Agent skill · Databases

drugcentral-query

Query the DrugCentral drug pharmacology database. Use whenever the user asks about approved drug structures, drug targets, pharmacological actions, or wants to look up any entity (drug name, DrugCentral ID, CAS number, InChIKey) in DrugCentral.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill drugcentral --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/drugclaw/drugcentral/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# DrugCentral Query Skill Search local DrugCentral flat files by any entity. Auto-detects query type: | Input Pattern | Detected As | Match Logic | |---|---|---| | `860` (numeric) | DrugCentral ID | exact on `ID` | | `50-78-2` (NNN-NN-N) | CAS Number | exact on `CAS_RN` | | `BSYNRYMUTXBXSQ` or full key | InChIKey (prefix or full) | prefix match on `InChIKey` | | anything else | free text | substring on `INN` (drug name) | ## Data Download from <https://drugcentral.org/download>: | File | Description | Required | |---|---|---| | `structures.smiles.tsv` | SMILES, InChI, InChIKey, ID, INN, CAS_RN | **Yes** | | `drug.target.interaction.tsv` | Drug-target interaction profiles (gene, action, potency) | Recommended | | `FDA+EMA+PMDA_Approved.csv` | Approval status (ID, drug_name) | Optional | Place files in `DATA_DIR` (default: `resources_metadata/drug_knowledgebase/DrugCentral`, or set env `DRUGCENTRAL_DIR`). ## API | Function | Input | Returns | |---|---|---| | `search(entity)` | single entity string | `dict` with `structures`, `targets`, `approved` | | `search_batch(entities)` | list or comma-separated string | `dict[str, dict]` | | `summarize(result, entity)` | search result dict + la

What's inside
Steps it walks through
  1. Data
  2. API
  3. Key Fields
  4. Usage
  5. Source
Ships with 5 files
  • README.md
  • __init__.py
  • drugcentral_skill.py
  • example.py
  • retrieve.py
More from awesome-bio-agent-skills
All skills →
About this skill
What does the drugcentral-query skill do?

Query the DrugCentral drug pharmacology database. Use whenever the user asks about approved drug structures, drug targets, pharmacological actions, or wants to look up any entity (drug name, DrugCentral ID, CAS number, InChIKey) in DrugCentral.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill drugcentral --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going