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Chembl Database

Checked
jimmc414·vlatest·database

Access and query ChEMBL's vast chemical and biological data for compound properties, bioactivity, and targets.

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 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

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 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 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/chembl-database/SKILL.md
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. ChEMBL is a curated, open-source database of bioactive molecules with drug-like properties. It contains data on compounds, targets, assays, and associated activities, enabling researchers to explore chemical space and identify potential therapeutic candidates.

When to use it

  • Drug Discovery Research: Identify compounds that inhibit or activate specific biological targets.
  • Chemical Informatics Analysis: Analyze trends in compound activity across different assay types.
  • Target Validation: Find existing data on a target of interest, including known inhibitors and assays.
  • Bioactivity Prediction: Use the database as a reference for predicting the bioactivity of novel compounds.

Key capabilities

  • Access to ChEMBL compound data
  • Querying by chemical structure or name
  • Retrieval of assay results for specific targets
  • Data filtering based on activity values

Example prompts

  • "Find all compounds that inhibit protein kinase CK2 with an IC50 less than 10 micromolar."
  • "What are the known assays for target EGFR?"
  • "Give me a list of compounds similar to aspirin."

Tips & gotchas

The ChEMBL database is very large. Be specific in your queries to avoid overwhelming results and ensure efficient data retrieval.