Agent skill

Chembl

by lamm-mit in lamm-mit/scienceclaw

Small-molecule drug lookup by exact drug name or ChEMBL ID. An agent skill from lamm-mit/scienceclaw.

Apache-2.0Auto-check passedResearch & Science

Install Chembl

skills CLI
$ npx skills add lamm-mit/scienceclaw --skill chembl -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lamm-mit/scienceclaw chembl --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/chembl .claude/skills/chembl && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
chembl
GitHub stars
244
Token cost
~841 tokens
SKILL.md length
319 words
Files
3 (incl. scripts)
Skills in repo
85
Repo updated
First seen
Licence
Apache-2.0

At a glance

Small-molecule drug lookup by exact drug name or ChEMBL ID. An agent skill from lamm-mit/scienceclaw.

  • Works in 3 steps: Search PubMed first with the mechanism… → Extract specific small-molecule compound… → Then query ChEMBL with those specific…
  • Tasks that involve Academic paper search
  • SKILL.md covers IMPORTANT: Query must be a…, When NOT to Use This Skill, Overview and Usage, plus 3 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Chembl is an agent skill from lamm-mit/scienceclaw. Small-molecule drug lookup by exact drug name or ChEMBL ID. Query MUST be a single drug name or ID — 1 to 3 words maximum. Valid examples: 'sotorasib', 'imatinib', 'ibrutinib', 'CHEMBL25', 'AMG 510'. If the topic is 'sotorasib KRAS G12C', the correct query is 'sotorasib'. If the topic is 'BTK inhibitors in CLL', search PubMed first to get a specific drug name, then query ChEMBL with that name. Strip protein names, mutation labels, and mechanism words — pass only the compound name.

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/chembl_search.py`).

It sits in Research & Science, covering Academic paper search and Drug discovery and cheminformatics. It works with PubMed. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Academic paper search
  • Tasks that involve Drug discovery and cheminformatics

Example prompts

  • “sotorasib”
  • “imatinib”
  • “ibrutinib”
  • “/chembl”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Search PubMed first with the mechanism query
  2. Extract specific small-molecule compound names from the papers (e.g. "ARV-110", "dBET6", "MZ1")
  3. Then query ChEMBL with those specific names

What it can do on your machine

Read from SKILL.md and the folder at commit ab9aba1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Chembl loads about 841 tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 319 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~123
When it runs · the whole SKILL.md, loaded when a task matches
~841

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 319 words, ~841 tokens.

Download SKILL.mdSave it as .claude/skills/chembl/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
chembl
description
Small-molecule drug lookup by exact drug name or ChEMBL ID. Query MUST be a single drug name or ID — 1 to 3 words maximum. Valid examples: 'sotorasib', 'imatinib', 'ibrutinib', 'CHEMBL25', 'AMG 510'. If the topic is 'sotorasib KRAS G12C', the correct query is 'sotorasib'. If the topic is 'BTK inhibitors in CLL', search PubMed first to get a specific drug name, then query ChEMBL with that name. Strip protein names, mutation labels, and mechanism words — pass only the compound name.

ChEMBL Drug and Compound Lookup

Query the ChEMBL database for drug-like molecules, drug targets, and bioactivity data. ChEMBL is EBI's open database of drug discovery and medicinal chemistry.

IMPORTANT: Query must be a specific drug or compound name

ChEMBL searches by molecule name. Always use a specific drug name or compound identifier (e.g. sotorasib, ibrutinib, CHEMBL1873475). Do NOT pass topic phrases like "kinase inhibitor resistance" — these will return garbage results. If the topic mentions multiple drugs, pick the most specific one.

