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Biopython

Checked
moosegoose0701·vlatest·other·Apache-2.0

This skill utilizes Biopython for parsing and manipulating biological data like DNA sequences, streamlining bioinformatics workflows and analysis.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add dp-archive/archive --skill biopython -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

moosegoose0701

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned moosegoose0701/skill-compose at f8bf8cab69.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f8bf8cab69
Manifest
seed_skills/biopython/SKILL.md
Scanned
8 files, 3,369 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides access to Biopython, a powerful suite of tools for computational biology. It allows AI agents to analyze biological sequences (DNA, RNA, protein), perform sequence alignments, and work with phylogenetic trees. The skill enables tasks like identifying genes within a DNA sequence or comparing the similarity between two proteins.

When to use it

  • Analyzing genomic data: When you need to extract information from raw DNA or RNA sequences.
  • Protein structure comparison: To determine similarities and differences in protein structures for research purposes.
  • Phylogenetic analysis: Building evolutionary trees based on sequence comparisons.
  • Identifying potential drug targets: Analyzing the genetic makeup of pathogens to find vulnerabilities.

Key capabilities

  • Sequence alignment (global, local)
  • DNA/RNA sequence parsing and manipulation
  • Protein structure analysis
  • Phylogenetic tree construction
  • Database searching for homologous sequences

Example prompts

  • "Analyze this DNA sequence: [sequence] and identify any potential gene start codons."
  • "Compare the amino acid sequences of these two proteins: [protein1], [protein2] and calculate their similarity score."
  • “Build a phylogenetic tree based on these nucleotide sequences: [sequences].”

Tips & gotchas

  • Requires familiarity with biological sequence formats (FASTA, GenBank).
  • Biopython can be computationally intensive for very large datasets.