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Kegg Database

Listed
jimmc414·vlatest·database

Queries KEGG pathway databases to identify genes, compounds, and biological processes related to user-defined inputs.

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 jimmc414/kosmos --skill kegg-database -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

jimmc414

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 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.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: rest.kegg.jp, www.kegg.jp.

    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.

    Hosts contacted

    rest.kegg.jpundeclaredwww.kegg.jpundeclared

    What it found

    • kosmos-claude-scientific-skills/scientific-skills/kegg-database/scripts/kegg_api.py:7contacts rest.kegg.jp
      API Base URL: https://rest.kegg.jp
    • kosmos-claude-scientific-skills/scientific-skills/kegg-database/scripts/kegg_api.py:19contacts rest.kegg.jp
      KEGG_BASE_URL = "https://rest.kegg.jp"
    • kosmos-claude-scientific-skills/scientific-skills/kegg-database/scripts/kegg_api.py:8contacts www.kegg.jp
      Documentation: https://www.kegg.jp/kegg/rest/keggapi.html

  • 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 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 jimmc414/kosmos at 6cfe7f690d.

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

Commit
6cfe7f690d
Manifest
kosmos-claude-scientific-skills/scientific-skills/kegg-database/SKILL.md
Scanned
3 files, 923 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 the KEGG (Kyoto Encyclopedia of Genes and Genomes) database. It allows AI agents to retrieve information about biological pathways, genes, proteins, and other molecular entities described within KEGG's curated knowledge base. The agent can use this data for tasks like pathway analysis, gene function prediction, and drug target identification.

When to use it

  • Biomedical Research: Analyze gene expression data in relation to known metabolic pathways.
  • Drug Discovery: Identify potential drug targets by examining KEGG pathways associated with a disease.
  • Systems Biology: Build models of biological systems using information from KEGG's pathway maps.
  • Education: Provide students with access to detailed information about biochemical processes and genetic interactions.

Key capabilities

  • Access to KEGG pathway data
  • Gene/protein information retrieval
  • Pathway analysis tools
  • Data visualization (implied)

Example prompts

  • "What is the KEGG pathway for glycolysis?"
  • "Find genes involved in the insulin signaling pathway."
  • "Describe the function of protein BRACA1 according to KEGG data."

Tips & gotchas

The skill requires a stable internet connection to access the KEGG database. Results may be complex and require some biological expertise to interpret correctly.