned in the output.

When to Use

Use this skill when you need to:

  • Map a genomic variant to its canonical rsID (from VCF coordinates or HGVS notation).
  • Retrieve summary data for an rsID: variant type, gene associations, clinical significance, and population allele frequencies.
  • Convert an rsID back to genomic coordinates on a specific assembly.
  • Find all known variants within a chromosomal region.

Do NOT use when you need to:

  • Obtain clinical pathogenicity classifications with submitter rationales (use clinvar-database).
  • Get precise population-level allele frequencies stratified by ancestry (use gnomad-database).
  • Predict the functional effect of a novel mutation (use alphagenome-single-variant-analysis).
  • View 3D protein structures affected by a variant (use alphafold-database-fetch-and-analyze / pdb-database).

Command Selection Guide

Pick the right command on the first try. Match the user's input to the correct subcommand below — one command call is almost always sufficient.

  • User gives you…: Run this command
  • An rsID (e.g. rs7412, rs268): get-variant
  • Genomic coordinates: chrom pos ref alt (e.g. 8 19962213 C T): resolve-variant
  • An HGVS string (e.g. NC_000008.11:g.19962213del): resolve-hgvs
  • An rsID and they want coordinates back: resolve-rsid
  • A chromosomal region (chrom start end): search-region

[!CAUTION] Do NOT use search-region to find the rsID of a specific variant. If the user provides a chromosome, position, reference allele, and alternate allele (four values), use resolve-variant — it is a direct, single-API-call lookup. search-region is only for surveying all variants within a positional range and returns hundreds/thousands of results.

Quick Start

bash
# Look up variant rs7412: type, gene, clinical significance, MAF
uv run scripts/dbsnp_cli.py get-variant rs7412 --output /tmp/rs7412.json

# Find the rsID for a variant at chr8:19962213 C>T
uv run scripts/dbsnp_cli.py resolve-variant 8 19962213 C T \
  --output /tmp/resolve.json

All subcommands write JSON to disk. Always save output in the /tmp/ directory. The --output flag is required.

Commands

1. get-variant — Fetch Variant Record

Retrieve the RefSNP record for one rsID. By default the output is abbreviated to the most useful fields. Both rs268 and 268 are accepted.

bash
uv run scripts/dbsnp_cli.py get-variant rs268 --output /tmp/rs268.json
uv run scripts/dbsnp_cli.py get-variant 268 --assembly GCF_000001405.40 \
  --output /tmp/rs268.json

Arguments:

  • rsid (positional, required): The RefSNP identifier.
  • --assembly: RefSeq assembly accession (default: GCF_000001405.40 = GRCh38).
  • --full: Return the complete raw JSON payload — see warning below.
  • --output: Output file path (default: /tmp/dbsnp_output.json).

Abbreviated output fields:

  • refsnp_id: Numeric rsID
  • variant_type: e.g. snv, ins, del, delins
  • genes: Sorted list of gene symbols (locus names)
  • clinical_significances: List of clinical significance labels
  • minor_allele_frequencies: Study name, allele count, total count
  • placements: Genomic placements for the requested assembly

[!WARNING] About --full: The raw RefSNP payload is typically 50–500 KB and can exceed 1 MB for clinically significant variants with many submissions. Only use --full when you specifically need data absent from the abbreviated output — for example:

  • The complete HGVS nomenclature across every transcript and protein isoform.
  • Full submission history with individual submitter details and timestamps.
  • Population-level allele frequency breakdowns by sub-population within a study (e.g. per-population gnomAD counts).
  • The full set of genomic placements across multiple assemblies (GRCh37 and GRCh38 simultaneously).
  • Merge history showing which older rsIDs were merged into this one.

2. resolve-variant — Genomic Coordinates → rsID

Determine the rsID(s) for a variant given its genomic coordinates (chromosome, position, reference allele, alternate allele). This is the command to use when the user provides a variant as space-separated coordinates like 8 19962213 C T.

bash
uv run scripts/dbsnp_cli.py resolve-variant 8 19962213 C T \
  --output /tmp/resolve.json

Arguments:

  • chrom (positional): Chromosome number (e.g. 8) or RefSeq sequence accession (e.g. NC_000008.11). Chromosomes X and Y must be passed as their numeric equivalents: 23 for X and 24 for Y.
  • pos (positional): 1-based genomic position.
  • ref (positional): Reference allele (e.g. C).
  • alts (positional): Alternate allele(s), comma-separated (e.g. T).
  • --assembly: RefSeq assembly accession (default: GCF_000001405.40).
  • --output: Output file path (default: /tmp/dbsnp_output.json).

Output: {"rsids": ["12345", "67890"]}

3. resolve-rsid — rsID → Genomic Coordinates

Get the genomic placement (sequence ID and allele details) for a known rsID on a specific assembly.

bash
uv run scripts/dbsnp_cli.py resolve-rsid rs7412 --output /tmp/coords.json

Arguments:

  • rsid (positional): The RefSNP identifier.
  • --assembly: RefSeq assembly accession (default: GCF_000001405.40).
  • --output: Output file path (default: /tmp/dbsnp_output.json).

Output: {"rsid": "7412", "assembly": "...", "placements": [...]}

4. resolve-hgvs — HGVS → rsID

Find the rsID(s) corresponding to an HGVS expression.

bash
uv run scripts/dbsnp_cli.py resolve-hgvs 'NC_000008.11:g.19962213del' \
  --output /tmp/hgvs.json

Arguments:

  • hgvs (positional): The HGVS string.
  • --assembly: RefSeq assembly accession (default: GCF_000001405.40).
  • --output: Output file path (default: /tmp/dbsnp_output.json).

