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Kegg Database

Listed
ovachiever·vlatest·database

Access and query ovachiever's comprehensive KEGG pathway database for biological insights and research data.

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 ovachiever/droid-tings --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

ovachiever

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

    • skills/kegg-database/scripts/kegg_api.py:7contacts rest.kegg.jp
      API Base URL: https://rest.kegg.jp
    • skills/kegg-database/scripts/kegg_api.py:19contacts rest.kegg.jp
      KEGG_BASE_URL = "https://rest.kegg.jp"
    • 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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
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 and querying capabilities of the KEGG (Kyoto Encyclopedia of Genes and Genomes) database. It allows users to retrieve information about biological pathways, genes, proteins, and other molecular entities described within KEGG's curated knowledge base. The skill can be used for tasks such as identifying related genes in a pathway or retrieving specific protein descriptions.

When to use it

  • Researching gene interactions: Investigate how genes function together within defined metabolic or signaling pathways.
  • Understanding disease mechanisms: Explore KEGG pathways associated with particular diseases to identify potential therapeutic targets.
  • Analyzing genomic data: Retrieve information about genes and proteins identified in genomic sequencing experiments.
  • Building biological models: Use pathway information from KEGG as a foundation for constructing computational models of biological systems.

Key capabilities

  • Pathway retrieval by name or ID
  • Gene/protein lookup within pathways
  • Access to pathway diagrams and annotations
  • Retrieval of gene/protein descriptions

Example prompts

  • "Show me the KEGG pathway for glycolysis."
  • "What genes are involved in the 'MAPK signaling pathway'?"
  • "Describe the function of protein TP53 according to KEGG data."
  • “Find pathways related to Alzheimer’s disease.”

Tips & gotchas

  • KEGG database identifiers (e.g., pathway IDs, gene IDs) are required for precise queries. Familiarity with KEGG nomenclature is helpful.