UniTox Query Skill

SkillDatabases & data

Query the UniTox drug toxicity database. Use whenever the user asks about organ-system toxicity ratings for a drug, multi-organ toxicity profiles, or wants to look up any entity (drug name, SMILES, SPL_ID) in UniTox.

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 UniTox Query Skill skill

What this skill tells your AI

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

Search UniTox records by any entity. Auto-detects type by pattern:

Input Pattern	Detected As	Match Logic
`b2b3be70-17d8-...` (UUID)	SPL_ID	exact on `SPL_ID`
long string with `=`, `[`, `]`, `@`	SMILES	exact on `smiles` / `all_smiles`
anything else	free text	case-insensitive substring on `generic_name`

API

Function	Input	Returns
`load_unitox(path)`	TSV path	list[dict] (cached)
`search(entity)`	single entity string	list[dict]
`search_batch(entities)`	list of entity strings	dict[str, list[dict]]
`summarize(hits, entity)`	hits + label	compact ratings-only text
`summarize_with_reasoning(hits, entity, systems)`	hits + label + organ list	text with truncated reasoning
`to_json(hits)`	hits	list[dict] (ratings + metadata)
`list_drugs()`	–	sorted list of all drug names

Toxicity Systems (8 organs)

Each drug has ternary rating (No / Low / High) and binary rating (Yes / No) for:

System key	Organ
`cardiotoxicity`	Heart
`dermatological_toxicity`	Skin
`hematological`	Blood
`infertility`	Reproductive
`liver_toxicity`	Liver
`ototoxicity`	Ear / Hearing
`pulmonary_toxicity`	Lung
`renal_toxicity`	Kidney

Usage

See if __name__ == "__main__" block in 28_UniTox.py for runnable examples covering: single drug name search, batch search, JSON output, detailed reasoning for specific organ systems, and total drug count.

Data

Source: UniTox v1 from Zenodo (https://zenodo.org/records/11627822)
Paper: https://doi.org/10.1101/2024.06.21.24309315
Format: CSV or TSV (delimiter auto-detected from header line)
Columns: generic_name, 8 × (*_reasoning, *_ternary_rating, *_binary_rating), smiles, all_smiles, SPL_ID
Path: DATA_PATH variable in 28_UniTox.py
Method: GPT-4o extraction from FDA drug labels; 85–96% clinician concordance

Signals

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

Advanced

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

github.com/qsong-github/drugclaw