uniprot-database

uniprot-database is a skill for Claude Code, Codex from synthetic-sciences/openscience. It costs 66 tokens per session (1,717 once invoked), scanned A, original, Apache-2.0.

A direct connection to UniProt, a large database of protein sequences and information about what proteins do.

In plain words
What is it for?
Use it to find proteins, download FASTA sequences, map identifiers to databases such as Ensembl or PDB, and retrieve functional annotations.
Why use it?
It avoids manually downloading protein records and converting identifiers between biological databases. It also supports repeatable searches from code.

Skill for Claude CodeCodex

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

Good fit Use it to find proteins, download FASTA sequences, map identifiers to databases such as Ensembl or PDB, and retrieve functional annotations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/synthetic-sciences/openscience/uniprot-database
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 · 4,233 stars · on GitHub · openscience.sh

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 synthetic-sciences/openscience --skill uniprot-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 uniprot-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/synthetic-sciences/openscience/uniprot-database/github.svg)](https://agentmods.dev/skills/synthetic-sciences/openscience/uniprot-database)
Your own site
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/uniprot-database"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/uniprot-database/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 uniprot-database

Your own site · 80×15
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/uniprot-database"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/uniprot-database.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,717 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00066 $0.01717
Opus 5.5 $0.00026 $0.00687
Sonnet 5.5 $0.00013 $0.00343
Haiku 4.5 $0.00007 $0.00172

Measured 1mo ago against content hash ec7d8d920c19, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

uniprot-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 1mo ago.

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

- `api_examples.md` - Code examples in multiple languages (Python, curl, R)
Origin

Copies of this mod

5 near-identical copies found in the catalogue:

backend/cli/skills/databases/uniprot-database/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UniProt Database

Overview

UniProt is the world's leading comprehensive protein sequence and functional information resource. Search proteins by name, gene, or accession, retrieve sequences in FASTA format, perform ID mapping across databases, access Swiss-Prot/TrEMBL annotations via REST API for protein analysis.

When to Use This Skill

This skill should be used when:

  • Searching for protein entries by name, gene symbol, accession, or organism
  • Retrieving protein sequences in FASTA or other formats
  • Mapping identifiers between UniProt and external databases (Ensembl, RefSeq, PDB, etc.)
  • Accessing protein annotations including GO terms, domains, and functional descriptions
  • Batch retrieving multiple protein entries efficiently
  • Querying reviewed (Swiss-Prot) vs. unreviewed (TrEMBL) protein data
  • Streaming large protein datasets
  • Building custom queries with field-specific search syntax

Core Capabilities

1. Searching for Proteins

Search UniProt using natural language queries or structured search syntax.

Common search patterns:

# Search by protein name
query = "insulin AND organism_name:\"Homo sapiens\""

# Search by gene name
query = "gene:BRCA1 AND reviewed:true"

# Search by accession
query = "accession:P12345"

# Search by sequence length
query = "length:[100 TO 500]"

# Search by taxonomy
query = "taxonomy_id:9606"  # Human proteins

# Search by GO term
query = "go:0005515"  # Protein binding

Use the API search endpoint: https://rest.uniprot.org/uniprotkb/search?query={query}&format={format}

Supported formats: JSON, TSV, Excel, XML, FASTA, RDF, TXT

2. Retrieving Individual Protein Entries

Retrieve specific protein entries by accession number.

Accession number formats:

  • Classic: P12345, Q1AAA9, O15530 (6 characters: letter + 5 alphanumeric)
  • Extended: A0A022YWF9 (10 characters for newer entries)

Retrieve endpoint: https://rest.uniprot.org/uniprotkb/{accession}.{format}

Example: https://rest.uniprot.org/uniprotkb/P12345.fasta

Read the full file on GitHub · 201 lines

Files

What ships with it

5 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. 1mo ago Changed · +6 lines ec7d8d920c19
  2. 1mo ago First seen · 195 lines · 66 tokens per session scan A 5165236aefa5

Subscribe to this mod's changes

uniprot-database is a skill published in the GitHub repository synthetic-sciences/openscience (4,233 stars, last pushed 2d ago), licensed Apache-2.0. It adds 66 tokens to every session and 1,717 once invoked, about $0.0003 per session on Opus 5.5. 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.