biopython

A Python toolkit for working with DNA, RNA, and protein data, including biological file formats such as FASTA, GenBank, FASTQ, and PDB. It also provides database access, sequence analysis, structure work, and evolutionary-tree tools.

In plain words
What is it for?
Use it to edit and convert sequences, parse biology files, access NCBI and PubMed, automate BLAST searches, align sequences, analyze protein structures, find motifs, and build phylogenetic trees.
Why use it?
It brings common molecular-biology operations into one programming library, avoiding separate tools for file handling, sequence analysis, and database searches.

Skill for Claude CodeCodex

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/magic3007/dotfiles/biopython
Any agent
npx skills add magic3007/dotfiles --skill biopython
Clone the repo
git clone --depth 1 https://github.com/magic3007/dotfiles

Made for: Claude Code, Codex.

Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,620 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 83% 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 $0.00076 $0.03620
Opus 5 $0.00038 $0.01810
Sonnet 5 $0.00015 $0.00724
Haiku 4.5 $0.00008 $0.00362

Measured yesterday against content hash 05bb5aa66dd3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

biopython 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 yesterday.

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

83% identical to biopython — 46 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.

claude/skills/scientific-agent-skills/skills/biopython/SKILL.md · 455 lines

How it starts

The opening of the file, as written. The whole thing — 455 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Biopython: Computational Molecular Biology in Python

Overview

Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks. The current version is Biopython 1.87 (released March 2026). It requires Python 3.10+ and NumPy.

When to Use This Skill

Use this skill when:

  • Working with biological sequences (DNA, RNA, or protein)
  • Reading, writing, or converting biological file formats (FASTA, GenBank, FASTQ, PDB, mmCIF, etc.)
  • Accessing NCBI databases (GenBank, PubMed, Protein, Gene, etc.) via Entrez
  • Running BLAST searches or parsing BLAST results
  • Performing sequence alignments (pairwise or multiple sequence alignments)
  • Analyzing protein structures from PDB files
  • Creating, manipulating, or visualizing phylogenetic trees
  • Finding sequence motifs or analyzing motif patterns
  • Calculating sequence statistics (GC content, molecular weight, melting temperature, etc.)
  • Performing structural bioinformatics tasks
  • Working with population genetics data
  • Any other computational molecular biology task

Core Capabilities

Biopython is organized into modular sub-packages, each addressing specific bioinformatics domains:

  1. Sequence Handling - Bio.Seq and Bio.SeqIO for sequence manipulation and file I/O
  2. Alignment Analysis - Bio.Align and Bio.AlignIO for pairwise and multiple sequence alignments
  3. Database Access - Bio.Entrez for programmatic access to NCBI databases
  4. BLAST Operations - Bio.Blast for running and parsing BLAST searches
  5. Structural Bioinformatics - Bio.PDB for working with 3D protein structures
  6. Phylogenetics - Bio.Phylo for phylogenetic tree manipulation and visualization
  7. Advanced Features - Motifs, population genetics, sequence utilities, and more

Installation and Setup

Install Biopython (requires Python 3.10+ and NumPy):

Read the full file on GitHub · 455 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. yesterday First seen · 455 lines · 76 tokens per session scan A 05bb5aa66dd3

Subscribe to this mod's changes

biopython is a skill published in the GitHub repository magic3007/dotfiles (10 stars, last pushed 6d ago), licensed MIT. It adds 76 tokens to every session and 3,620 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to biopython, differing in 46 lines, and is treated as a copy.

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