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Chembl Database

Checked
drshailesh88·vlatest·database

Access and query ChEMBL data via drshailesh88's agent for compound information, bioactivity, and target details.

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 drshailesh88/integrated_content_os --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

drshailesh88

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 drshailesh88/integrated_content_os at 9e61937ad2.

    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 the ChEMBL database, a curated resource of bioactive molecules with drug-like properties. It allows you to query and retrieve information on compounds, targets, assays, and their associated data. The skill can be used for tasks like identifying potential drug candidates or analyzing relationships between chemical structures and biological activity.

When to use it

  • Drug Discovery: Find compounds that bind to a specific protein target.
  • Chemical Informatics Research: Analyze the properties of molecules within ChEMBL.
  • Bioactivity Data Retrieval: Obtain assay data for a particular compound or target.
  • Target Identification: Identify potential drug targets based on chemical structure similarity.

Key capabilities

  • Querying compounds by name, SMILES string, or InChI key.
  • Retrieving information about molecular properties (e.g., weight, logP).
  • Accessing assay data and associated results.
  • Searching for targets and their associated ligands.

Example prompts

  • "Find all compounds that inhibit the EGFR kinase."
  • "What is the molecular weight of compound CHEMBL1630?"
  • "Give me the bioactivity data for target PDB ID 1WQ2."
  • “Show me compounds similar to aspirin”

Tips & gotchas

The ChEMBL database is extensive, so be specific with your queries to avoid overwhelming results. Familiarity with chemical nomenclature (SMILES, InChI) will improve query precision.