chembl-database

chembl-database is a skill for Claude Code, Codex from Zaoqu-Liu/ScienceClaw. It costs 45 tokens per session (2,632 once invoked), scanned A, a copy of chembl-database, MIT.

A programming interface to ChEMBL, a curated database of biologically active molecules and their effects on drug targets.

In plain words
What is it for?
It helps find compounds by name, structure, or properties; look up drug targets and approved drugs; and study compound activity and structure–activity relationships.
Why use it?
It removes the need to search and combine compound, target, and activity information manually. It supports measurements such as IC50 and Ki, which describe how strongly a molecule affects a target.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/zaoqu-liu/scienceclaw/chembl-database
Any agent
npx skills add Zaoqu-Liu/ScienceClaw --skill chembl-database
Clone the repo
git clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClaw

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for chembl-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/chembl-database.svg)](https://agentmods.dev/skills/zaoqu-liu/scienceclaw/chembl-database)
Your own site
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/chembl-database"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/chembl-database.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,632 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.02632
Opus 5 $0.00023 $0.01316
Sonnet 5 $0.00009 $0.00526
Haiku 4.5 $0.00005 $0.00263

Measured 6d ago against content hash 2171fdbfa3e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

chembl-database scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

86% identical to chembl-database — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/chembl-database/SKILL.md · 389 lines

How it starts

The opening of the file, as written. The whole thing — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ChEMBL Database

Overview

ChEMBL is a manually curated database of bioactive molecules maintained by the European Bioinformatics Institute (EBI), containing over 2 million compounds, 19 million bioactivity measurements, 13,000+ drug targets, and data on approved drugs and clinical candidates. Access and query this data programmatically using the ChEMBL Python client for drug discovery and medicinal chemistry research.

When to Use This Skill

This skill should be used when:

  • Compound searches: Finding molecules by name, structure, or properties
  • Target information: Retrieving data about proteins, enzymes, or biological targets
  • Bioactivity data: Querying IC50, Ki, EC50, or other activity measurements
  • Drug information: Looking up approved drugs, mechanisms, or indications
  • Structure searches: Performing similarity or substructure searches
  • Cheminformatics: Analyzing molecular properties and drug-likeness
  • Target-ligand relationships: Exploring compound-target interactions
  • Drug discovery: Identifying inhibitors, agonists, or bioactive molecules

Installation and Setup

Python Client

The ChEMBL Python client is required for programmatic access:

uv pip install chembl_webresource_client

Basic Usage Pattern

from chembl_webresource_client.new_client import new_client

# Access different endpoints
molecule = new_client.molecule
target = new_client.target
activity = new_client.activity
drug = new_client.drug

Core Capabilities

1. Molecule Queries

Retrieve by ChEMBL ID:

molecule = new_client.molecule
aspirin = molecule.get('CHEMBL25')

Search by name:

results = molecule.filter(pref_name__icontains='aspirin')

Filter by properties:

# Find small molecules (MW <= 500) with favorable LogP
results = molecule.filter(
    molecule_properties__mw_freebase__lte=500,
    molecule_properties__alogp__lte=5
)

2. Target Queries

Retrieve target information:

target = new_client.target
egfr = target.get('CHEMBL203')

Read the full file on GitHub · 389 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 389 lines · 45 tokens per session scan A 2171fdbfa3e6

Subscribe to this mod's changes

chembl-database is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 45 tokens to every session and 2,632 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to chembl-database, differing in 6 lines, and is treated as a copy.

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