Agent skill · Databases

ADReCS-query

Query the ADReCS (Adverse Drug Reaction Classification System) v3.3 database. Use whenever the user asks about adverse drug reactions, drug safety profiles, ADR classification, ADR severity/frequency, or wants to look up any entity (drug name, BADD Drug ID, DrugBank ID, ATC code, CAS RN, PubChem CID, KEGG ID, ADR term, ADReCS ID, MedDRA code, MeSH ID) in ADReCS.

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

# ADReCS Query Skill Search ADReCS v3.3 records by any entity. Auto-detects type by prefix: | Input Pattern | Detected As | Example | |---|---|---| | `BADD_D00142` | BADD Drug ID | exact on drug_id column | | `DB00945` | DrugBank ID | resolved via Drug_information | | `A02BC01` | ATC code | resolved via Drug_information | | `50-78-2` | CAS RN | resolved via Drug_information | | `CID2244` or bare digits | PubChem CID | resolved via Drug_information | | `D00109` (5-digit) | KEGG ID | resolved via Drug_information | | `08.06.02.001` | ADReCS ID | substring on ADReCS_ID column | | `10003781` (8-digit) | MedDRA code | resolved via ADR_ontology | | `D######` (6+ digit) | MeSH ID | resolved via ADR_ontology | | anything else | free text | substring on drug_name OR ADR_term | ## API | Function | Input | Returns | |---|---|---| | `load_drug_adr(path)` | txt path | DataFrame (Drug–ADR pairs) | | `load_drug_info(path)` | xlsx path | DataFrame (drug metadata) | | `load_adr_ontology(path)` | xlsx path | DataFrame (ADR hierarchy) | | `search(entity)` | single entity string | DataFrame of matching Drug–ADR rows | | `search_batch(entities)` | list of entity strings | dict[str, DataFrame] | | `summ

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

Query the ADReCS (Adverse Drug Reaction Classification System) v3.3 database. Use whenever the user asks about adverse drug reactions, drug safety profiles, ADR classification, ADR severity/frequency, or wants to look up any entity (drug name, BADD Drug ID, DrugBank ID, ATC code, CAS RN, PubChem CID, KEGG ID, ADR term, ADReCS ID, MedDRA code, MeSH ID) in ADReCS.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill adrecs --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