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Chembl Database

Checked
ovachiever·vlatest·database

Queries and extracts chemical data, structures, and bioactivity information from the ChEMBL database for research purposes.

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 chembl-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 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 ovachiever/droid-tings at 7acd12a754.

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

Scanned
3 files, 846 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 ChEMBL database, a curated resource of bioactive molecules with drug-like properties. It allows users to retrieve information about chemical compounds, their biological activities, and associated targets. The skill can be used for tasks like identifying potential drug candidates or exploring relationships between chemicals and diseases.

When to use it

  • Drug Discovery Research: Find compounds with specific activity against a target protein.
  • Chemical Informatics Analysis: Explore the chemical space of known bioactive molecules.
  • Bioactivity Data Retrieval: Obtain detailed information about the biological activities of particular compounds.
  • Target Identification: Identify potential drug targets based on compound interactions.

Key capabilities

  • Query ChEMBL database for chemical compounds.
  • Retrieve bioactivity data associated with compounds.
  • Access information about target proteins and their interactions.
  • Search by chemical name, structure or activity.

Example prompts

  • "Find all compounds that inhibit the EGFR kinase."
  • "What is the molecular weight of compound AZD0530?"
  • "List all targets for compounds with ChEMBL ID CHEMBL123456."

Tips & gotchas

The ChEMBL database is vast; be as specific as possible in your queries to avoid overwhelming results. Familiarity with chemical nomenclature and target terminology will improve query effectiveness.