WHO Essential Medicines List Query Skill

SkillAI & models

Query the WHO Model List of Essential Medicines (23rd list, 2023). Use whenever the user asks about essential medicines, WHO-recommended drugs, dosage forms, therapeutic sections, or AWaRe antibiotic classification.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the WHO Essential Medicines List Query Skill skill

What this skill tells your AI

The instructions your AI receives, as published by qsong-github/drugclaw in skills/drug_knowledgebase/who_eml/SKILL.md and read by ahel’s review.

Search ~500 WHO essential medicines by name, section, or section number. Case-insensitive substring match.

Input Example	Matches On
`amoxicillin`	medicine name
`antimalarial`	section hierarchy (full path)
`diabetes`	section hierarchy
`6.2`	section_num prefix

API

Function	Input	Returns
`load_eml(cache_path)`	JSON path	list[dict]
`build_cache(pdf_path, cache_path)`	PDF + cache paths	list[dict] (parses PDF → JSON)
`search(data, entity)`	single string	list[dict]
`search_batch(data, entities)`	list of strings	dict[str, list[dict]]
`summarize(hits, entity)`	list[dict] + label	compact text
`to_json(hits)`	list[dict]	list[dict]

Record Schema

Field	Example
`medicine`	`amoxicillin`
`section_num`	`6.2.1`
`section_name`	`Anti-infective medicines > Antibacterials > Access group antibiotics`
`dosage_forms`	`["Capsule: 250 mg; 500 mg", "Oral liquid: 125 mg/5 mL"]`

Usage

See if __name__ == "__main__" block in 59_WHO_EML.py for runnable examples.

Data

Source: WHO Model List of Essential Medicines – 23rd List (2023)
PDF: WHO EML 23rd List (2023).pdf in DATA_DIR
Cache: who_eml_23.json (auto-built on first run from PDF)
License: CC BY-NC-SA 3.0 IGO
Dependency: pip install pypdf

Signals

GitHub stars: 116
Forks: 3
Last commit: Aug 2026

ahel review

K1binfo
installs-packages
K1binfo
installs-packages (in example.py)

Automated review, not a security audit. Ruleset v1+k2.

Advanced

Item type: skill
Key: who-eml-query
Source: github.com/qsong-github/drugclaw

github.com/qsong-github/drugclaw