bioservices

bioservices is a skill for Claude Code, Codex from thesecondfox/skill. It costs 73 tokens per session (2,389 once invoked), scanned A, a copy of bioservices, MIT.

A Python interface to more than 40 biology databases and web services, such as UniProt, KEGG, ChEMBL, and Reactome. It provides one way to retrieve and connect biological data from different sources.

In plain words
What is it for?
Use it to retrieve protein and compound data, study pathways and gene functions, run sequence searches, convert database identifiers, and combine results in Python workflows.
Why use it?
It reduces the effort of learning and maintaining separate interfaces for many bioinformatics services. It also helps map identifiers between databases.

Skill for Claude CodeCodex

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

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/thesecondfox/skill/bioservices
Any agent
npx skills add thesecondfox/skill --skill bioservices
Clone the repo
git clone --depth 1 https://github.com/thesecondfox/skill

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 bioservices

README.md
[![agentmods](https://agentmods.dev/badge/skills/thesecondfox/skill/bioservices.svg)](https://agentmods.dev/skills/thesecondfox/skill/bioservices)
Your own site
<a href="https://agentmods.dev/skills/thesecondfox/skill/bioservices"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bioservices.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,389 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 78% 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 $0.00073 $0.02389
Opus 5 $0.00036 $0.01195
Sonnet 5 $0.00015 $0.00478
Haiku 4.5 $0.00007 $0.00239

Measured 2d ago against content hash 6a11a38ba4a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

bioservices scanned grade A with 0 findings 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 2d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/batch_id_converter.py, scripts/compound_cross_reference.py, scripts/pathway_analysis.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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

78% identical to bioservices — 68 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.

Common_Skills/bioservices/SKILL.md · 360 lines

How it starts

The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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, analyze 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
  • Analyzing 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

Retrieve protein information, sequences, and functional annotations:

from bioservices import UniProt

u = UniProt(verbose=False)

# Search for protein by name
results = u.search("ZAP70_HUMAN", frmt="tab", columns="id,genes,organism")

# Retrieve FASTA sequence
sequence = u.retrieve("P43403", "fasta")

# Map identifiers between databases
kegg_ids = u.mapping(fr="UniProtKB_AC-ID", to="KEGG", query="P43403")

Key methods:

  • search(): Query UniProt with flexible search terms
  • retrieve(): Get protein entries in various formats (FASTA, XML, tab)
  • mapping(): Convert identifiers between databases

Reference: references/services_reference.md for complete UniProt API details.

2. Pathway Discovery and Analysis

Access KEGG pathway information for genes and organisms:

from bioservices import KEGG

k = KEGG()
k.organism = "hsa"  # Set to human

# Search for organisms
k.lookfor_organism("droso")  # Find Drosophila species

# Find pathways by name
k.lookfor_pathway("B cell")  # Returns matching pathway IDs

# Get pathways containing specific genes
pathways = k.get_pathway_by_gene("7535", "hsa")  # ZAP70 gene

# Retrieve and parse pathway data
data = k.get("hsa04660")
parsed = k.parse(data)

# Extract pathway interactions
interactions = k.parse_kgml_pathway("hsa04660")
relations = interactions['relations']  # Protein-protein interactions

# Convert to Simple Interaction Format
sif_data = k.pathway2sif("hsa04660")

Read the full file on GitHub · 360 lines

Files

What ships with it

7 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. 2d ago First seen · 360 lines · 73 tokens per session scan A 6a11a38ba4a9

Subscribe to this mod's changes

bioservices is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 73 tokens to every session and 2,389 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to bioservices, differing in 68 lines, and is treated as a copy.

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