Output: {"rsids": ["12345"]}

[!TIP] HGVS strings often contain characters that shells interpret (colons, greater-than signs). Always wrap them in single quotes to prevent shell expansion.

5. search-region — Regional Variant Search

Find all rsIDs within a bounded chromosomal region.

bash
uv run scripts/dbsnp_cli.py search-region 7 117100000 117300000 \
  --output /tmp/region.json

Arguments:

  • chrom (positional): Chromosome (e.g. 7). Use 23 for chromosome X and 24 for chromosome Y.
  • start (positional): Start position.
  • end (positional): End position.
  • --retmax: Maximum rsIDs to return (default: 500, ceiling: 5 000).
  • --output: Output file path (default: /tmp/dbsnp_output.json).

Output:

json
{
  "rsids": ["12345", "67890", "..."],
  "returned": 500,
  "total_available": 1423,
  "truncated": true,
  "note": "Only 500 of 1423 variants returned.  Increase --retmax ..."
}

When total_available exceeds the returned count, the output includes a truncated flag and a note. Increase --retmax to retrieve more (up to 5 000).

Typical Workflows

Identify a known variant from coordinates

bash
# Step 1: Map VCF coordinates to rsID
uv run scripts/dbsnp_cli.py resolve-variant 19 44908684 T C \
  --output /tmp/step1.json

# Step 2: Get the full details for the resolved rsID
uv run scripts/dbsnp_cli.py get-variant <rsid_from_step1> \
  --output /tmp/step2.json

Survey variants in a gene region

bash
# Step 1: Find all variants in a region spanning the CFTR gene
uv run scripts/dbsnp_cli.py search-region 7 117100000 117300000 \
  --retmax 1000 --output /tmp/region.json

# Step 2: Retrieve details on individual rsIDs of interest
uv run scripts/dbsnp_cli.py get-variant <rsid> --output /tmp/detail.json

Translate HGVS notation to genomic coordinates

bash
# Step 1: Get the rsID for an HGVS expression
uv run scripts/dbsnp_cli.py resolve-hgvs 'NC_000019.10:g.44908684T>C' \
  --output /tmp/hgvs.json

# Step 2: Resolve that rsID to VCF-style coordinates
uv run scripts/dbsnp_cli.py resolve-rsid <rsid> --output /tmp/coords.json

Assembly Defaults and Automatic Fallback

The Variation Services endpoints (used by get-variant, resolve-variant, resolve-rsid, resolve-hgvs) expect a RefSeq assembly accession. The RefSeq accession for GRCh38 is GCF_000001405.40, and for GRCh37 it is GCF_000001405.25.

The search-region subcommand always searches GRCh38 positions.

[!IMPORTANT] Automatic assembly fallback: The resolve-variant and resolve-hgvs commands automatically try GRCh38 first. If no rsIDs are found, they retry with GRCh37 before reporting failure. When a fallback occurs the output JSON includes a "note" field explaining which assembly succeeded. You do NOT need to manually retry with a different assembly — the script handles this transparently.

You only need to override --assembly when you specifically want to restrict the lookup to one assembly (e.g. because the user's coordinates are known to be GRCh37).

NCBI API Key and Rate Limiting

Without an API key the script is limited to 3 requests per second. With a key this increases to 10 requests per second.

You can register for a key for free at https://www.ncbi.nlm.nih.gov/account/settings/. You MUST use the safe credentials protocol in the credentials skill to check for and request this key if this skill looks relevant to the user's request.

Troubleshooting HTTP 500 Errors

Reference Allele Mismatch

If you receive an HTTP 500 error with a message detailing that the asserted reference allele is not equal to the reference sequence:

What it means: The coordinate position is likely valid, but the reference allele (ref) you provided does not match the base at that position in the requested assembly.

Action: 1. DO NOT RETRY the exact same query mechanically. 2. Check the assembly: Coordinates are assembly-specific. 3. Switch assembly: If you were querying GRCh37, try GRCh38 (using --assembly GCF_000001405.40), or if querying GRCh38, try GRCh37 (using --assembly GCF_000001405.25).

Common Mistakes

  • Mistake: Forgetting to quote HGVS strings Fix: Wrap in single quotes: 'NC_000008.11:g.19962213del'

  • Mistake: Passing a chromosome name to resolve-variant instead of a sequence accession Fix: Use the numeric chromosome ID (e.g. 8) or a RefSeq accession like NC_000008.11

  • Mistake: Using --full on get-variant without needing it Fix: The abbreviated output covers most use cases; --full returns 50–500 KB+ of JSON

  • Mistake: Expecting search-region to return all results by default Fix: The default --retmax is 500; check total_available in the output to see if results were truncated

  • Mistake: Using GRCh37 coordinates with search-region Fix: search-region always uses GRCh38 positions; lift over coordinates first if starting from GRCh37

  • Mistake: Manually retrying resolve-variant or resolve-hgvs with a different --assembly when the first call fails Fix: The script automatically tries GRCh38 then GRCh37; a single call is sufficient

  • Mistake: Passing X or Y as the chromosome value Fix: Use the numeric equivalents: 23 for chromosome X and 24 for chromosome Y. The CLI treats chromosomes numerically by default.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dbsnp Database AI skill do?

Use when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database. Resolves between rsIDs, genomic coordinates in VCF format, and HGVS strings. For an rsID, returns variant type, gene associations, clinical significance, allele frequencies, and genomic coordinates (GRCh38).

Why use Dbsnp Database on TypingMind?

Because you install it once and use it with any model. Dbsnp Database is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dbsnp Database in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google-deepmind/science-skills/tree/main/skills/dbsnp_database. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dbsnp Database?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dbsnp Database?

As many as you like. As long as a model supports skills, you can use Dbsnp Database with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dbsnp Database AI skill free?

Yes. It is published on GitHub by google-deepmind under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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