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Genome Analyzer

Checked
artwist-polyakov·vlatest·other·MIT

This Genome Analyzer swiftly extracts key genetic information and patterns from provided DNA sequences, aiding in research 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 artwist-polyakov/polyakov-claude-skills --skill genome-analyzer -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

artwist-polyakov

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

    No pipe-to-shell or download-and-run installers.

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

  • Pinned to a commit: passed

    Scanned artwist-polyakov/polyakov-claude-skills at b86e36d86e.

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

Commit
b86e36d86e
Manifest
plugins/genome-analizer/skills/genome-analizer/SKILL.md
Scanned
1 file, 134 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

The genome-analyzer skill provides the ability to analyze genetic sequences and data. It can identify genes, predict protein structures based on DNA sequences, and potentially infer traits or predispositions from genomic information. This skill is designed for researchers and those working with biological datasets.

When to use it

  • Gene Identification: You need to quickly locate specific genes within a long DNA sequence.
  • Protein Prediction: You want to predict the amino acid sequence of a protein based on its corresponding gene sequence.
  • Trait Inference (potential): You're exploring potential links between genetic markers and observable characteristics.
  • Data Analysis Support: Assist with analyzing large genomic datasets for research purposes.

Key capabilities

  • Gene identification from DNA sequences
  • Protein structure prediction based on DNA sequences
  • Potential inference of traits or predispositions (experimental)

Example prompts

  • "Analyze this DNA sequence: [paste sequence here] and identify any known genes."
  • "Predict the protein sequence encoded by this gene: [paste gene sequence here]."
  • "Based on this genome data, what are the likely phenotypic traits? [paste genomic data]"

Tips & gotchas

The accuracy of trait inference is experimental and may not be reliable. Ensure input sequences are properly formatted for optimal results.