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Biopython

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k-dense-ai·vlatest·backend·MIT

Analyzes biological sequences using Python's Biopython library to identify patterns and relationships within genomic data.

Repository

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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 k-dense-ai/scientific-agent-skills --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

k-dense-ai

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Install target

Live repository

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Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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

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  • No pipe-to-shell installers: passed

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  • Pinned to a commit: passed

    Scanned k-dense-ai/scientific-agent-skills at a1043ef544.

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Commit
a1043ef544
Manifest
skills/biopython/SKILL.md
Scanned
0 files
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About this skill

What it does

This skill leverages the Biopython library to analyze biological sequence data. It can parse common bioinformatics file formats like FASTA and GenBank, perform sequence alignments, and calculate various molecular biology statistics. The agent can also be used for tasks such as identifying conserved regions within sequences or predicting protein domains.

When to use it

  • Analyzing DNA or protein sequences from a research paper to understand evolutionary relationships.
  • Converting between different bioinformatics file formats (e.g., FASTA to GenBank).
  • Calculating basic statistics about a sequence, such as GC content or amino acid composition.
  • Identifying potential binding sites within a DNA sequence.
  • Performing simple sequence alignments for comparative analysis.

Key capabilities

  • FASTA parsing and manipulation
  • GenBank file processing
  • Sequence alignment algorithms (basic)
  • Calculation of molecular biology statistics
  • File format conversion

Example prompts

  • "Parse this FASTA file and tell me the length of each sequence."
  • "Convert this GenBank file to a FASTA format."
  • “Calculate the GC content of this DNA sequence.”

Tips & gotchas

  • Requires familiarity with basic biological concepts.
  • The skill provides basic alignment capabilities; more complex alignments may require specialized tools.