bioservices SKILL.md skillA

bioservices from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add marielynneblock/arcanum-artifex/bioservices@git:20260710.0115f49

Pins git:20260710.0115f49 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
marielynneblock/arcanum-artifex
Path
skills/scientific/bioservices/SKILL.md
Versions recorded
5
Latest version
git:20260710.0115f49, committed Jul 10, 2026
First version recorded
Apr 6, 2026
Size
9,947 bytes
Repository stars
4
License
none declared

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# BioServices

## Overview

BioServices is a Python package providing programmatic access to approximately 40 bioinformatics web services and databases. Retrieve biological data, perform cross-database queries, map identifiers, analyse sequences, and integrate multiple biological resources in Python workflows. The package handles both REST and SOAP/WSDL protocols transparently.

## When to Use This Skill

This skill should be used when:
- Retrieving protein sequences, annotations, or structures from UniProt, PDB, Pfam
- Analysing metabolic pathways and gene functions via KEGG or Reactome
- Searching compound databases (ChEBI, ChEMBL, PubChem) for chemical information
- Converting identifiers between different biological databases (KEGG↔UniProt, compound IDs)
- Running sequence similarity searches (BLAST, MUSCLE alignment)
- Querying gene ontology terms (QuickGO, GO annotations)
- Accessing protein-protein interaction data (PSICQUIC, IntactComplex)
- Mining genomic data (BioMart, ArrayExpress, ENA)
- Integrating data from multiple bioinformatics resources in a single workflow

## Core Capabilities

### 1. Protein Analysis
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add marielynneblock/arcanum-artifex/bioservices@sha256:b62c86e3f8850c6f

The line at the top of this page pins the label git:20260710.0115f49, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_caexnflmekjtqkhu.svg)](https://markdownregistry.com/a/art_caexnflmekjtqkhu)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Apr 6, 2026 and Jul 10, 2026, about one every 24 days.

versioncommittedcommitsizeaudit
git:20260710.0115f49 latest2026-07-10 0115f49 9,947 BA view · diff
git:20260710.d1b3aa82026-07-10 d1b3aa8 9,946 BA view · diff
git:20260710.ffb34002026-07-10 ffb3400 9,946 BA view · diff
git:20260515.b861afb2026-05-15 b861afb 9,946 BA view · diff
git:20260406.05dff342026-04-06 05dff34 9,947 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9947 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_caexnflmekjtqkhu
GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/bioservices
GET https://markdownregistry.com/api/v1/blob/b62c86e3f8850c6f5f0aa3d0ddb4cd181ab93a206f33bc5cd13ea1c4ac816d43

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in marielynneblock/arcanum-artifex

Other files named bioservices

bioservices SKILL.md skill
k-dense-ai/scientific-agent-skills · skills/bioservices/SKILL.md · Provides a Python interface to bioinformatics services including UniProt, KEGG, ChEMBL, Reactome, QuickGO, and UniChem…
v1.7 · audit A · 56,497 stars
bioservices SKILL.md skill
aicodedecode/awesome-muse-skills · skills-imported/bioservices/SKILL.md · Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL…
git:20260927.806f3e1 · audit A · 53 stars

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