<< All versions

Skill v1.0.0

currentAutomated scan100/100
qsong-github/drugclaw/atc
──Details
PublishedOctober 19, 2026 at 01:25 PM
Content Hashsha256:764bc4c255e7ea6b...
Git SHA2600ed38273c
──Files
Files (1 file, 2.0 KB)
SKILL.md2.0 KBactive
SKILL.md · 63 lines · 2.0 KB

version: "1.0.0" name: 27_ATC_DDD description: > Query the WHO ATC/DDD Classification System. Use whenever the user asks about ATC codes, drug classification hierarchy, Defined Daily Doses (DDD), or wants to look up drugs by ATC class or find the ATC code for a drug name.


ATC/DDD Query Skill

Look up ATC classification and DDD data for drugs. Auto-detects entity type:

Input PatternDetected AsQuery Path
N02BA A10BA02 C09XX01ATC codelocal DDD lookup + RxNav member drugs
aspirin metformindrug nameRxNav ATC classification + local DDD match

ATC code regex: ^[A-Z]\d{2}([A-Z]{1,2}\d{0,2})?$

API

FunctionInputReturns
load_local(path)Excel pathlist[dict] — cached ATC/DDD records
search(entity)single stringdict with entity, entity_type, local_hits, api_hits
search_batch(entities)list of stringsdict[str, dict] — keyed by entity
summarize(result)search result dictcompact LLM-readable text
to_json(result)search result dictJSON string

All functions accept use_api=True|False to toggle RxNav queries (default: on).

Usage

See if __name__ == "__main__" block in 27_ATC_DDD.py for runnable examples:

python
from importlib import import_module
atc = import_module("27_ATC_DDD")
# Drug name → ATC classes
r = atc.search("aspirin")
print(atc.summarize(r))
# ATC code → member drugs + DDD
r = atc.search("N02BA")
print(atc.summarize(r))
# Batch
results = atc.search_batch(["metformin", "A10BA02", "C09XX01"])
# JSON for pipeline
print(atc.to_json(atc.search("sparsentan")))

Data

  • Local file: ATC_DDD_new and alterations 2026_final.xlsx
  • Columns: atc_code, atc_level_name, new_ddd, unit, adm_route, note
  • Path: DATA_DIR / XLSX_PATH in 27_ATC_DDD.py
  • Remote API: RxNav RxClass (rxnav.nlm.nih.gov/REST/rxclass/)
  • Citation: WHOCC — WHO Collaborating Centre for Drug Statistics Methodology, ATC/DDD Index 2026. https://atcddd.fhi.no/atc_ddd_index/
All versions