When NOT to Use This Skill

Do NOT use ChEMBL when the query is any of the following — it will return large biologics, cell therapy entries, or protein records with MW=?, logP=?, phase=-1:

  • Biological therapies: cell therapies, stem cells, antibodies, CAR-T, biologics (e.g. "allogeneic mesenchymal stem cells", "anti-PD1 antibody")
  • Mechanism or concept phrases: "proximity-induced degradation", "PROTAC linker", "covalent warhead", "undruggable target"
  • Disease names without a specific drug: "Alzheimer's disease", "pancreatic cancer", "KRAS oncogenesis"
  • Pathway or process terms: "mTOR signaling", "ubiquitin-proteasome pathway", "kinase cascade"

Correct workflow for mechanism-based topics (e.g. PROTAC, degrader, proximity):

  1. Search PubMed first with the mechanism query
  2. Extract specific small-molecule compound names from the papers (e.g. "ARV-110", "dBET6", "MZ1")
  3. Then query ChEMBL with those specific names

Overview

  • Search molecules by name or ChEMBL ID
  • Retrieve molecular properties, SMILES, drug indications
  • Find targets and bioactivity (IC50, Ki, etc.)
  • No API key required

Usage

Search by compound or drug name
bash
python3 {baseDir}/scripts/chembl_search.py --query "aspirin"
Get molecule by ChEMBL ID
bash
python3 {baseDir}/scripts/chembl_search.py --chembl-id CHEMBL25
Detailed output
bash
python3 {baseDir}/scripts/chembl_search.py --query "imatinib" --format detailed
Limit search results
bash
python3 {baseDir}/scripts/chembl_search.py --query "kinase inhibitor" --max-results 5

Parameters

ParameterDescriptionDefault
--queryCompound or drug name or search term-
--chembl-idChEMBL molecule ID (e.g. CHEMBL25)-
--max-resultsMax results for search10
--formatOutput: summary, detailed, jsonsummary

Output

  • Summary: ChEMBL ID, pref_name, molecular formula, MW, SMILES, max_phase
  • Detailed: Adds drug type, first approval, indications, targets
  • JSON: Full API response

Notes

  • ChEMBL IDs look like CHEMBL25, CHEMBL1234567
  • Use --query for name or text search
  • Use --chembl-id when you know the exact molecule ID

© lamm-mit, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/chembl of lamm-mit/scienceclaw.

  • SKILL.md
  • scripts/__pycache__/chembl_search.cpython-313.pyc
  • scripts/chembl_search.py

Open the folder on GitHubat commit ab9aba1

Compare with similar skills

Chembl next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Chembl compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Chembl this skilllamm-mit/scienceclaw244—~841Automated safety check: PassApache-2.0
Literature Reviewneflibata-feng/MyArxiv-Agent12621 repos~5.9kAutomated safety check: NotesMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k3 repos~3.9kAutomated safety check: NotesMIT
Citation Managementneflibata-feng/MyArxiv-Agent12620 repos~8.1kAutomated safety check: NotesMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT
Rival Search MCPdamionrashford/RivalSearchMCP1321 repos~796Automated safety check: PassMIT

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Works with

Questions about Chembl

What does Chembl do?

Small-molecule drug lookup by exact drug name or ChEMBL ID. An agent skill from lamm-mit/scienceclaw. Chembl is an agent skill from lamm-mit/scienceclaw. Small-molecule drug lookup by exact drug name or ChEMBL ID.

When should I use Chembl?

Chembl fits situations like: tasks that involve Academic paper search; tasks that involve Drug discovery and cheminformatics.

How do I install Chembl in Claude Code?

Run `npx skills add lamm-mit/scienceclaw --skill chembl -a claude-code`. Or copy the skill folder (skills/chembl in lamm-mit/scienceclaw) into .claude/skills/chembl in your project. Claude Code loads it when a task matches its description.

How do I install Chembl in Codex?

Run `npx skills add lamm-mit/scienceclaw --skill chembl -a codex`. Or copy the skill folder (skills/chembl in lamm-mit/scienceclaw) into .agents/skills/chembl in your project. Codex loads it when a task matches its description.

Can I use Chembl in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lamm-mit/scienceclaw --skill chembl -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chembl, .gemini/skills/chembl, .github/skills/chembl and .opencode/skills/chembl in your project.

What does Chembl need to run?

Going by SKILL.md and its folder, Chembl needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Chembl access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Chembl safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Chembl use?

Chembl is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Chembl use?

About 841 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Chembl?

Skills that share tags, products or a category with Chembl: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars) and Paper Search (openags/paper-search-mcp, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Chembl?

lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 21, 2026.

Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.